Connor W Coley (Connor Coley)

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 87

Top Venues

Journal of chemical information and modeling

Chemical science

Nature communications

Journal of the American Chemical Society

California Institute of Technology (BSC)

This page only lists publications with an associated author ORCID identifier.

Education History

California Institute of Technology

United States

BSC

Publications

Angus Keto, Taicheng Guo, Morgan Underdue, Thijs Stuyver, Connor W Coley, Xiangliang Zhang, Elizabeth H Krenske, Olaf G Wiest
Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels-Alder Reaction Outcomes. Journal of the American Chemical Society (2024)
Babak A Mahjour, Connor W Coley
RDCanon: A Python Package for Canonicalizing the Order of Tokens in SMARTS Queries. Journal of chemical information and modeling 64 (8) (2024)
Vincent Fan, Yujie Qian, Alex Wang, Amber Wang, Connor W Coley, Regina Barzilay
OpenChemIE: An Information Extraction Toolkit for Chemistry Literature. Journal of chemical information and modeling 64 (14) (2024)
Nicholas David, Wenhao Sun, Connor W Coley
The promise and pitfalls of AI for molecular and materials synthesis. Nature computational science 3 (5) (2024)
Priyanka Raghavan, Alexander J Rago, Pritha Verma, Majdi M Hassan, Gashaw M Goshu, Amanda W Dombrowski, Abhishek Pandey, Connor W Coley, Ying Wang
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data Set. Journal of the American Chemical Society 146 (22) (2024)
Samuel Goldman, Janet Li, Connor W Coley
Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks. Analytical chemistry 96 (8) (2024)
Nicholas David, Wenhao Sun, Connor W Coley
The promise and pitfalls of AI for molecular and materials synthesis. Nature computational science 3 (5) (2024)
Vincent Fan, Yujie Qian, Alex Wang, Amber Wang, Connor W Coley, Regina Barzilay
OpenChemIE: An Information Extraction Toolkit for Chemistry Literature. Journal of chemical information and modeling (2024)
Babak A Mahjour, Connor W Coley
RDCanon: A Python Package for Canonicalizing the Order of Tokens in SMARTS Queries. Journal of chemical information and modeling 64 (8) (2024)
Priyanka Raghavan, Alexander J Rago, Pritha Verma, Majdi M Hassan, Gashaw M Goshu, Amanda W Dombrowski, Abhishek Pandey, Connor W Coley, Ying Wang
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data Set. Journal of the American Chemical Society 146 (22) (2024)
Babak A Mahjour, Connor W Coley
Automation of air-free synthesis. Nature reviews. Chemistry (2024)
David Meijer, Mehdi A Beniddir, Connor W Coley, Yassine M Mejri, Meltem Öztürk, Justin Johan Jozias van der Hooft, Marnix H Medema, Adam Skiredj
Empowering natural product science with AI: leveraging multimodal data and knowledge graphs. Natural product reports (2024)
Nicholas David, Wenhao Sun, Connor W Coley
The promise and pitfalls of AI for molecular and materials synthesis. Nature computational science 3 (5) (2024)
Jenna C Fromer, Connor W Coley
An algorithmic framework for synthetic cost-aware decision making in molecular design. Nature computational science (2024)
David Meijer, Mehdi A Beniddir, Connor W Coley, Yassine M Mejri, Meltem Öztürk, Justin Johan Jozias van der Hooft, Marnix H Medema, Adam Skiredj
Empowering natural product science with AI: leveraging multimodal data and knowledge graphs. Natural product reports (2024)
David Meijer, Mehdi A Beniddir, Connor W Coley, Yassine M Mejri, Meltem Öztürk, Justin Johan Jozias van der Hooft, Marnix H Medema, Adam Skiredj
Empowering natural product science with AI: leveraging multimodal data and knowledge graphs. Natural product reports (2024)
Joonyoung Francis Joung, Mun Hong Fong, Jihye Roh, Zhengkai Tu, John Bradshaw, Connor W Coley
Reproducing Reaction Mechanisms with Machine-Learning Models Trained on a Large-Scale Mechanistic Dataset. Angewandte Chemie (International ed. in English) (2024)
