John E. Sagartz
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Small Animals top 2%
Papers in ⓘ
- Virology 3
- Co-authors
- Dale L. Morris (3 shared papers)Jeffrey A. Kramer (1 shared paper)R. Mark L. Buller (7 shared papers)Charles C. Capen (7 shared papers)Károly Tóth (6 shared papers)Jacqueline F. Spencer (6 shared papers)William S.M. Wold (6 shared papers)Sissy Jhiang (3 shared papers)
- Journals
- Toxicologic Pathology (6 papers)Veterinary Pathology (3 papers)Virology (2 papers)Cancer Research (2 papers)Avian Diseases (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
John E. Sagartz
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Virology 182
- Small Animals 152
- Oncology 461
- Endocrinology, Diabetes and Metabolism 269
- Genetics 423
Countries citing papers authored by John E. Sagartz
This map shows the geographic impact of John E. Sagartz'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 E. Sagartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Sagartz more than expected).
Fields of papers citing papers by John E. Sagartz
This network shows the impact of papers produced by John E. Sagartz. 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 E. Sagartz. The network helps show where John E. Sagartz may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Sagartz, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 241 | |
| 2 | 1996 | 235 | |
| 3 | 2008 | 110 | |
| 4 | 2008 | 97 | |
| 5 | 2010 | 85 | |
| 6 | 2001 | 77 | |
| 7 | 2008 | 60 | |
| 8 | 1992 | 50 | |
| 9 | 2013 | 49 | |
| 10 | 1999 | 48 | |
| 11 | 2008 | 48 | |
| 12 | 1996 | 47 | |
| 13 | 1997 | 46 | |
| 14 | 1998 | 45 | |
| 15 | 2015 | 43 | |
| 16 | 2012 | 42 | |
| 17 | 2010 | 40 | |
| 18 | 2001 | 35 | |
| 19 | 1992 | 34 | |
| 20 | 2015 | 32 |
About John E. Sagartz
John E. Sagartz is a scholar working on Small Animals, Virology, Microbiology, Genetics and Biotechnology, having authored 43 papers that have together received 1.8k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Veterinary Oncology Research (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer Research and Treatments (4 papers), Herpesvirus Infections and Treatments (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Microbial infections and disease research (3 papers). The work is most often cited by research in Virology (182 citations), Small Animals (152 citations), Oncology (461 citations), Endocrinology, Diabetes and Metabolism (269 citations) and Genetics (423 citations). John E. Sagartz has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Dale L. Morris, Jeffrey A. Kramer, R. Mark L. Buller, Charles C. Capen, Károly Tóth, Jacqueline F. Spencer, William S.M. Wold, Sissy Jhiang, Y. Choi and Shunhua Xing. Their work appears in journals such as Toxicologic Pathology, Veterinary Pathology, Virology, Cancer Research and Avian 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.