J. Wages
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 5%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Trypanosoma species research and implications
Papers in
-
- Hepatitis C virus research 4
- Hepatitis Viruses Studies and Epidemiology 4
-
- Hepatitis B Virus Studies 4
- Co-authors
- J. Wai‐Kuo Shih (2 shared papers)Yoshiyuki Nakatsuji (2 shared papers)Robert Wesley (1 shared paper)Harvey J. Alter (1 shared paper)Jacqueline C. Melpolder (1 shared paper)J D Berman (1 shared paper)Frank A. White (1 shared paper)Edwin O. Nuzum (1 shared paper)
- Journals
- Journal of Viral Hepatitis (2 papers)The Journal of Infectious Diseases (2 papers)Journal of Hepatology (1 paper)New England Journal of Medicine (1 paper)American Journal of Tropical Medicine and Hygiene (1 paper)
- Partner nations
- United StatesGreeceJapan
In The Last Decade
J. Wages
8 papers receiving 702 citations
Peers
Comparison fields: 5 of 43
- Hepatology 446
- Epidemiology 458
- Animal Science and Zoology 89
- Virology 27
- Infectious Diseases 100
Countries citing papers authored by J. Wages
This map shows the geographic impact of J. 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 J. Wages with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Wages more than expected).
Fields of papers citing papers by J. Wages
This network shows the impact of papers produced by J. 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 J. Wages. The network helps show where J. Wages may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 1997 | 460 | |
| 2 | 1996 | 74 | |
| 3 | 1995 | 74 | |
| 4 | 1998 | 46 | |
| 5 | 1997 | 35 | |
| 6 | 1997 | 28 | |
| 7 | 1997 | 10 | |
| 8 | Transfusion-associated human immunodeficiency virus type 1 from screened antibody-negative blood donors. | 1994 | 7 |
About J. Wages
J. Wages is a scholar working on Hepatology, Epidemiology, Public Health, Environmental and Occupational Health, Hematology and Infectious Diseases, having authored 8 papers that have together received 734 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Hepatitis B Virus Studies (4 papers), Research on Leishmaniasis Studies (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Hepatology (446 citations), Epidemiology (458 citations), Animal Science and Zoology (89 citations), Virology (27 citations) and Infectious Diseases (100 citations). J. Wages has collaborated with scholars based in United States, Greece and Japan. Frequent co-authors include J. Wai‐Kuo Shih, Yoshiyuki Nakatsuji, Robert Wesley, Harvey J. Alter, Jacqueline C. Melpolder, J D Berman, Frank A. White, Edwin O. Nuzum, C.P. Thakur and K Kiyosawa. Their work appears in journals such as Journal of Viral Hepatitis, The Journal of Infectious Diseases, Journal of Hepatology, New England Journal of Medicine and American Journal of Tropical Medicine and Hygiene.
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.