Jenna C Fromer, Connor W Coley
An algorithmic framework for synthetic cost-aware decision making in molecular design. Nature computational science 4 (6) (2024)
Babak A Mahjour, Connor W Coley
RDCanon: A Python Package for Canonicalizing the Order of Tokens in SMARTS Queries. Journal of chemical information and modeling (2024)
Qianxiang Ai, Fan Wang Meng, Jiale Shi, Brenden Pelkie, Connor W Coley
Extracting structured data from organic synthesis procedures using a fine-tuned large language model. Digital discovery (2024)
Babak A Mahjour, Connor W Coley
RDCanon: A Python Package for Canonicalizing the Order of Tokens in SMARTS Queries. Journal of chemical information and modeling 64 (8) (2024)
Qianxiang Ai, Fan Wang Meng, Jiale Shi, Brenden Pelkie, Connor W Coley
Extracting structured data from organic synthesis procedures using a fine-tuned large language model. Digital discovery (2024)
Samuel Goldman, Janet Li, Connor W Coley
Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks. Analytical chemistry (2024)
Babak A Mahjour, Connor W Coley
RDCanon: A Python Package for Canonicalizing the Order of Tokens in SMARTS Queries. Journal of chemical information and modeling 64 (8) (2024)
Priyanka Raghavan, Alexander J Rago, Pritha Verma, Majdi M Hassan, Gashaw M Goshu, Amanda W Dombrowski, Abhishek Pandey, Connor W Coley, Ying Wang
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data Set. Journal of the American Chemical Society 146 (22) (2024)
Priyanka Raghavan, Alexander J Rago, Pritha Verma, Majdi M Hassan, Gashaw M Goshu, Amanda W Dombrowski, Abhishek Pandey, Connor W Coley, Ying Wang
Incorporating Synthetic Accessibility in Drug Design: Predicting Reaction Yields of Suzuki Cross-Couplings by Leveraging AbbVie's 15-Year Parallel Library Data Set. Journal of the American Chemical Society (2024)
Qianxiang Ai, Fan Wang Meng, Jiale Shi, Brenden Pelkie, Connor W Coley
Extracting structured data from organic synthesis procedures using a fine-tuned large language model. Digital discovery (2024)
Angus Keto, Taicheng Guo, Morgan Underdue, Thijs Stuyver, Connor W Coley, Xiangliang Zhang, Elizabeth H Krenske, Olaf G Wiest
Data-Efficient, Chemistry-Aware Machine Learning Predictions of Diels-Alder Reaction Outcomes. Journal of the American Chemical Society 146 (23) (2024)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. Organic letters 25 (17) (2023)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. Organic letters (2023)
Yujie Qian, Jiang Guo, Zhengkai Tu, Connor W Coley, Regina Barzilay
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing. Journal of chemical information and modeling (2023)
Liam Hudson, Jeremy W Mason, Matthias V Westphal, Matthieu J R Richter, Jonathan R Thielman, Bruce K Hua, Christopher J Gerry, Guoqin Xia, Heather L Osswald, John M Knapp, Zher Yin Tan, Praveen Kokkonda, Ben I C Tresco, Shuang Liu, Andrew G Reidenbach, Katherine S Lim, Jennifer Poirier, John Capece, Simone Bonazzi, Christian M Gampe, Nichola J Smith, James E Bradner, Connor W Coley, Paul A Clemons, Bruno Melillo, C Suk-Yee Hon, Johannes Ottl, Christoph E Dumelin, Jonas V Schaefer, Ann Marie E Faust, Frédéric Berst, Stuart L Schreiber, Frédéric J Zécri, Karin Briner
Diversity-oriented synthesis encoded by deoxyoligonucleotides. Nature communications 14 (1) (2023)
Tianyi Jin, Connor W Coley, Alfredo Alexander-Katz
A Computationally Informed Unified View on the Effect of Polarity and Sterics on the Glass Transition in Vinyl-based Polymer Melts. ACS macro letters (2023)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. The Journal of organic chemistry 88 (9) (2023)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. Organic letters 25 (17) (2023)
Rocío Mercado, Steven M Kearnes, Connor W Coley
