Gavin Cloherty
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Virology top 2%
- HIV Research and Treatment
Papers in
- Epidemiology 108
- Hepatitis B Virus Studies 96
- Liver Disease Diagnosis and Treatment 58
- Hepatology 101
- Hepatitis C virus research 99
- Hepatitis Viruses Studies and Epidemiology 14
- Co-authors
- Mary C. Kuhns (26 shared papers)Jeffrey Gersch (13 shared papers)Vera Holzmayer (30 shared papers)Mary A. Rodgers (36 shared papers)Michael G. Berg (31 shared papers)Christoph Sarrazin (13 shared papers)Ka‐Cheung Luk (10 shared papers)Anne L. McNamara (9 shared papers)
- Journals
- Journal of Hepatology (19 papers)Journal of Clinical Virology (14 papers)Hepatology (10 papers)Scientific Reports (8 papers)Viruses (7 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Gavin Cloherty
164 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 85
- Hepatology 1.3k
- Virology 293
- Infectious Diseases 785
- Epidemiology 1.4k
- Modeling and Simulation 36
Countries citing papers authored by Gavin Cloherty
This map shows the geographic impact of Gavin Cloherty'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 Gavin Cloherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavin Cloherty more than expected).
Fields of papers citing papers by Gavin Cloherty
This network shows the impact of papers produced by Gavin Cloherty. 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 Gavin Cloherty. The network helps show where Gavin Cloherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Gavin Cloherty, 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 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2019 | 115 | |
| 3 | 2007 | 73 | |
| 4 | 2020 | 62 | |
| 5 | 2019 | 58 | |
| 6 | 2020 | 57 | |
| 7 | 2020 | 56 | |
| 8 | 2016 | 53 | |
| 9 | 2016 | 49 | |
| 10 | 2018 | 47 | |
| 11 | 2007 | 43 | |
| 12 | 2020 | 43 | |
| 13 | 2021 | 42 | |
| 14 | 2015 | 40 | |
| 15 | 2022 | 38 | |
| 16 | 2014 | 37 | |
| 17 | 2017 | 36 | |
| 18 | 2021 | 32 | |
| 19 | 2021 | 30 | |
| 20 | 2017 | 28 |
About Gavin Cloherty
Gavin Cloherty is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Molecular Biology, having authored 179 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (99 papers), Hepatitis B Virus Studies (96 papers), Liver Disease Diagnosis and Treatment (58 papers), SARS-CoV-2 and COVID-19 Research (24 papers), HIV Research and Treatment (23 papers), HIV/AIDS drug development and treatment (23 papers), Hepatitis Viruses Studies and Epidemiology (14 papers) and COVID-19 Clinical Research Studies (14 papers). The work is most often cited by research in Hepatology (1.3k citations), Virology (293 citations), Infectious Diseases (785 citations), Epidemiology (1.4k citations) and Modeling and Simulation (36 citations). Gavin Cloherty has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Mary C. Kuhns, Jeffrey Gersch, Vera Holzmayer, Mary A. Rodgers, Michael G. Berg, Christoph Sarrazin, Ka‐Cheung Luk, Anne L. McNamara, Mark Anderson and Heiner Wedemeyer. Their work appears in journals such as Journal of Hepatology, Journal of Clinical Virology, Hepatology, Scientific Reports and Viruses.
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.