Stephen Cherne
Impact in
- Virology top 5%
- HIV Research and Treatment
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
Papers in
- Epidemiology 15
- Cervical Cancer and HPV Research 15
- Hepatitis B Virus Studies 3
- Surgery 8
- Genital Health and Disease 8
- Co-authors
- Rachel L. Winer (10 shared papers)Qinghua Feng (8 shared papers)Laura A. Koutsky (4 shared papers)Nancy B. Kiviat (5 shared papers)Long Fu Xi (3 shared papers)Sandra O’Reilly (2 shared papers)James P. Hughes (2 shared papers)Stephen E. Hawes (6 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (3 papers)Journal of Clinical Microbiology (2 papers)The Journal of Infectious Diseases (2 papers)Clinical Infectious Diseases (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesSenegalFrance
In The Last Decade
Stephen Cherne
17 papers receiving 455 citations
Peers
Comparison fields: 5 of 49
- Virology 108
- Epidemiology 322
- Microbiology 55
- Infectious Diseases 113
- Otorhinolaryngology 22
Countries citing papers authored by Stephen Cherne
This map shows the geographic impact of Stephen Cherne'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 Stephen Cherne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Cherne more than expected).
Fields of papers citing papers by Stephen Cherne
This network shows the impact of papers produced by Stephen Cherne. 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 Stephen Cherne. The network helps show where Stephen Cherne may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Cherne, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 116 | |
| 2 | 2009 | 62 | |
| 3 | 2010 | 35 | |
| 4 | 2016 | 32 | |
| 5 | 2012 | 32 | |
| 6 | 2009 | 30 | |
| 7 | 2021 | 27 | |
| 8 | 2009 | 25 | |
| 9 | 2010 | 23 | |
| 10 | 2011 | 20 | |
| 11 | 2018 | 15 | |
| 12 | 2018 | 11 | |
| 13 | 2014 | 9 | |
| 14 | 2012 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2017 | 6 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Stephen Cherne
Stephen Cherne is a scholar working on Epidemiology, Surgery, Molecular Biology, Virology and Infectious Diseases, having authored 18 papers that have together received 460 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (15 papers), Genital Health and Disease (8 papers), Molecular Biology Techniques and Applications (4 papers), HIV Research and Treatment (3 papers), Hepatitis B Virus Studies (3 papers), HIV/AIDS drug development and treatment (3 papers), HIV/AIDS Research and Interventions (2 papers) and Reproductive tract infections research (2 papers). The work is most often cited by research in Virology (108 citations), Epidemiology (322 citations), Microbiology (55 citations), Infectious Diseases (113 citations) and Otorhinolaryngology (22 citations). Stephen Cherne has collaborated with scholars based in United States, Senegal and France. Frequent co-authors include Rachel L. Winer, Qinghua Feng, Laura A. Koutsky, Nancy B. Kiviat, Long Fu Xi, Sandra O’Reilly, James P. Hughes, Stephen E. Hawes, Nancy B. Kiviat and Geoffrey S. Gottlieb. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Journal of Clinical Microbiology, The Journal of Infectious Diseases, Clinical Infectious Diseases and JNCI Journal of the National Cancer Institute.
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.