John J. Won
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research 1
- COVID-19 Clinical Research Studies 1
- Neurology top 5%
- Modeling and Simulation top 5%
- Pharmacology top 10%
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- Animal Virus Infections Studies 2
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- Virus-based gene therapy research 1
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- interferon and immune responses 1
- Co-authors
- Amy SimsTomáš CihlářRalph S. BaricAriane J. BrownTimothy P. SheahanMark R. DenisonJoy Y. FengDarius Babusis
- Partner nations
- United States
In The Last Decade
John J. Won
2 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Infectious Diseases 1.4k
- Neurology 364
- Modeling and Simulation 57
- Computational Theory and Mathematics 179
- Pharmacology 62
Countries citing papers authored by John J. Won
This map shows the geographic impact of John J. Won'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 John J. Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Won more than expected).
Fields of papers citing papers by John J. Won
This network shows the impact of papers produced by John J. Won. 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 John J. Won. The network helps show where John J. Won may publish in the future.
Co-authorship network
The 19 scholars most cited alongside John J. Won, 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 | Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoVbreakdown → | 2020 | 1241 |
| 2 | Broad spectrum antiviral remdesivir inhibits human endemic and zoonotic deltacoronaviruses with a highly divergent RNA dependent RNA polymerasebreakdown → | 2019 | 372 |
About John J. Won
John J. Won is a scholar working on Animal Science and Zoology, Infectious Diseases, Immunology, Genetics and Organic Chemistry, having authored 2 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Virus-based gene therapy research (1 paper), interferon and immune responses (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (1.4k citations), Neurology (364 citations), Modeling and Simulation (57 citations), Computational Theory and Mathematics (179 citations) and Pharmacology (62 citations). John J. Won has collaborated with scholars based in United States. Frequent co-authors include Amy Sims, Tomáš Cihlář, Ralph S. Baric, Ariane J. Brown, Timothy P. Sheahan, Mark R. Denison, Joy Y. Feng, Darius Babusis, Michael O. Clarke and Laura Bauer. Their work appears in journals such as Nature Communications and Antiviral Research.
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.