John Wages
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Hepatitis C virus research 7
- Hepatitis Viruses Studies and Epidemiology 5
-
- Hepatitis B Virus Studies 4
- Co-authors
- Yoshiyuki Nakatsuji (2 shared papers)J. Wai‐Kuo Shih (2 shared papers)Jungsuh P. Kim (2 shared papers)ROBERT A. WESLEY (1 shared paper)Jacqueline C. Melpolder (1 shared paper)Harvey J. Alter (1 shared paper)Frank A. White (1 shared paper)J D Berman (1 shared paper)
- Journals
- The Journal of Infectious Diseases (2 papers)Journal of Viral Hepatitis (2 papers)New England Journal of Medicine (1 paper)Science (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John Wages
9 papers receiving 1.8k citations
John Wages's Hit Papers
Peers
Comparison fields: 5 of 49
- Hepatology 1.6k
- Virology 77
- Epidemiology 533
- Management of Technology and Innovation 87
- Biochemistry 40
Countries citing papers authored by John Wages
This map shows the geographic impact of John Wages'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 John Wages with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Wages more than expected).
Fields of papers citing papers by John Wages
This network shows the impact of papers produced by John Wages. 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 John Wages. The network helps show where John Wages may publish in the future.
Co-authors
The 25 scholars most cited alongside John Wages, 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 | Molecular Cloning and Disease Association of Hepatitis G Virus: A Transfusion-Transmissible Agent Hit paper breakdown → | 1996 | 1168 |
| 2 | 1997 | 483 | |
| 3 | 1995 | 79 | |
| 4 | 1996 | 73 | |
| 5 | 1998 | 47 | |
| 6 | 1997 | 36 | |
| 7 | 1997 | 27 | |
| 8 | Transfusion-associated human immunodeficiency virus type 1 from screened antibody-negative blood donors. | 1994 | 11 |
| 9 | 1997 | 10 |
About John Wages
John Wages is a scholar working on Hepatology, Epidemiology, Management of Technology and Innovation, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Hepatitis B Virus Studies (4 papers), Blood donation and transfusion practices (1 paper) and Research on Leishmaniasis Studies (1 paper). The work is most often cited by research in Hepatology (1.6k citations), Virology (77 citations), Epidemiology (533 citations), Management of Technology and Innovation (87 citations) and Biochemistry (40 citations). John Wages has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Yoshiyuki Nakatsuji, J. Wai‐Kuo Shih, Jungsuh P. Kim, ROBERT A. WESLEY, Jacqueline C. Melpolder, Harvey J. Alter, Frank A. White, J D Berman, Max Grögl and Edwin O. Nuzum. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Viral Hepatitis, New England Journal of Medicine, Science and Journal of 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.