David M. Knipe

21.5k citations
259 papers · 17.8k · h-index 76

Impact in

  • Virology top 0.1%
    • Poxvirus research and outbreaks
  • Epidemiology top 0.02%
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 194
    • Cytomegalovirus and herpesvirus research 45
    • Toxin Mechanisms and Immunotoxins 42
    • interferon and immune responses 38

David M. Knipe

256 papers receiving 17.0k citations

Peers

David M. Knipe
Comparison fields: 5 of 146
  • Virology 2.4k
  • Epidemiology 12.2k
  • Immunology 6.9k
  • Genetics 4.2k
  • Animal Science and Zoology 1.2k
Replace Gary H. Cohen with:
Gary H. Cohen United States
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Jonathan W. Yewdell United States
Mariano Estéban Spain
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David M. Knipe relative to Gary H. Cohen United States Gary H. Cohen's profile →
Citations per field
00.5×1.5×
Gary H. Cohen · 1×
Citations per year

Countries citing papers authored by David M. Knipe

Since Specialization
Citations

This map shows the geographic impact of David M. Knipe'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 David M. Knipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Knipe more than expected).

Fields of papers citing papers by David M. Knipe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Knipe. 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 David M. Knipe. The network helps show where David M. Knipe may publish in the future.

Co-authors

The 25 scholars most cited alongside David M. Knipe, 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 David M. Knipe Line = papers co-authored together David M. Knipe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004492
2 2012351
3 2008350
4 1989331
5 2003319
6 2005317
7 1989305
8 1989304
9 1979277
10 1984271
11 1973240
12 1988235
13 1988230
14 1985228
15 1990224
16 2015217
17 1981210
18 2005207
19 2004199
20 2009190

About David M. Knipe

David M. Knipe is a scholar working on Epidemiology, Immunology, Genetics, Molecular Biology and Virology, having authored 259 papers that have together received 17.8k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (194 papers), Virus-based gene therapy research (78 papers), Cytomegalovirus and herpesvirus research (45 papers), Toxin Mechanisms and Immunotoxins (42 papers), interferon and immune responses (38 papers), Poxvirus research and outbreaks (35 papers), RNA regulation and disease (23 papers) and Animal Virus Infections Studies (20 papers). The work is most often cited by research in Virology (2.4k citations), Epidemiology (12.2k citations), Immunology (6.9k citations), Genetics (4.2k citations) and Animal Science and Zoology (1.2k citations). David M. Knipe has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Donald M. Coen, Anna R. Cliffe, Megan H. Orzalli, Stuart A. Rice, Priscilla A. Schaffer, Neal A. DeLuca, David Baltimore, Harvey F. Lodish, Margaret P. Quinlan and Bernard Roizman. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences, mBio and Molecular and Cellular Biology.

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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