Stephen Ko
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 10%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- HIV, Drug Use, Sexual Risk
Papers in
- Epidemiology 10
- Hepatitis B Virus Studies 9
- HIV, Drug Use, Sexual Risk 2
- Liver Disease Diagnosis and Treatment 2
-
- Hepatitis C virus research 6
- Hepatitis Viruses Studies and Epidemiology 5
- Co-authors
- Trudy V. Murphy (4 shared papers)Sarah Schillie (3 shared papers)Tanja Y. Walker (2 shared papers)Noele P. Nelson (2 shared papers)Sandra A. Morris (1 shared paper)Ashraf Coovadia (1 shared paper)Renate Strehlau (1 shared paper)Fujie Xu (3 shared papers)
- Journals
- MMWR Morbidity and Mortality Weekly Report (2 papers)Human Vaccines & Immunotherapeutics (1 paper)Vaccine (1 paper)Journal of the Pediatric Infectious Diseases Society (1 paper)The Journal of Infectious Diseases (1 paper)
- Partner nations
- United StatesSouth AfricaGeorgia
In The Last Decade
Stephen Ko
11 papers receiving 391 citations
Peers
Comparison fields: 5 of 48
- Hepatology 297
- Epidemiology 336
- Virology 34
- Infectious Diseases 106
- Health 36
Countries citing papers authored by Stephen Ko
This map shows the geographic impact of Stephen Ko'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 Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Ko more than expected).
Fields of papers citing papers by Stephen Ko
This network shows the impact of papers produced by Stephen Ko. 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 Ko. The network helps show where Stephen Ko may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Ko, 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 | 2015 | 88 | |
| 2 | 2015 | 64 | |
| 3 | 2010 | 47 | |
| 4 | 2019 | 42 | |
| 5 | 2014 | 40 | |
| 6 | 2015 | 32 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 21 | |
| 9 | 2016 | 14 | |
| 10 | Locations and reasons for initial testing for hepatitis C infection - Chronic Hepatitis Cohort Study, United States, 2006-2010 | 2013 | 14 |
| 11 | 2014 | 10 |
About Stephen Ko
Stephen Ko is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Health and General Health Professions, having authored 11 papers that have together received 399 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), HIV, Drug Use, Sexual Risk (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (297 citations), Epidemiology (336 citations), Virology (34 citations), Infectious Diseases (106 citations) and Health (36 citations). Stephen Ko has collaborated with scholars based in United States, South Africa and Georgia. Frequent co-authors include Trudy V. Murphy, Sarah Schillie, Tanja Y. Walker, Noele P. Nelson, Sandra A. Morris, Ashraf Coovadia, Renate Strehlau, Fujie Xu, Elaine J. Abrams and Louise Kuhn. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Human Vaccines & Immunotherapeutics, Vaccine, Journal of the Pediatric Infectious Diseases Society and The Journal of Infectious Diseases.
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.