Connor W. Coley

16.7k total citations · 6 hit papers
130 papers, 8.5k citations indexed

About

Connor W. Coley is a scholar working on Materials Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Connor W. Coley has authored 130 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Materials Chemistry, 75 papers in Computational Theory and Mathematics and 41 papers in Molecular Biology. Recurrent topics in Connor W. Coley's work include Machine Learning in Materials Science (77 papers), Computational Drug Discovery Methods (73 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (29 papers). Connor W. Coley is often cited by papers focused on Machine Learning in Materials Science (77 papers), Computational Drug Discovery Methods (73 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (29 papers). Connor W. Coley collaborates with scholars based in United States, China and Switzerland. Connor W. Coley's co-authors include Klavs F. Jensen, William H. Green, Regina Barzilay, Tommi Jaakkola, Luke Rogers, Wengong Jin, Wenhao Gao, Hanyu Gao, Timothy F. Jamison and Milad Abolhasani and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Connor W. Coley

123 papers receiving 8.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analyzing Learned Molecular Representations for Property Prediction

2019 1.1k citations Connor W. Coley, Klavs F. Jensen et al. Journal of Chemical Information and Modeling profile →
A robotic platform for flow synthesis of organic compounds informed by AI planning

2019 730 citations Connor W. Coley, Luke Rogers et al. profile →
Prediction of Organic Reaction Outcomes Using Machine Learning

2017 510 citations Connor W. Coley, Regina Barzilay et al. ACS Central Science profile →
Machine Learning in Computer-Aided Synthesis Planning

2018 489 citations Connor W. Coley, William H. Green et al. profile →
A graph-convolutional neural network model for the prediction of chemical reactivity

2018 460 citations Connor W. Coley, Luke Rogers et al. Chemical Science profile →
Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

2017 337 citations Connor W. Coley, Regina Barzilay et al. Journal of Chemical Information and Modeling profile →

Peers

Countries citing papers authored by Connor W. Coley

Since Specialization

Citations

This map shows the geographic impact of Connor W. Coley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Connor W. Coley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor W. Coley more than expected).

Fields of papers citing papers by Connor W. Coley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connor W. Coley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Connor W. Coley. The network helps show where Connor W. Coley may publish in the future.

Co-authorship network of co-authors of Connor W. Coley

This figure shows the co-authorship network connecting the top 25 collaborators of Connor W. Coley. A scholar is included among the top collaborators of Connor W. Coley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Connor W. Coley. Connor W. Coley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A geometric foundation model for enzyme retrieval with evolutionary insights 2026 ·Nature Catalysis ·(unknown), (unknown), (unknown), Tao Zeng, (unknown), (unknown), Rongjie Wu, (unknown), Connor W. Coley, Shuangjia Zheng	0
2	Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset 2024 ·Angewandte Chemie International Edition ·Joonyoung F. Joung, (unknown), (unknown), Zhengkai Tu, John Bradshaw, Connor W. Coley	5
3	Rapid prediction of conformationally-dependent DFT-level descriptors using graph neural networks for carboxylic acids and alkyl amines 2024 ·Digital Discovery ·(unknown), Melissa A. Hardy, (unknown), (unknown), Connor W. Coley, Robert S. Paton, Matthew S. Sigman	7
4	A physics-inspired approach to the understanding of molecular representations and models 2024 ·Molecular Systems Design & Engineering ·(unknown), David Graff, Kirk E. Jordan, Connor W. Coley, Edward O. Pyzer‐Knapp	3
5	OpenChemIE: An Information Extraction Toolkit for Chemistry Literature 2024 ·Journal of Chemical Information and Modeling ·(unknown), Yujie Qian, Alex Wang, (unknown), Connor W. Coley, Regina Barzilay	11
6	Reproducing Reaction Mechanisms with Machine‐Learning Models Trained on a Large‐Scale Mechanistic Dataset 2024 ·Angewandte Chemie ·Joonyoung F. Joung, (unknown), (unknown), Zhengkai Tu, John Bradshaw, Connor W. Coley	1
7	QMugs 1.1: Quantum mechanical properties of organic compounds commonly encountered in reactivity datasets 2023 ·Chemical Data Collections ·(unknown), Clemens Isert, Thijs Stuyver, Gisbert Schneider, Connor W. Coley	11
8	Neural scaling of deep chemical models 2023 ·Nature Machine Intelligence ·Nathan C. Frey, Ryan Soklaski, Simon Axelrod, Siddharth Samsi, Rafael Gómez‐Bombarelli, Connor W. Coley, Vijay Gadepally	54
9	Annotating metabolite mass spectra with domain-inspired chemical formula transformers 2023 ·Nature Machine Intelligence ·Samuel Goldman, Jeremy Wohlwend, Martin Stražar, (unknown), Ramnik J. Xavier, Connor W. Coley	39
10	Computer‐aided evaluation and exploration of chemical spaces constrained by reaction pathways 2023 ·AIChE Journal ·(unknown), (unknown), Kian L. Tan, Connor W. Coley	9
11	RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing 2023 ·Journal of Chemical Information and Modeling ·Yujie Qian, Jiang Guo, Zhengkai Tu, Connor W. Coley, Regina Barzilay	15
12	Opportunities for Machine Learning and Artificial Intelligence to Advance Synthetic Drug Substance Process Development 2023 ·Organic Process Research & Development ·Daniel J. Griffin, Connor W. Coley, Scott A. Frank, Joel M. Hawkins, Klavs F. Jensen	21
13	Evaluating and clustering retrosynthesis pathways with learned strategy 2020 ·Chemical Science ·Yiming Mo, Yanfei Guan, Pritha Verma, Jiang Guo, (unknown), Zhaohong Lu, Connor W. Coley, Klavs F. Jensen	45
14	Data Augmentation and Pretraining for Template-Based Retrosynthetic Prediction in Computer-Aided Synthesis Planning 2020 ·Journal of Chemical Information and Modeling ·(unknown), Connor W. Coley, Brian C. Barnes, Klavs F. Jensen	48
15	RDChiral: An RDKit Wrapper for Handling Stereochemistry in Retrosynthetic Template Extraction and Application 2019 ·Journal of Chemical Information and Modeling ·Connor W. Coley, William H. Green, Klavs F. Jensen	138
16	Autonomous Discovery in the Chemical Sciences Part II: Outlook 2019 ·Angewandte Chemie International Edition ·Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen	179
17	SCScore: Synthetic Complexity Learned from a Reaction Corpus 2018 ·Journal of Chemical Information and Modeling ·Connor W. Coley, Luke Rogers, William H. Green, Klavs F. Jensen	231
18	Using Machine Learning To Predict Suitable Conditions for Organic Reactions 2018 ·ACS Central Science ·Hanyu Gao, Thomas J. Struble, Connor W. Coley, Yuran Wang, William H. Green, Klavs F. Jensen	291
19	Flow chemistry-enabled studies of rhodium-catalyzed hydroformylation reactions 2018 ·Chemical Communications ·Cheng Zhu, Keshav Raghuvanshi, Connor W. Coley, (unknown), Jody Rodgers, M. Janka, Milad Abolhasani	34
20	In‐Situ Microfluidic Study of Biphasic Nanocrystal Ligand‐Exchange Reactions Using an Oscillatory Flow Reactor 2017 ·Angewandte Chemie International Edition ·Yi Shen, Milad Abolhasani, Yue Chen, Lisi Xie, Yang Lu, Connor W. Coley, Moungi G. Bawendi, Klavs F. Jensen	35

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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