John E. Sagartz

2.6k citations
48 papers · 2.2k · h-index 28

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • Veterinary medicine and infectious diseases
    • Animal testing and alternatives

Papers in

John E. Sagartz

46 papers receiving 2.0k citations

Peers

John E. Sagartz
Comparison fields: 5 of 72
  • Virology 179
  • Small Animals 136
  • Endocrinology, Diabetes and Metabolism 295
  • Cancer Research 102
  • Epidemiology 200
Replace Glenn H. Cantor with:
Glenn H. Cantor United States
Patricia S. Latham United States
Yingchao Wang China
Kosuke Okada Japan
Sabine Mihm Germany
Shan Lü China
Zaher A. Radi United States
Mariângela Esther Alencar Marques Brazil
Xin Tan China
John E. Sagartz relative to Glenn H. Cantor United States Glenn H. Cantor's profile →
Citations per field
00.5×5×11.9×
Glenn H. Cantor · 1×
Citations per year

Countries citing papers authored by John E. Sagartz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John E. Sagartz Line = papers co-authored together John E. Sagartz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007292
2 1996270
3 2008125
4 2008104
5 201097
6 200191
7 202079
8 200868
9 200866
10 199762
11 201356
12 199651
13 199250
14 201750
15 199949
16 201246
17 199845
18 201545
19 201044
20 200141

About John E. Sagartz

John E. Sagartz is a scholar working on Endocrinology, Diabetes and Metabolism, Small Animals, Virology, Cancer Research and Immunology, having authored 48 papers that have together received 2.2k indexed citations. Recurring topics across this work include Veterinary Oncology Research (5 papers), Carcinogens and Genotoxicity Assessment (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Poxvirus research and outbreaks (3 papers), Veterinary medicine and infectious diseases (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Hepatitis B Virus Studies (2 papers) and Animal testing and alternatives (2 papers). The work is most often cited by research in Virology (179 citations), Small Animals (136 citations), Endocrinology, Diabetes and Metabolism (295 citations), Cancer Research (102 citations) and Epidemiology (200 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, Jacqueline F. Spencer, William S.M. Wold, 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.

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