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data. Journal of chemical information and modeling (2023)
Priyanka Raghavan, Brittany C Haas, Madeline E Ruos, Jules Schleinitz, Abigail G Doyle, Sarah E Reisman, Matthew S Sigman, Connor W Coley
Dataset Design for Building Models of Chemical Reactivity. ACS central science 9 (12) (2023)
Yujie Qian, Jiang Guo, Zhengkai Tu, Zhening Li, Connor W Coley, Regina Barzilay
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation. Journal of chemical information and modeling (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Linfeng Zhang, Connor W Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nature 620 (7972) (2023)
Jeremy W Mason, Yuen Ting Chow, Liam Hudson, Antonin Tutter, Gregory A Michaud, Matthias V Westphal, Wei Shu, Xiaolei Ma, Zher Yin Tan, Connor W Coley, Paul A Clemons, Simone Bonazzi, Frédéric Berst, Karin Briner, Shuang Liu, Frédéric J Zécri, Stuart L Schreiber
DNA-encoded library-enabled discovery of proximity-inducing small molecules. Nature chemical biology (2023)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. The Journal of organic chemistry (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Veličković, Max Welling, Linfeng Zhang, Connor W Coley, Yoshua Bengio, Marinka Zitnik
Publisher Correction: Scientific discovery in the age of artificial intelligence. Nature (2023)
Michael P Maloney, Connor W Coley, Samuel Genheden, Nessa Carson, Paul Helquist, Per-Ola Norrby, Olaf G Wiest
Negative Data in Data Sets for Machine Learning Training. The Journal of organic chemistry 88 (9) (2023)
Priyanka Raghavan, Brittany C Haas, Madeline E Ruos, Jules Schleinitz, Abigail G Doyle, Sarah E Reisman, Matthew S Sigman, Connor W Coley
Dataset Design for Building Models of Chemical Reactivity. ACS central science 9 (12) (2023)
Liam Hudson, Jeremy W Mason, Matthias V Westphal, Matthieu J R Richter, Jonathan R Thielman, Bruce K Hua, Christopher J Gerry, Guoqin Xia, Heather L Osswald, John M Knapp, Zher Yin Tan, Praveen Kokkonda, Ben I C Tresco, Shuang Liu, Andrew G Reidenbach, Katherine S Lim, Jennifer Poirier, John Capece, Simone Bonazzi, Christian M Gampe, Nichola J Smith, James E Bradner, Connor W Coley, Paul A Clemons, Bruno Melillo, C Suk-Yee Hon, Johannes Ottl, Christoph E Dumelin, Jonas V Schaefer, Ann Marie E Faust, Frédéric Berst, Stuart L Schreiber, Frédéric J Zécri, Karin Briner
Author Correction: Diversity-oriented synthesis encoded by deoxyoligonucleotides. Nature communications 14 (1) (2023)
Yujie Qian, Jiang Guo, Zhengkai Tu, Zhening Li, Connor W Coley, Regina Barzilay
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation. Journal of chemical information and modeling (2023)
Samuel Goldman, Jiayi Xin, Joules Provenzano, Connor W Coley
MIST-CF: Chemical Formula Inference from Tandem Mass Spectra. Journal of chemical information and modeling (2023)
Itai Levin, Mengjie Liu, Christopher A Voigt, Connor W Coley
Merging enzymatic and synthetic chemistry with computational synthesis planning. Nature communications 13 (1) (2022)
Itai Levin, Mengjie Liu, Christopher A Voigt, Connor W Coley
Merging enzymatic and synthetic chemistry with computational synthesis planning. Nature communications 13 (1) (2022)
Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W Coley, Yuedong Yang, Ruibo Wu
Deep learning driven biosynthetic pathways navigation for natural products with BioNavi-NP. Nature communications 13 (1) (2022)
Itai Levin, Mengjie Liu, Christopher A Voigt, Connor W Coley
Merging enzymatic and synthetic chemistry with computational synthesis planning. Nature communications 13 (1) (2022)
Matteo Aldeghi, Connor W Coley
A graph representation of molecular ensembles for polymer property prediction. Chemical science 13 (35) (2022)
Zhengkai Tu, Connor W Coley
