Gary Munk

781 citations
13 papers · 684 · h-index 11

Impact in

    • Cervical Cancer and HPV Research
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Herpesvirus Infections and Treatments
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

    • Influenza Virus Research Studies 5
    • Respiratory viral infections research 2
    • Cytomegalovirus and herpesvirus research 2
    • Cervical Cancer and HPV Research 2
    • Herpesvirus Infections and Treatments 2
    • SARS-CoV-2 and COVID-19 Research 2

Gary Munk

13 papers receiving 624 citations

Peers

Gary Munk
Comparison fields: 5 of 68
  • Epidemiology 485
  • Microbiology 52
  • Infectious Diseases 146
  • Virology 27
  • Immunology 69
Replace Arvid Nilsen with:
Arvid Nilsen Norway
Camilla A. Brooks United States
A. Fahnlander United States
Midori Jane Nishio Japan
Alcina F. Nicol Brazil
Giulia Piccirilli Italy
Jussara Bianchi Castelli Brazil
Petra Tunbäck Sweden
Masaro Kaji Japan
G. E. D. Urquhart United Kingdom
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Citations per field
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Arvid Nilsen · 1×
Citations per year

Countries citing papers authored by Gary Munk

Since Specialization
Citations

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

Fields of papers citing papers by Gary Munk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1991233
2
Cervical cytologic abnormalities and papillomavirus in women infected with human immunodeficiency virus.
1990131
3 200157
4 199750
5 198744
6 199839
7 199637
8 199927
9 201019
10 201618
11 199416
12 202110
13 20203

About Gary Munk

Gary Munk is a scholar working on Epidemiology, Infectious Diseases, Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 13 papers that have together received 684 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Advanced Biosensing Techniques and Applications (2 papers), Respiratory viral infections research (2 papers), Diabetes and associated disorders (2 papers), Cytomegalovirus and herpesvirus research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cervical Cancer and HPV Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Epidemiology (485 citations), Microbiology (52 citations), Infectious Diseases (146 citations), Virology (27 citations) and Immunology (69 citations). Gary Munk has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Robert David Burk, Anat R. Feingold, Sten H. Vermund, Karen Kelley, Robert S. Klein, Klaus Schréiber, Lewis K. Schrager, K. Schreiber, R S Klein and GERALD H. FRIEDLAND. Their work appears in journals such as The Analyst, Vaccine, Clinical Infectious Diseases, Scientific Reports and The Journal of Infectious Diseases.

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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