Peter Duesberg

13.6k citations
199 papers · 10.9k · h-index 63

Impact in

Papers in

Peter Duesberg

195 papers receiving 9.2k citations

Peers

Peter Duesberg
Comparison fields: 5 of 159
  • Animal Science and Zoology 2.2k
  • Virology 787
  • Genetics 3.6k
  • Cancer Research 1.4k
  • Molecular Biology 5.6k
Replace Pierre Tiollais with:
Pierre Tiollais France
Aaron J. Shatkin United States
Michael M. C. Lai United States
Michael R. Botchan United States
Michael B. Mathews United States
Saul J. Silverstein United States
Judith M. White United States
Laimonis A. Laimins United States
Howard M. Temin United States
Denise A. Galloway United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Duesberg

Since Specialization
Citations

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

Fields of papers citing papers by Peter Duesberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Duesberg. 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 Peter Duesberg. The network helps show where Peter Duesberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 199 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983382
2 1998305
3 1968228
4 2000220
5 1975215
6 1973206
7 1970195
8 1972192
9 1972189
10 2000182
11 1983167
12 1983167
13 1985158
14 1969156
15 2003151
16 1985150
17 1997148
18 1970139
19 2000136
20 1977129

About Peter Duesberg

Peter Duesberg is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Plant Science and Epidemiology, having authored 199 papers that have together received 10.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (61 papers), Virus-based gene therapy research (54 papers), Plant Virus Research Studies (34 papers), Cancer Genomics and Diagnostics (27 papers), Microtubule and mitosis dynamics (21 papers), RNA and protein synthesis mechanisms (21 papers), HIV Research and Treatment (20 papers) and Bacteriophages and microbial interactions (16 papers). The work is most often cited by research in Animal Science and Zoology (2.2k citations), Virology (787 citations), Genetics (3.6k citations), Cancer Research (1.4k citations) and Molecular Biology (5.6k citations). Peter Duesberg has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Peter K. Vogt, David Rasnick, Rüediger Hehlmann, Ruhong Li, Klaus Bister, William H. Robinson, Michael Nunn, Eli Canaani, C. Moscovici and Michael M. C. Lai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Virology, Nature and Science.

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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