James Witek
Impact in
- Virology top 2%
- HIV Research and Treatment
- Hepatology top 1%
- Hepatitis C virus research
Papers in
- Epidemiology 31
- Liver Disease Diagnosis and Treatment 14
- Hepatitis B Virus Studies 13
- Respiratory viral infections research 7
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- HIV/AIDS drug development and treatment 30
- HIV/AIDS Research and Interventions 8
- Co-authors
- Peter D. Katsikis (3 shared papers)John D. Altman (3 shared papers)Yvonne M. Mueller (3 shared papers)Oliver Lenz (8 shared papers)Paul Bojczuk (2 shared papers)Bart Fevery (6 shared papers)Monika Peeters (6 shared papers)Stephen C. De Rosa (1 shared paper)
- Journals
- Journal of Hepatology (5 papers)Antiviral Therapy (4 papers)The Journal of Clinical Pharmacology (4 papers)Journal of the International AIDS Society (3 papers)Hepatology (3 papers)
- Partner nations
- United StatesBelgiumGermany
In The Last Decade
James Witek
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Virology 377
- Hepatology 606
- Infectious Diseases 495
- Epidemiology 764
- Immunology 259
Countries citing papers authored by James Witek
This map shows the geographic impact of James Witek'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 James Witek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Witek more than expected).
Fields of papers citing papers by James Witek
This network shows the impact of papers produced by James Witek. 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 James Witek. The network helps show where James Witek may publish in the future.
Co-authors
The 25 scholars most cited alongside James Witek, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 143 | |
| 2 | 2015 | 142 | |
| 3 | 2001 | 137 | |
| 4 | 2003 | 117 | |
| 5 | 2010 | 85 | |
| 6 | 2015 | 82 | |
| 7 | 2004 | 45 | |
| 8 | 2013 | 38 | |
| 9 | 2021 | 37 | |
| 10 | 2010 | 34 | |
| 11 | 2021 | 28 | |
| 12 | 2011 | 28 | |
| 13 | 2013 | 22 | |
| 14 | 2013 | 22 | |
| 15 | 2012 | 22 | |
| 16 | 2014 | 19 | |
| 17 | 2011 | 16 | |
| 18 | 2010 | 16 | |
| 19 | 2012 | 14 | |
| 20 | 2023 | 14 |
About James Witek
James Witek is a scholar working on Epidemiology, Infectious Diseases, Hepatology, Virology and Rheumatology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (30 papers), HIV/AIDS drug development and treatment (30 papers), HIV Research and Treatment (16 papers), Liver Disease Diagnosis and Treatment (14 papers), Hepatitis B Virus Studies (13 papers), HIV/AIDS Research and Interventions (8 papers), Respiratory viral infections research (7 papers) and Systemic Lupus Erythematosus Research (6 papers). The work is most often cited by research in Virology (377 citations), Hepatology (606 citations), Infectious Diseases (495 citations), Epidemiology (764 citations) and Immunology (259 citations). James Witek has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include Peter D. Katsikis, John D. Altman, Yvonne M. Mueller, Oliver Lenz, Paul Bojczuk, Bart Fevery, Monika Peeters, Stephen C. De Rosa, Mario Roederer and Jane Scott. Their work appears in journals such as Journal of Hepatology, Antiviral Therapy, The Journal of Clinical Pharmacology, Journal of the International AIDS Society and Hepatology.
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.