Jonas Salk

4.8k citations
90 papers · 2.6k · h-index 27

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

Jonas Salk

87 papers receiving 2.1k citations

Peers

Jonas Salk
Comparison fields: 5 of 158
  • Virology 419
  • Infectious Diseases 797
  • Cardiology and Cardiovascular Medicine 769
  • Immunology 612
  • Epidemiology 557
Replace Maurice Green with:
Maurice Green United States
Anjalie Field United States
Johannes Löwer Germany
Carl W. Dieffenbach United States
D. C. Burke United Kingdom
Alan Cochrane Canada
Hengli Tang United States
William V. Williams United States
S. Edwards United Kingdom
Ian A. Ramshaw Australia
Jonas Salk relative to Maurice Green United States Maurice Green's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jonas Salk

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Salk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969343
2 1993172
3 1954140
4 1977126
5 1953124
6 1987119
7 1954116
8 198478
9 195272
10 198764
11 195363
12 195558
13 199646
14
Anatomy of Reality: Merging of Intuition and Reason
198344
15 195336
16 198435
17 196035
18 195534
19 195434
20 195534

About Jonas Salk

Jonas Salk is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Immunology and Molecular Biology, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (39 papers), Viral gastroenteritis research and epidemiology (16 papers), Animal Virus Infections Studies (10 papers), HIV Research and Treatment (9 papers), Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Virology (419 citations), Infectious Diseases (797 citations), Cardiology and Cardiovascular Medicine (769 citations), Immunology (612 citations) and Epidemiology (557 citations). Jonas Salk has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Julius S. Youngner, Elsie N. Ward, E.H. Eylar, George C. Beveridge, Darrell Salk, Angela M. Laurent, Byron L. Bennett, L. JAMES LEWIS, Mario Clerici and Gene M. Shearer. Their work appears in journals such as Journal of the American Medical Association, American Journal of Epidemiology, Science, Annals of the New York Academy of Sciences and Vaccine.

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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