John E. Tavis
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Virology top 2%
- HIV Research and Treatment
Papers in
- Epidemiology 90
- Hepatitis B Virus Studies 80
- Herpesvirus Infections and Treatments 13
- Liver Disease Diagnosis and Treatment 13
- Hepatology 74
- Hepatitis C virus research 72
- Co-authors
- Feng Cao (18 shared papers)Don Ganem (4 shared papers)D Ganem (2 shared papers)Ermei Yao (10 shared papers)Elena Lomonosova (12 shared papers)Maureen J. Donlin (20 shared papers)Silvia Perri (1 shared paper)Volker Bruss (1 shared paper)
- Journals
- Journal of Virology (17 papers)Antiviral Research (14 papers)Virology (11 papers)PLoS ONE (9 papers)Antimicrobial Agents and Chemotherapy (7 papers)
- Partner nations
- United StatesSpainChina
In The Last Decade
John E. Tavis
111 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 93
- Hepatology 2.0k
- Virology 346
- Epidemiology 2.4k
- Infectious Diseases 962
- Animal Science and Zoology 171
Countries citing papers authored by John E. Tavis
This map shows the geographic impact of John E. Tavis'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 E. Tavis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Tavis more than expected).
Fields of papers citing papers by John E. Tavis
This network shows the impact of papers produced by John E. Tavis. 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 E. Tavis. The network helps show where John E. Tavis may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Tavis, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 181 | |
| 2 | 2012 | 167 | |
| 3 | 1994 | 156 | |
| 4 | 1996 | 152 | |
| 5 | 2005 | 138 | |
| 6 | 2009 | 104 | |
| 7 | 2007 | 97 | |
| 8 | 2007 | 96 | |
| 9 | 2013 | 92 | |
| 10 | 1996 | 88 | |
| 11 | 1996 | 83 | |
| 12 | 2013 | 78 | |
| 13 | 1993 | 76 | |
| 14 | 1998 | 74 | |
| 15 | 2014 | 71 | |
| 16 | 1989 | 65 | |
| 17 | 2008 | 63 | |
| 18 | 2014 | 60 | |
| 19 | 2011 | 55 | |
| 20 | 2009 | 54 |
About John E. Tavis
John E. Tavis is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Molecular Biology, having authored 113 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (80 papers), Hepatitis C virus research (72 papers), HIV/AIDS drug development and treatment (22 papers), Viral gastroenteritis research and epidemiology (16 papers), Herpesvirus Infections and Treatments (13 papers), Liver Disease Diagnosis and Treatment (13 papers), HIV Research and Treatment (10 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Hepatology (2.0k citations), Virology (346 citations), Epidemiology (2.4k citations), Infectious Diseases (962 citations) and Animal Science and Zoology (171 citations). John E. Tavis has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Feng Cao, Don Ganem, D Ganem, Ermei Yao, Elena Lomonosova, Maureen J. Donlin, Silvia Perri, Volker Bruss, Rajeev Aurora and Xiaohong Cheng. Their work appears in journals such as Journal of Virology, Antiviral Research, Virology, PLoS ONE and Antimicrobial Agents and Chemotherapy.
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.