Sean Bennett
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
- Epidemiology 13
- Influenza Virus Research Studies 5
- Hepatitis B Virus Studies 4
-
- Tuberculosis Research and Epidemiology 5
- Co-authors
- Robert S. Janssen (4 shared papers)William L. Heyward (4 shared papers)Brian L. Kotzin (3 shared papers)Jacob T. Martin (3 shared papers)Hamid Namini (3 shared papers)Lee S. Newman (2 shared papers)Andrew P. Fontenot (2 shared papers)Stephen J. Tapscott (8 shared papers)
- Journals
- Vaccine (7 papers)Human Molecular Genetics (4 papers)American Journal of Tropical Medicine and Hygiene (3 papers)Open Forum Infectious Diseases (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Sean Bennett
38 papers receiving 628 citations
Peers
Comparison fields: 5 of 68
- Hepatology 68
- Infectious Diseases 158
- Immunology 167
- Epidemiology 246
- Endocrinology 28
Countries citing papers authored by Sean Bennett
This map shows the geographic impact of Sean Bennett'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 Sean Bennett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Bennett more than expected).
Fields of papers citing papers by Sean Bennett
This network shows the impact of papers produced by Sean Bennett. 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 Sean Bennett. The network helps show where Sean Bennett may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Bennett, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 91 | |
| 2 | 2013 | 61 | |
| 3 | 2015 | 56 | |
| 4 | 2003 | 43 | |
| 5 | 2017 | 41 | |
| 6 | 2003 | 41 | |
| 7 | 2019 | 37 | |
| 8 | 2013 | 35 | |
| 9 | 2019 | 28 | |
| 10 | 2023 | 22 | |
| 11 | 2011 | 19 | |
| 12 | 2003 | 17 | |
| 13 | 1999 | 13 | |
| 14 | 2023 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2024 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2021 | 9 |
About Sean Bennett
Sean Bennett is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Immunology and Oncology, having authored 39 papers that have together received 652 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Influenza Virus Research Studies (5 papers), Tuberculosis Research and Epidemiology (5 papers), CRISPR and Genetic Engineering (5 papers), Vibrio bacteria research studies (4 papers), Hepatitis B Virus Studies (4 papers), RNA Research and Splicing (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Hepatology (68 citations), Infectious Diseases (158 citations), Immunology (167 citations), Epidemiology (246 citations) and Endocrinology (28 citations). Sean Bennett has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Robert S. Janssen, William L. Heyward, Brian L. Kotzin, Jacob T. Martin, Hamid Namini, Lee S. Newman, Andrew P. Fontenot, Stephen J. Tapscott, Matthew Davis and Silvère M. van der Maarel. Their work appears in journals such as Vaccine, Human Molecular Genetics, American Journal of Tropical Medicine and Hygiene, Open Forum Infectious Diseases and Cell Reports.
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.