Stephen Ko
Impact in
- Hepatology top 5%
- 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
-
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 1
-
- Hepatitis C virus research 6
- Hepatitis Viruses Studies and Epidemiology 2
- Co-authors
- Trudy V. Murphy (4 shared papers)Nancy Fenlon (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)Renate Strehlau (1 shared paper)Elaine J. Abrams (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (2 papers)Human Vaccines & Immunotherapeutics (1 paper)PEDIATRICS (1 paper)BMC Public Health (1 paper)Hepatology (1 paper)
- Partner nations
- United StatesUgandaSouth Africa
In The Last Decade
Stephen Ko
11 papers receiving 405 citations
Peers
Comparison fields: 5 of 37
- Hepatology 218
- Epidemiology 251
- Infectious Diseases 76
- Virology 14
- Health 16
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 | 97 | |
| 2 | 2015 | 68 | |
| 3 | 2010 | 46 | |
| 4 | 2019 | 45 | |
| 5 | 2014 | 41 | |
| 6 | 2015 | 32 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 23 | |
| 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, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 417 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (6 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Adolescent Sexual and Reproductive Health (1 paper), HIV/AIDS drug development and treatment (1 paper), Global Maternal and Child Health (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Hepatology (218 citations), Epidemiology (251 citations), Infectious Diseases (76 citations), Virology (14 citations) and Health (16 citations). Stephen Ko has collaborated with scholars based in United States, Uganda and South Africa. Frequent co-authors include Trudy V. Murphy, Nancy Fenlon, Sarah Schillie, Tanja Y. Walker, Noele P. Nelson, Sandra A. Morris, Renate Strehlau, Elaine J. Abrams, Liesl M. Hagan and Francisco Averhoff. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Human Vaccines & Immunotherapeutics, PEDIATRICS, BMC Public Health 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.