J. J. Patten
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Viral Infections and Outbreaks Research 9
- Viral Infections and Vectors 6
- SARS-CoV-2 and COVID-19 Research 2
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- Hepatitis B Virus Studies 4
- Virology and Viral Diseases 2
- Respiratory viral infections research 2
- Co-authors
- Robert A. Davey (14 shared papers)Onur Varol (1 shared paper)Albert-László Barabási (1 shared paper)Asher Ameli (1 shared paper)Susan Dina Ghiassian (1 shared paper)Deisy Morselli Gysi (1 shared paper)Joseph Loscalzo (1 shared paper)Xiao Gan (1 shared paper)
- Journals
- Antiviral Research (4 papers)Viruses (2 papers)Nature Communications (1 paper)Journal of Medicinal Chemistry (1 paper)iScience (1 paper)
- Partner nations
- United StatesCanadaTürkiye
In The Last Decade
J. J. Patten
15 papers receiving 533 citations
J. J. Patten's Hit Papers
Peers
Comparison fields: 5 of 96
- Computational Theory and Mathematics 163
- Health Informatics 10
- Infectious Diseases 116
- Immunology 90
- Oncology 92
Countries citing papers authored by J. J. Patten
This map shows the geographic impact of J. J. Patten'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 J. J. Patten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. Patten more than expected).
Fields of papers citing papers by J. J. Patten
This network shows the impact of papers produced by J. J. Patten. 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 J. J. Patten. The network helps show where J. J. Patten may publish in the future.
Co-authors
The 25 scholars most cited alongside J. J. Patten, 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 | Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19 Hit paper breakdown → | 2020 | 339 |
| 2 | 2021 | 115 | |
| 3 | 2022 | 19 | |
| 4 | 2024 | 14 | |
| 5 | 2022 | 13 | |
| 6 | 2024 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2025 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 |
About J. J. Patten
J. J. Patten is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and General Health Professions, having authored 15 papers that have together received 543 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (9 papers), Viral Infections and Vectors (6 papers), Hepatitis B Virus Studies (4 papers), Virology and Viral Diseases (2 papers), Respiratory viral infections research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Ubiquitin and proteasome pathways (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Computational Theory and Mathematics (163 citations), Health Informatics (10 citations), Infectious Diseases (116 citations), Immunology (90 citations) and Oncology (92 citations). J. J. Patten has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Robert A. Davey, Onur Varol, Albert-László Barabási, Asher Ameli, Susan Dina Ghiassian, Deisy Morselli Gysi, Joseph Loscalzo, Xiao Gan, Marinka Žitnik and Ítalo Faria do Valle. Their work appears in journals such as Antiviral Research, Viruses, Nature Communications, Journal of Medicinal Chemistry and iScience.
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.