J. B. Kurtz
Impact in
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology
- Parvovirus B19 Infection Studies
- Endocrinology top 1%
- Legionella and Acanthamoeba research
Papers in
-
- Viral gastroenteritis research and epidemiology 17
- Epidemiology 17
- Cytomegalovirus and herpesvirus research 7
- Hepatitis B Virus Studies 5
- Co-authors
- Steven Read (3 shared papers)Stephan S. Monroe (1 shared paper)Jacqueline S. Noel (1 shared paper)Roger I. Glass (1 shared paper)Terry Lee (1 shared paper)Peter J. Morris (6 shared papers)C M Anand (1 shared paper)Robert Higgins (5 shared papers)
- Journals
- Journal of Clinical Pathology (5 papers)Journal of Clinical Microbiology (4 papers)Transplantation (4 papers)Epidemiology and Infection (3 papers)QJM (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
J. B. Kurtz
54 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 1.4k
- Endocrinology 363
- Animal Science and Zoology 549
- Hepatology 324
- Epidemiology 653
Countries citing papers authored by J. B. Kurtz
This map shows the geographic impact of J. B. Kurtz'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 J. B. Kurtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. B. Kurtz more than expected).
Fields of papers citing papers by J. B. Kurtz
This network shows the impact of papers produced by J. B. Kurtz. 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 J. B. Kurtz. The network helps show where J. B. Kurtz may publish in the future.
Co-authors
The 25 scholars most cited alongside J. B. Kurtz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 296 | |
| 2 | 1999 | 147 | |
| 3 | 1994 | 117 | |
| 4 | 1997 | 108 | |
| 5 | 1983 | 105 | |
| 6 | 1981 | 100 | |
| 7 | 1992 | 97 | |
| 8 | 1979 | 92 | |
| 9 | 1994 | 91 | |
| 10 | 1983 | 89 | |
| 11 | 1977 | 69 | |
| 12 | 1988 | 67 | |
| 13 | 1985 | 63 | |
| 14 | 1993 | 62 | |
| 15 | 1980 | 60 | |
| 16 | 1978 | 59 | |
| 17 | 2013 | 55 | |
| 18 | 1982 | 53 | |
| 19 | 1980 | 49 | |
| 20 | 1994 | 45 |
About J. B. Kurtz
J. B. Kurtz is a scholar working on Infectious Diseases, Epidemiology, Animal Science and Zoology, Genetics and Endocrinology, having authored 54 papers that have together received 2.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (10 papers), Virus-based gene therapy research (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Legionella and Acanthamoeba research (7 papers), Hepatitis B Virus Studies (5 papers), Viral Infections and Immunology Research (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Endocrinology (363 citations), Animal Science and Zoology (549 citations), Hepatology (324 citations) and Epidemiology (653 citations). J. B. Kurtz has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Steven Read, Stephan S. Monroe, Jacqueline S. Noel, Roger I. Glass, Terry Lee, Peter J. Morris, C M Anand, Robert Higgins, Jayne Craig and Darren Pickering. Their work appears in journals such as Journal of Clinical Pathology, Journal of Clinical Microbiology, Transplantation, Epidemiology and Infection and QJM.
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.