Rolf E. Taffs
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Virology top 5%
Papers in
-
- Viral gastroenteritis research and epidemiology 13
- Co-authors
- Michail V. Sitkovsky (5 shared papers)Antonio Filippini (2 shared papers)Takashi Agui (1 shared paper)R.W. BRILES (1 shared paper)Howard A. Stone (1 shared paper)W. Elwood Briles (1 shared paper)Jibin Yao (2 shared papers)Jonette Keri (2 shared papers)
- Journals
- The Journal of Infectious Diseases (3 papers)Virology (3 papers)Biologicals (3 papers)Journal of Virology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Rolf E. Taffs
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Physiology 271
- Virology 158
- Immunology 379
- Infectious Diseases 273
- Neurology 104
Countries citing papers authored by Rolf E. Taffs
This map shows the geographic impact of Rolf E. Taffs'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 Rolf E. Taffs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf E. Taffs more than expected).
Fields of papers citing papers by Rolf E. Taffs
This network shows the impact of papers produced by Rolf E. Taffs. 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 Rolf E. Taffs. The network helps show where Rolf E. Taffs may publish in the future.
Co-authors
The 25 scholars most cited alongside Rolf E. Taffs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 182 | |
| 2 | 1990 | 165 | |
| 3 | 1983 | 140 | |
| 4 | 1992 | 113 | |
| 5 | 2000 | 54 | |
| 6 | 2003 | 53 | |
| 7 | 1989 | 49 | |
| 8 | 2005 | 40 | |
| 9 | 1994 | 38 | |
| 10 | 1987 | 37 | |
| 11 | 2000 | 34 | |
| 12 | 1991 | 33 | |
| 13 | 1995 | 31 | |
| 14 | 1992 | 31 | |
| 15 | 2005 | 30 | |
| 16 | 1995 | 30 | |
| 17 | 2000 | 28 | |
| 18 | 1996 | 27 | |
| 19 | Transgenic mice as an alternative to monkeys for neurovirulence testing of live oral poliovirus vaccine: validation by a WHO collaborative study. | 2003 | 27 |
| 20 | 2005 | 25 |
About Rolf E. Taffs
Rolf E. Taffs is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology and Epidemiology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (13 papers), Viral Infections and Immunology Research (13 papers), Virus-based gene therapy research (8 papers), Immune Cell Function and Interaction (6 papers), Respiratory viral infections research (4 papers), Virology and Viral Diseases (4 papers), HIV Research and Treatment (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Physiology (271 citations), Virology (158 citations), Immunology (379 citations), Infectious Diseases (273 citations) and Neurology (104 citations). Rolf E. Taffs has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Michail V. Sitkovsky, Antonio Filippini, Takashi Agui, R.W. BRILES, Howard A. Stone, W. Elwood Briles, Jibin Yao, Jonette Keri, Carol A. Colton and Inessa S. Levenbook. Their work appears in journals such as The Journal of Infectious Diseases, Virology, Biologicals, Journal of Virology and The Journal of Immunology.
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.