John E. Tavis
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 0.5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Herpesvirus Infections and Treatments
Papers in
- Epidemiology 83
- Hepatitis B Virus Studies 73
- Herpesvirus Infections and Treatments 13
- Liver Disease Diagnosis and Treatment 12
- Hepatology 73
- Hepatitis C virus research 71
- 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)Volker Bruss (1 shared paper)Silvia Perri (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
112 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 89
- Hepatology 2.0k
- Epidemiology 2.4k
- Virology 327
- Infectious Diseases 931
- Animal Science and Zoology 165
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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 195 | |
| 2 | 2012 | 180 | |
| 3 | 1996 | 161 | |
| 4 | 1994 | 159 | |
| 5 | 2005 | 143 | |
| 6 | 2009 | 107 | |
| 7 | 2007 | 100 | |
| 8 | 2007 | 98 | |
| 9 | 2013 | 95 | |
| 10 | 1996 | 91 | |
| 11 | 1996 | 91 | |
| 12 | 2013 | 80 | |
| 13 | 1993 | 77 | |
| 14 | 1998 | 76 | |
| 15 | 2014 | 75 | |
| 16 | 1989 | 67 | |
| 17 | 2008 | 65 | |
| 18 | 2014 | 62 | |
| 19 | 2011 | 59 | |
| 20 | 2009 | 55 |
About John E. Tavis
John E. Tavis is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Molecular Biology, having authored 114 papers that have together received 3.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (73 papers), Hepatitis C virus research (71 papers), HIV/AIDS drug development and treatment (19 papers), Viral gastroenteritis research and epidemiology (17 papers), Herpesvirus Infections and Treatments (13 papers), Liver Disease Diagnosis and Treatment (12 papers), HIV Research and Treatment (9 papers) and Viral Infections and Outbreaks Research (7 papers). The work is most often cited by research in Hepatology (2.0k citations), Epidemiology (2.4k citations), Virology (327 citations), Infectious Diseases (931 citations) and Animal Science and Zoology (165 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, Volker Bruss, Silvia Perri, 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.