Gary Munk
Impact in
- Microbiology top 5%
- Reproductive tract infections research
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Influenza Virus Research Studies
- Respiratory viral infections research
- Hepatitis B Virus Studies
Papers in ⓘ
- Epidemiology 10
- Influenza Virus Research Studies 5
- Cytomegalovirus and herpesvirus research 2
- Cervical Cancer and HPV Research 2
- Herpesvirus Infections and Treatments 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Sten H. Vermund (2 shared papers)Robert D. Burk (2 shared papers)Anat R. Feingold (2 shared papers)Karen Kelley (2 shared papers)Robert S. Klein (1 shared paper)Klaus Schréiber (1 shared paper)C. Russo (2 shared papers)R S Klein (1 shared paper)
- Journals
- Vaccine (2 papers)The Analyst (2 papers)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesBulgariaGermany
In The Last Decade
Gary Munk
13 papers receiving 575 citations
Peers
Comparison fields: 5 of 76
- Microbiology 86
- Epidemiology 447
- Infectious Diseases 148
- Virology 30
- Immunology 90
Countries citing papers authored by Gary Munk
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 205 | |
| 2 | Cervical cytologic abnormalities and papillomavirus in women infected with human immunodeficiency virus. | 1990 | 113 |
| 3 | 2001 | 49 | |
| 4 | 1997 | 47 | |
| 5 | 1987 | 38 | |
| 6 | 1996 | 36 | |
| 7 | 1998 | 29 | |
| 8 | 1999 | 28 | |
| 9 | 2016 | 17 | |
| 10 | 1994 | 15 | |
| 11 | 2010 | 13 | |
| 12 | 2021 | 9 | |
| 13 | 2020 | 3 |
About Gary Munk
Gary Munk is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 602 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Advanced biosensing and bioanalysis techniques (2 papers), Cytomegalovirus and herpesvirus research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Cervical Cancer and HPV Research (2 papers), Biosensors and Analytical Detection (2 papers), Herpesvirus Infections and Treatments (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Microbiology (86 citations), Epidemiology (447 citations), Infectious Diseases (148 citations), Virology (30 citations) and Immunology (90 citations). Gary Munk has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include Sten H. Vermund, Robert D. Burk, Anat R. Feingold, Karen Kelley, Robert S. Klein, Klaus Schréiber, C. Russo, R S Klein, Gerald Friedland and Lewis K. Schrager. Their work appears in journals such as Vaccine, The Analyst, Clinical Infectious Diseases, Scientific Reports and American Journal of Obstetrics and Gynecology.
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.