Jun Wang
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- SARS-CoV-2 and COVID-19 Research 44
- Epidemiology 63
- Influenza Virus Research Studies 59
- Co-authors
- Chunlong Ma (56 shared papers)Yanmei Hu (48 shared papers)William F. DeGrado (31 shared papers)Mei Hong (9 shared papers)Yu Chen (13 shared papers)Michael Thomas Marty (9 shared papers)Julia Alma Townsend (8 shared papers)Giulio Maria Pasinetti (17 shared papers)
- Journals
- Journal of Medicinal Chemistry (18 papers)Journal of the American Chemical Society (13 papers)Nature Communications (8 papers)ACS Infectious Diseases (7 papers)Antiviral Research (6 papers)
- Partner nations
- United StatesChinaGreece
In The Last Decade
Jun Wang
241 papers receiving 11.4k citations
Jun Wang's Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 3k
- Geriatrics and Gerontology 380
- Computational Theory and Mathematics 1.3k
- Epidemiology 1.9k
- Microbiology 282
Countries citing papers authored by Jun Wang
This map shows the geographic impact of Jun Wang'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 Jun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wang more than expected).
Fields of papers citing papers by Jun Wang
This network shows the impact of papers produced by Jun Wang. 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 Jun Wang. The network helps show where Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wang, 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 248 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 711 | |
| 2 | Structure of the amantadine binding site of influenza M2 proton channels in lipid bilayers Hit paper breakdown → | 2010 | 559 |
| 3 | 2006 | 555 | |
| 4 | 2005 | 511 | |
| 5 | 2020 | 330 | |
| 6 | 2016 | 299 | |
| 7 | Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir Hit paper breakdown → | 2023 | 241 |
| 8 | 2021 | 237 | |
| 9 | 2020 | 221 | |
| 10 | 2007 | 216 | |
| 11 | 2014 | 205 | |
| 12 | 2013 | 200 | |
| 13 | 2012 | 189 | |
| 14 | 2021 | 168 | |
| 15 | 2021 | 154 | |
| 16 | 2021 | 129 | |
| 17 | 2021 | 126 | |
| 18 | 2011 | 125 | |
| 19 | 2022 | 119 | |
| 20 | 2012 | 117 |
About Jun Wang
Jun Wang is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Microbiology and Geriatrics and Gerontology, having authored 248 papers that have together received 11.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (59 papers), SARS-CoV-2 and COVID-19 Research (44 papers), Ion channel regulation and function (17 papers), Protein Structure and Dynamics (15 papers), Viral Infections and Immunology Research (13 papers), Antimicrobial Peptides and Activities (12 papers), Sirtuins and Resveratrol in Medicine (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Infectious Diseases (3k citations), Geriatrics and Gerontology (380 citations), Computational Theory and Mathematics (1.3k citations), Epidemiology (1.9k citations) and Microbiology (282 citations). Jun Wang has collaborated with scholars based in United States, China and Greece. Frequent co-authors include Chunlong Ma, Yanmei Hu, William F. DeGrado, Mei Hong, Yu Chen, Michael Thomas Marty, Julia Alma Townsend, Giulio Maria Pasinetti, Michael Dominic Sacco and Xiujun Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of the American Chemical Society, Nature Communications, ACS Infectious Diseases 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.