Simon Axelrod
Impact in
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- Computational Drug Discovery Methods
- Materials Chemistry top 10%
- Machine Learning in Materials Science
- Photochromic and Fluorescence Chemistry
Papers in
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- Machine Learning in Materials Science 9
- Photochromic and Fluorescence Chemistry 3
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- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 2
- Co-authors
- Rafael Gómez‐Bombarelli (13 shared papers)Daniel Schwalbe‐Koda (3 shared papers)Eugene I. Shakhnovich (1 shared paper)Wujie Wang (3 shared papers)Somesh Mohapatra (3 shared papers)Eugene I. Shakhnovich (2 shared papers)Kevin P. Greenman (1 shared paper)James Damewood (1 shared paper)
- Journals
- The Journal of Chemical Physics (3 papers)Physical review. B. (2 papers)Nature Communications (1 paper)Nature Chemistry (1 paper)Science (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Simon Axelrod
17 papers receiving 699 citations
Simon Axelrod's Hit Papers
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 222
- Materials Chemistry 405
- Physical and Theoretical Chemistry 37
- Catalysis 24
- Organic Chemistry 97
Countries citing papers authored by Simon Axelrod
This map shows the geographic impact of Simon Axelrod'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 Simon Axelrod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Axelrod more than expected).
Fields of papers citing papers by Simon Axelrod
This network shows the impact of papers produced by Simon Axelrod. 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 Simon Axelrod. The network helps show where Simon Axelrod may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Axelrod, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GEOM, energy-annotated molecular conformations for property prediction and molecular generation Hit paper breakdown → | 2022 | 153 |
| 2 | 2022 | 84 | |
| 3 | 2021 | 74 | |
| 4 | 2023 | 66 | |
| 5 | 2021 | 66 | |
| 6 | 2022 | 64 | |
| 7 | 2020 | 46 | |
| 8 | 2023 | 38 | |
| 9 | 2021 | 36 | |
| 10 | 2024 | 28 | |
| 11 | 2023 | 18 | |
| 12 | 2017 | 17 | |
| 13 | 2018 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2023 | 3 | |
| 16 | 2017 | 2 | |
| 17 | 2022 | 1 | |
| 18 | Differentiable Molecular Simulations for Control and Learning | 2020 | 0 |
About Simon Axelrod
Simon Axelrod is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics, having authored 18 papers that have together received 710 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), Computational Drug Discovery Methods (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Photoreceptor and optogenetics research (4 papers), Protein Structure and Dynamics (4 papers), Photochromic and Fluorescence Chemistry (3 papers), Plasmonic and Surface Plasmon Research (2 papers) and Chemical Synthesis and Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (222 citations), Materials Chemistry (405 citations), Physical and Theoretical Chemistry (37 citations), Catalysis (24 citations) and Organic Chemistry (97 citations). Simon Axelrod has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Rafael Gómez‐Bombarelli, Daniel Schwalbe‐Koda, Eugene I. Shakhnovich, Wujie Wang, Somesh Mohapatra, Eugene I. Shakhnovich, Kevin P. Greenman, James Damewood, Nathan C. Frey and Vijay Gadepally. Their work appears in journals such as The Journal of Chemical Physics, Physical review. B., Nature Communications, Nature Chemistry and Science.
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.