Stephen J. Capuzzi
Impact in
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- Computational Drug Discovery Methods
- Small Animals top 5%
- Animal testing and alternatives
Papers in
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- Protein Degradation and Inhibitors 3
- Metabolomics and Mass Spectrometry Studies 2
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- Computational Drug Discovery Methods 10
- Co-authors
- Alexander Tropsha (21 shared papers)Eugene Muratov (17 shared papers)Vinícius M. Alves (9 shared papers)Regina Politi (2 shared papers)Olexandr Isayev (2 shared papers)Carolina Horta Andrade (4 shared papers)Rodolpho C. Braga (5 shared papers)Thomas Thornton (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (5 papers)Journal of Medicinal Chemistry (4 papers)Green Chemistry (2 papers)Drug Discovery Today (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesBrazilUkraine
In The Last Decade
Stephen J. Capuzzi
24 papers receiving 915 citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 448
- Small Animals 58
- Chemical Health and Safety 4
- Molecular Biology 416
- Dermatology 48
Countries citing papers authored by Stephen J. Capuzzi
This map shows the geographic impact of Stephen J. Capuzzi'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 Stephen J. Capuzzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Capuzzi more than expected).
Fields of papers citing papers by Stephen J. Capuzzi
This network shows the impact of papers produced by Stephen J. Capuzzi. 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 Stephen J. Capuzzi. The network helps show where Stephen J. Capuzzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen J. Capuzzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 196 | |
| 2 | 2016 | 95 | |
| 3 | 2022 | 65 | |
| 4 | 2016 | 60 | |
| 5 | 2016 | 46 | |
| 6 | 2019 | 45 | |
| 7 | 2017 | 42 | |
| 8 | 2018 | 42 | |
| 9 | 2018 | 36 | |
| 10 | 2020 | 32 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2018 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2021 | 26 | |
| 16 | 2015 | 26 | |
| 17 | 2012 | 21 | |
| 18 | 2020 | 17 | |
| 19 | 2017 | 12 | |
| 20 | 2017 | 11 |
About Stephen J. Capuzzi
Stephen J. Capuzzi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Small Animals and Genetics, having authored 27 papers that have together received 921 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Degradation and Inhibitors (3 papers), Machine Learning in Materials Science (3 papers), Animal testing and alternatives (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Chemistry and Chemical Engineering (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Contact Dermatitis and Allergies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (448 citations), Small Animals (58 citations), Chemical Health and Safety (4 citations), Molecular Biology (416 citations) and Dermatology (48 citations). Stephen J. Capuzzi has collaborated with scholars based in United States, Brazil and Ukraine. Frequent co-authors include Alexander Tropsha, Eugene Muratov, Vinícius M. Alves, Regina Politi, Olexandr Isayev, Carolina Horta Andrade, Rodolpho C. Braga, Thomas Thornton, Denis Fourches and Alexey Zakharov. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Green Chemistry, Drug Discovery Today and Scientific Reports.
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.