Chase M. Webb
Impact in
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- Computational Drug Discovery Methods
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- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Pharmacological Receptor Mechanisms and Effects
- Chemical Synthesis and Analysis
Papers in
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- Microbial Natural Products and Biosynthesis 1
- Pharmacogenetics and Drug Metabolism 1
- Inflammatory mediators and NSAID effects 1
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- Computational Drug Discovery Methods 2
- Co-authors
- John J. Irwin (3 shared papers)Jiankun Lyu (2 shared papers)Brian K. Shoichet (3 shared papers)Andreas Luttens (1 shared paper)Elissa A. Fink (1 shared paper)Reed M. Stein (1 shared paper)Trent E. Balius (1 shared paper)Stefan Gahbauer (1 shared paper)
- Journals
- ACS Central Science (1 paper)Science (1 paper)Journal of Biosciences (1 paper)Nature (1 paper)Nature Protocols (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Chase M. Webb
6 papers receiving 636 citations
Chase M. Webb's Hit Papers
Peers
Comparison fields: 5 of 102
- Computational Theory and Mathematics 288
- Molecular Biology 414
- Cellular and Molecular Neuroscience 81
- Pharmacology 60
- Biological Psychiatry 8
Countries citing papers authored by Chase M. Webb
This map shows the geographic impact of Chase M. Webb'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 Chase M. Webb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chase M. Webb more than expected).
Fields of papers citing papers by Chase M. Webb
This network shows the impact of papers produced by Chase M. Webb. 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 Chase M. Webb. The network helps show where Chase M. Webb may publish in the future.
Co-authors
The 25 scholars most cited alongside Chase M. Webb, 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 | 381 |
| 2 | 2021 | 158 | |
| 3 | 2022 | 103 | |
| 4 | 2021 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2025 | 2 |
About Chase M. Webb
Chase M. Webb is a scholar working on Pharmacology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Molecular Medicine and Molecular Biology, having authored 6 papers that have together received 652 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Computational Drug Discovery Methods (2 papers), Neuropeptides and Animal Physiology (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Microbial Natural Products and Biosynthesis (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Click Chemistry and Applications (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Computational Theory and Mathematics (288 citations), Molecular Biology (414 citations), Cellular and Molecular Neuroscience (81 citations), Pharmacology (60 citations) and Biological Psychiatry (8 citations). Chase M. Webb has collaborated with scholars based in United States, China and Germany. Frequent co-authors include John J. Irwin, Jiankun Lyu, Brian K. Shoichet, Andreas Luttens, Elissa A. Fink, Reed M. Stein, Trent E. Balius, Stefan Gahbauer, Jens Carlsson and Brian J. Bender. Their work appears in journals such as ACS Central Science, Science, Journal of Biosciences, Nature and Nature Protocols.
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.