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
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
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- Computational Drug Discovery Methods 10
- Co-authors
- Alexander Tropsha (21 shared papers)Eugene Muratov (18 shared papers)Vinícius M. Alves (10 shared papers)Carolina Horta Andrade (4 shared papers)Regina Politi (2 shared papers)Olexandr Isayev (2 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)Pharmaceuticals (1 paper)
- Partner nations
- United StatesBrazilUkraine
In The Last Decade
Stephen J. Capuzzi
25 papers receiving 954 citations
Peers
Comparison fields: 5 of 118
- Computational Theory and Mathematics 474
- Small Animals 64
- Molecular Biology 438
- Dermatology 49
- Chemical Health and Safety 4
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 204 | |
| 2 | 2016 | 101 | |
| 3 | 2022 | 65 | |
| 4 | 2016 | 64 | |
| 5 | 2016 | 48 | |
| 6 | 2018 | 46 | |
| 7 | 2017 | 45 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 37 | |
| 10 | 2018 | 35 | |
| 11 | 2020 | 33 | |
| 12 | 2017 | 30 | |
| 13 | 2018 | 30 | |
| 14 | 2021 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2015 | 26 | |
| 17 | 2012 | 24 | |
| 18 | 2020 | 17 | |
| 19 | 2017 | 13 | |
| 20 | 2017 | 11 |
About Stephen J. Capuzzi
Stephen J. Capuzzi is a scholar working on Molecular Biology, Computational Theory and Mathematics, Genetics, Organic Chemistry and Small Animals, having authored 28 papers that have together received 965 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Degradation and Inhibitors (3 papers), Genomics and Rare Diseases (3 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Materials Science (3 papers), Animal testing and alternatives (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Computational Theory and Mathematics (474 citations), Small Animals (64 citations), Molecular Biology (438 citations), Dermatology (49 citations) and Chemical Health and Safety (4 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, Carolina Horta Andrade, Regina Politi, Olexandr Isayev, 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 Pharmaceuticals.
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.