William C. Gamble
Impact in
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
-
- Viral gastroenteritis research and epidemiology
Papers in
- Genetics 6
- Virus-based gene therapy research 5
-
- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Nancy J. Cox (2 shared papers)Renee A. Black (2 shared papers)Vladimir Slepushkin (1 shared paper)Jacqueline M. Katz (1 shared paper)Paul A. Rota (1 shared paper)John C. Hierholzer (3 shared papers)Walter R. Dowdle (1 shared paper)Alicia Sánchez-Fauquier (1 shared paper)
- Journals
- Journal of Clinical Microbiology (5 papers)Virus Research (1 paper)Journal of General Virology (1 paper)Vaccine (1 paper)AIBS Bulletin (1 paper)
- Partner nations
- United StatesRussiaIndia
In The Last Decade
William C. Gamble
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 36
- Epidemiology 258
- Infectious Diseases 100
- Immunology 105
- Agronomy and Crop Science 47
- Parasitology 20
Countries citing papers authored by William C. Gamble
This map shows the geographic impact of William C. Gamble'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 William C. Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William C. Gamble more than expected).
Fields of papers citing papers by William C. Gamble
This network shows the impact of papers produced by William C. Gamble. 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 William C. Gamble. The network helps show where William C. Gamble may publish in the future.
Co-authors
The 22 scholars most cited alongside William C. Gamble, 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 | 1995 | 160 | |
| 2 | 1995 | 54 | |
| 3 | 1975 | 53 | |
| 4 | 1995 | 28 | |
| 5 | 1980 | 19 | |
| 6 | 1990 | 14 | |
| 7 | 1972 | 7 | |
| 8 | 1980 | 3 | |
| 9 | The comparison of viral antibody titers of acid-precipitated and non-precipitated mouse ascitic fluids. | 1978 | 2 |
| 10 | 1972 | 2 | |
| 11 | 1963 | 2 | |
| 12 | 1975 | 2 |
About William C. Gamble
William C. Gamble is a scholar working on Genetics, Infectious Diseases, Epidemiology, Molecular Biology and Immunology, having authored 12 papers that have together received 346 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Rabies epidemiology and control (1 paper), Bacillus and Francisella bacterial research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Epidemiology (258 citations), Infectious Diseases (100 citations), Immunology (105 citations), Agronomy and Crop Science (47 citations) and Parasitology (20 citations). William C. Gamble has collaborated with scholars based in United States, Russia and India. Frequent co-authors include Nancy J. Cox, Renee A. Black, Vladimir Slepushkin, Jacqueline M. Katz, Paul A. Rota, John C. Hierholzer, Walter R. Dowdle, Alicia Sánchez-Fauquier, Thedi Ziegler and Henrietta Hall. Their work appears in journals such as Journal of Clinical Microbiology, Virus Research, Journal of General Virology, Vaccine and AIBS Bulletin.
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.