Debra Kohn
Impact in
- Epidemiology top 10%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Cervical Cancer and HPV Research
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in ⓘ
- Epidemiology 12
- Cytomegalovirus and herpesvirus research 10
- Herpesvirus Infections and Treatments 8
- Oncology 9
- Polyomavirus and related diseases 7
- Viral-associated cancers and disorders 3
- Co-authors
- Belinda Yen‐Lieberman (13 shared papers)Gary W. Procop (6 shared papers)Yi‐Wei Tang (5 shared papers)Carlos M. Isada (4 shared papers)Alan Taege (4 shared papers)Robin K. Avery (4 shared papers)Nell S. Lurain (3 shared papers)Haijing Li (2 shared papers)
- Journals
- Journal of Clinical Microbiology (7 papers)Diagnostic Molecular Pathology (2 papers)Bone Marrow Transplantation (1 paper)The Journal of Infectious Diseases (1 paper)Transplantation (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Debra Kohn
18 papers receiving 510 citations
Peers
Comparison fields: 5 of 55
- Epidemiology 435
- Parasitology 73
- Virology 30
- Infectious Diseases 111
- Oncology 152
Countries citing papers authored by Debra Kohn
This map shows the geographic impact of Debra Kohn'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 Debra Kohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra Kohn more than expected).
Fields of papers citing papers by Debra Kohn
This network shows the impact of papers produced by Debra Kohn. 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 Debra Kohn. The network helps show where Debra Kohn may publish in the future.
Co-authors
The 25 scholars most cited alongside Debra Kohn, 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 | 2002 | 99 | |
| 2 | 2004 | 74 | |
| 3 | 1999 | 63 | |
| 4 | 2005 | 60 | |
| 5 | 2002 | 56 | |
| 6 | 2008 | 55 | |
| 7 | 2009 | 51 | |
| 8 | 2004 | 19 | |
| 9 | 2018 | 11 | |
| 10 | 2000 | 8 | |
| 11 | 2008 | 7 | |
| 12 | 2005 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2006 | 5 | |
| 15 | 1995 | 4 | |
| 16 | 2009 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2016 | 1 |
About Debra Kohn
Debra Kohn is a scholar working on Epidemiology, Oncology, Infectious Diseases, Virology and Electrical and Electronic Engineering, having authored 18 papers that have together received 531 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (8 papers), Polyomavirus and related diseases (7 papers), Viral-associated cancers and disorders (3 papers), Parvovirus B19 Infection Studies (2 papers), Full-Duplex Wireless Communications (2 papers), HIV Research and Treatment (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Epidemiology (435 citations), Parasitology (73 citations), Virology (30 citations), Infectious Diseases (111 citations) and Oncology (152 citations). Debra Kohn has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Belinda Yen‐Lieberman, Gary W. Procop, Yi‐Wei Tang, Carlos M. Isada, Alan Taege, Robin K. Avery, Nell S. Lurain, Haijing Li, Susan E. Sefers and David L. Longworth. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Molecular Pathology, Bone Marrow Transplantation, The Journal of Infectious Diseases and Transplantation.
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.