Permutation Invariant Graph-to-Sequence Model for Template-Free Retrosynthesis and Reaction Prediction. Journal of chemical information and modeling 62 (15) (2022)
Karthik Sankaranarayanan, Esther Heid, Connor W Coley, Deeptak Verma, William H Green, Klavs F Jensen
Similarity based enzymatic retrosynthesis. Chemical science 13 (20) (2022)
Min Htoo Lin, Zhengkai Tu, Connor W Coley
Improving the performance of models for one-step retrosynthesis through re-ranking. Journal of cheminformatics 14 (1) (2022)
Samuel Goldman, Ria Das, Kevin K Yang, Connor W Coley
Machine learning modeling of family wide enzyme-substrate specificity screens. PLoS computational biology 18 (2) (2022)
Matteo Aldeghi, David E Graff, Nathan C Frey, Joseph A Morrone, Edward O Pyzer-Knapp, Kirk E Jordan, Connor W Coley
Roughness of Molecular Property Landscapes and Its Impact on Modellability. Journal of chemical information and modeling 62 (19) (2022)
Zhengkai Tu, Thijs Stuyver, Connor W Coley
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery. Chemical science 14 (2) (2022)
Zhengkai Tu, Thijs Stuyver, Connor W Coley
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery. Chemical science 14 (2) (2022)
Katherine S Lim, Andrew G Reidenbach, Bruce K Hua, Jeremy W Mason, Christopher J Gerry, Paul A Clemons, Connor W Coley
Machine Learning on DNA-Encoded Library Count Data Using an Uncertainty-Aware Probabilistic Loss Function. Journal of chemical information and modeling 62 (10) (2022)
Itai Levin, Mengjie Liu, Christopher A Voigt, Connor W Coley
Merging enzymatic and synthetic chemistry with computational synthesis planning. Nature communications 13 (1) (2022)
Wenhao Gao, Priyanka Raghavan, Connor W Coley
Autonomous platforms for data-driven organic synthesis. Nature communications 13 (1) (2022)
David E Graff, Matteo Aldeghi, Joseph A Morrone, Kirk E Jordan, Edward O Pyzer-Knapp, Connor W Coley
Self-Focusing Virtual Screening with Active Design Space Pruning. Journal of chemical information and modeling 62 (16) (2022)
Ava P Soleimany, Alexander Amini, Samuel Goldman, Daniela Rus, Sangeeta N Bhatia, Connor W Coley
Evidential Deep Learning for Guided Molecular Property Prediction and Discovery. ACS central science 7 (8) (2021)
Steven M Kearnes, Michael R Maser, Michael Wleklinski, Anton Kast, Abigail G Doyle, Spencer D Dreher, Joel M Hawkins, Klavs F Jensen, Connor W Coley
The Open Reaction Database. Journal of the American Chemical Society 143 (45) (2021)
Esther Heid, Samuel Goldman, Karthik Sankaranarayanan, Connor W Coley, Christoph Flamm, William H Green
EHreact: Extended Hasse Diagrams for the Extraction and Scoring of Enzymatic Reaction Templates. Journal of chemical information and modeling 61 (10) (2021)
David E Graff, Eugene I Shakhnovich, Connor W Coley
Accelerating high-throughput virtual screening through molecular pool-based active learning. Chemical science 12 (22) (2021)
Jiang Guo, A Santiago Ibanez-Lopez, Hanyu Gao, Victor Quach, Connor W Coley, Klavs F Jensen, Regina Barzilay
Automated Chemical Reaction Extraction from Scientific Literature. Journal of chemical information and modeling (2021)
Hanyu Gao, Jean Pauphilet, Thomas J Struble, Connor W Coley, Klavs F Jensen
Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries. Journal of chemical information and modeling 61 (1) (2020)
Connor W Coley, Dale A Thomas, Justin A M Lummiss, Jonathan N Jaworski, Christopher P Breen, Victor Schultz, Travis Hart, Joshua S Fishman, Luke Rogers, Hanyu Gao, Robert W Hicklin, Pieter P Plehiers, Joshua Byington, John S Piotti, William H Green, A John Hart, Timothy F Jamison, Klavs F Jensen
A robotic platform for flow synthesis of organic compounds informed by AI planning. Science (New York, N.Y.) 365 (6453) (2020)
Xiaoxue Wang, Yujie Qian, Hanyu Gao, Connor W Coley, Yiming Mo, Regina Barzilay, Klavs F Jensen
Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning. Chemical science 11 (40) (2020)
Yanfei Guan, Connor W Coley, Haoyang Wu, Duminda Ranasinghe, Esther Heid, Thomas J Struble, Lagnajit Pattanaik, William H Green, Klavs F Jensen
Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors. Chemical science 12 (6) (2020)
Thomas J Struble, Juan C Alvarez, Scott P Brown, Milan Chytil, Justin S Cisar, Renee L DesJarlais, Ola Engkvist, Scott A Frank, Daniel R Greve, Daniel J Griffin, Xinjun Hou, Jeffrey W Johannes, Constantine Kreatsoulas, Brian Lahue, Miriam Mathea, Georg Mogk, Christos A Nicolaou, Andrew D Palmer, Daniel J Price, Richard I Robinson, Sebastian Salentin, Li Xing, Tommi S Jaakkola, William H Green, Regina Barzilay, Connor W Coley, Klavs F Jensen
Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis. Journal of medicinal chemistry 63 (16) (2020)
Yiming Mo, Yanfei Guan, Pritha Verma, Jiang Guo, Mike E Fortunato, Zhaohong Lu, Connor W Coley, Klavs F Jensen
Evaluating and clustering retrosynthesis pathways with learned strategy. Chemical science 12 (4) (2020)
Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W Coley
Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. Journal of chemical information and modeling 60 (8) (2020)
Wenhao Gao, Connor W Coley
The Synthesizability of Molecules Proposed by Generative Models. Journal of chemical information and modeling 60 (12) (2020)
Michael E Fortunato, Connor W Coley, Brian C Barnes, Klavs F Jensen
Data Augmentation and Pretraining for Template-Based Retrosynthetic Prediction in Computer-Aided Synthesis Planning. Journal of chemical information and modeling 60 (7) (2020)
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs F Jensen, Regina Barzilay
Correction to Analyzing Learned Molecular Representations for Property Prediction. Journal of chemical information and modeling 59 (12) (2019)
Connor W Coley, William H Green, Klavs F Jensen
RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application. Journal of chemical information and modeling 59 (6) (2019)
Kevin Yang, Kyle Swanson, Wengong Jin, Connor W Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs F Jensen, Regina Barzilay
Analyzing Learned Molecular Representations for Property Prediction. Journal of chemical information and modeling 59 (8) (2019)
Connor W Coley, Wengong Jin, Luke Rogers, Timothy F Jamison, Tommi S Jaakkola, William H Green, Regina Barzilay, Klavs F Jensen
A graph-convolutional neural network model for the prediction of chemical reactivity. Chemical science 10 (2) (2018)
Connor W Coley, William H Green, Klavs F Jensen
Machine Learning in Computer-Aided Synthesis Planning. Accounts of chemical research 51 (5) (2018)
Connor W Coley, Luke Rogers, William H Green, Klavs F Jensen
SCScore: Synthetic Complexity Learned from a Reaction Corpus. Journal of chemical information and modeling 58 (2) (2018)
Cheng Zhu, Keshav Raghuvanshi, Connor W Coley, Dawn Mason, Jody Rodgers, Mesfin E Janka, Milad Abolhasani
Flow chemistry-enabled studies of rhodium-catalyzed hydroformylation reactions. Chemical communications (Cambridge, England) 54 (62) (2018)
Stefano Lazzari, Pius M Theiler, Yi Shen, Connor W Coley, Andreas Stemmer, Klavs F Jensen
Ligand-Mediated Nanocrystal Growth. Langmuir : the ACS journal of surfaces and colloids 34 (10) (2018)
Connor W Coley, Regina Barzilay, William H Green, Tommi S Jaakkola, Klavs F Jensen
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction. Journal of chemical information and modeling 57 (8) (2017)
Connor W Coley, Milad Abolhasani, Hongkun Lin, Klavs F Jensen
Material-Efficient Microfluidic Platform for Exploratory Studies of Visible-Light Photoredox Catalysis. Angewandte Chemie (International ed. in English) 56 (33) (2017)

Connor W Coley (Connor Coley)

Publication Activity (10 Years)

Top Topics

Top Venues