John Pape
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- Viral Infections and Vectors
Papers in
-
- Mosquito-borne diseases and control 6
- Zoonotic diseases and public health 3
-
- Infectious Encephalopathies and Encephalitis 2
- Co-authors
- Philip M. Murphy (2 shared papers)David H. McDermott (2 shared papers)Jean K. Lim (2 shared papers)William A. Frank (1 shared paper)William G. Glass (1 shared paper)James J. Sejvar (3 shared papers)Grant L. Campbell (3 shared papers)Brad J. Biggerstaff (4 shared papers)
- Journals
- Journal of Clinical Microbiology (2 papers)Journal of Medical Entomology (2 papers)IEEE Communications Magazine (2 papers)Emerging infectious diseases (2 papers)JDR Clinical & Translational Research (1 paper)
- Partner nations
- United StatesNigeriaHungary
In The Last Decade
John Pape
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Virology 169
- Infectious Diseases 544
- Public Health, Environmental and Occupational Health 626
- Parasitology 110
- Immunology 199
Countries citing papers authored by John Pape
This map shows the geographic impact of John Pape'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 John Pape with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Pape more than expected).
Fields of papers citing papers by John Pape
This network shows the impact of papers produced by John Pape. 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 John Pape. The network helps show where John Pape may publish in the future.
Co-authors
The 25 scholars most cited alongside John Pape, 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 | 2006 | 398 | |
| 2 | 2009 | 173 | |
| 3 | 2005 | 147 | |
| 4 | 2006 | 123 | |
| 5 | 2006 | 84 | |
| 6 | 2008 | 70 | |
| 7 | 2007 | 45 | |
| 8 | 2008 | 44 | |
| 9 | 1999 | 43 | |
| 10 | 2006 | 35 | |
| 11 | 2009 | 31 | |
| 12 | 1995 | 25 | |
| 13 | 2007 | 21 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2009 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2011 | 1 |
About John Pape
John Pape is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Genetics, Parasitology and Epidemiology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (6 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Vector-borne infectious diseases (4 papers), Zoonotic diseases and public health (3 papers), Virology and Viral Diseases (2 papers), Infectious Encephalopathies and Encephalitis (2 papers), Dermatological and COVID-19 studies (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Virology (169 citations), Infectious Diseases (544 citations), Public Health, Environmental and Occupational Health (626 citations), Parasitology (110 citations) and Immunology (199 citations). John Pape has collaborated with scholars based in United States, Nigeria and Hungary. Frequent co-authors include Philip M. Murphy, David H. McDermott, Jean K. Lim, William A. Frank, William G. Glass, James J. Sejvar, Grant L. Campbell, Brad J. Biggerstaff, Kenneth L. Tyler and Anthony A. Marfin. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Entomology, IEEE Communications Magazine, Emerging infectious diseases and JDR Clinical & Translational Research.
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.