Rolf E. Taffs

1.6k citations
40 papers · 1.4k · h-index 21

Impact in

  • Physiology top 1%
    • Adenosine and Purinergic Signaling
  • Virology top 5%
    • Poxvirus research and outbreaks
    • HIV Research and Treatment

Papers in

Rolf E. Taffs

40 papers receiving 1.3k citations

Peers

Rolf E. Taffs
Comparison fields: 5 of 92
  • Physiology 261
  • Virology 153
  • Neurology 72
  • Immunology 167
  • Cardiology and Cardiovascular Medicine 145
Replace Serguei G. Popov with:
Serguei G. Popov United States
Stefanie Czub Canada
Soumitra Roy United States
Kerry J. Laing United States
Tim J. Self United Kingdom
Makoto Sugimura Japan
Andreia Pinto United Kingdom
Xiaoyong Bao United States
Richa Tyagi United States
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Citations per field
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Serguei G. Popov · 1×
Citations per year

Countries citing papers authored by Rolf E. Taffs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rolf E. Taffs Line = papers co-authored together Rolf E. Taffs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990181
2 1990163
3 1983144
4 1992110
5 200357
6 200054
7 198948
8 200540
9 199439
10 198737
11 200034
12 199133
13 200533
14 199231
15 199531
16 199531
17 199629
18
Transgenic mice as an alternative to monkeys for neurovirulence testing of live oral poliovirus vaccine: validation by a WHO collaborative study.
200327
19 200325
20 200525

About Rolf E. Taffs

Rolf E. Taffs is a scholar working on Cardiology and Cardiovascular Medicine, Virology, Immunology, Epidemiology and Physiology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (13 papers), T-cell and B-cell Immunology (7 papers), Virology and Viral Diseases (5 papers), Signaling Pathways in Disease (3 papers), HIV Research and Treatment (3 papers), Evolution and Genetic Dynamics (3 papers), Poxvirus research and outbreaks (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (261 citations), Virology (153 citations), Neurology (72 citations), Immunology (167 citations) and Cardiology and Cardiovascular Medicine (145 citations). Rolf E. Taffs has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include M V Sitkovsky, Antonio Filippini, Takashi Agui, Ruth W. Briles, W. Elwood Briles, Jonette E. Keri, Jibin Yao, Carol A. Colton, Inessa S. Levenbook and Eugenia M. Dragunsky. Their work appears in journals such as Virology, The Journal of Infectious Diseases, Biologicals, Pediatric Research 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.

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