Reed M. Stein
Impact in
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- Computational Drug Discovery Methods
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
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- Protein Structure and Dynamics 3
- Receptor Mechanisms and Signaling 2
- Gene Regulatory Network Analysis 1
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- Computational Drug Discovery Methods 6
- Co-authors
- Brian K. Shoichet (5 shared papers)John J. Irwin (4 shared papers)Trent E. Balius (4 shared papers)Jiankun Lyu (2 shared papers)Brian J. Bender (1 shared paper)Jens Carlsson (1 shared paper)Elissa A. Fink (1 shared paper)Stefan Gahbauer (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Proceedings of the National Academy of Sciences (1 paper)The FASEB Journal (1 paper)Cancer Research (1 paper)Nature (1 paper)
- Partner nations
- United StatesUkraineSweden
In The Last Decade
Reed M. Stein
7 papers receiving 691 citations
Reed M. Stein's Hit Papers
Peers
Comparison fields: 5 of 108
- Computational Theory and Mathematics 352
- Endocrine and Autonomic Systems 57
- Molecular Biology 433
- Biological Psychiatry 9
- Pharmacology 60
Countries citing papers authored by Reed M. Stein
This map shows the geographic impact of Reed M. Stein'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 Reed M. Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reed M. Stein more than expected).
Fields of papers citing papers by Reed M. Stein
This network shows the impact of papers produced by Reed M. Stein. 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 Reed M. Stein. The network helps show where Reed M. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Reed M. Stein, 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 | A practical guide to large-scale docking Hit paper breakdown → | 2021 | 336 |
| 2 | 2020 | 221 | |
| 3 | 2021 | 76 | |
| 4 | 2017 | 64 | |
| 5 | Understanding virtual solvent through large-scale ligand discovery | 2020 | 2 |
| 6 | 2025 | 2 | |
| 7 | 2020 | 1 | |
| 8 | 2023 | 0 |
About Reed M. Stein
Reed M. Stein is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Endocrine and Autonomic Systems and Materials Chemistry, having authored 8 papers that have together received 702 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (3 papers), Click Chemistry and Applications (2 papers), Circadian rhythm and melatonin (2 papers), Receptor Mechanisms and Signaling (2 papers), Gene Regulatory Network Analysis (1 paper), Enzyme Structure and Function (1 paper) and Free Radicals and Antioxidants (1 paper). The work is most often cited by research in Computational Theory and Mathematics (352 citations), Endocrine and Autonomic Systems (57 citations), Molecular Biology (433 citations), Biological Psychiatry (9 citations) and Pharmacology (60 citations). Reed M. Stein has collaborated with scholars based in United States, Ukraine and Sweden. Frequent co-authors include Brian K. Shoichet, John J. Irwin, Trent E. Balius, Jiankun Lyu, Brian J. Bender, Jens Carlsson, Elissa A. Fink, Stefan Gahbauer, Chase M. Webb and Andreas Luttens. Their work appears in journals such as Journal of Chemical Information and Modeling, Proceedings of the National Academy of Sciences, The FASEB Journal, Cancer Research and Nature.
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.