John E. Sagartz
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
- Small Animals top 2%
- Animal testing and alternatives
Papers in
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- Thyroid Cancer Diagnosis and Treatment 4
- Co-authors
- Dale L. Morris (3 shared papers)Jeffrey A. Kramer (1 shared paper)R. Mark L. Buller (7 shared papers)Charles C. Capen (8 shared papers)Károly Tóth (7 shared papers)William S.M. Wold (7 shared papers)Jacqueline F. Spencer (7 shared papers)Sissy Meihua Jhiang (3 shared papers)
- Journals
- Toxicologic Pathology (7 papers)Veterinary Pathology (3 papers)Antiviral Research (2 papers)Virology (2 papers)Molecular Therapy (2 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
John E. Sagartz
46 papers receiving 2k citations
Peers
Comparison fields: 5 of 108
- Virology 188
- Small Animals 187
- Endocrinology, Diabetes and Metabolism 323
- Cancer Research 156
- Epidemiology 310
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 292 | |
| 2 | 1996 | 270 | |
| 3 | 2008 | 125 | |
| 4 | 2008 | 104 | |
| 5 | 2010 | 97 | |
| 6 | 2001 | 91 | |
| 7 | 2020 | 79 | |
| 8 | 2008 | 68 | |
| 9 | 2008 | 66 | |
| 10 | 1997 | 62 | |
| 11 | 2013 | 56 | |
| 12 | 1996 | 51 | |
| 13 | 1992 | 50 | |
| 14 | 2017 | 50 | |
| 15 | 1999 | 49 | |
| 16 | 2012 | 46 | |
| 17 | 1998 | 45 | |
| 18 | 2015 | 45 | |
| 19 | 2010 | 44 | |
| 20 | 2001 | 41 |
About John E. Sagartz
John E. Sagartz is a scholar working on Small Animals, Endocrinology, Diabetes and Metabolism, Epidemiology, Cancer Research and Virology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Veterinary Oncology Research (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Poxvirus research and outbreaks (3 papers), Hepatitis B Virus Studies (2 papers), interferon and immune responses (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Virology (188 citations), Small Animals (187 citations), Endocrinology, Diabetes and Metabolism (323 citations), Cancer Research (156 citations) and Epidemiology (310 citations). John E. Sagartz has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Dale L. Morris, Jeffrey A. Kramer, R. Mark L. Buller, Charles C. Capen, Károly Tóth, William S.M. Wold, Jacqueline F. Spencer, Sissy Meihua Jhiang, C. Guillermo Couto and Jan Parker‐Thornburg. Their work appears in journals such as Toxicologic Pathology, Veterinary Pathology, Antiviral Research, Virology and Molecular Therapy.
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.