Steven E. Suter

56 papers receiving 1.0k citations

Peers

Steven E. Suter
Comparison fields: 5 of 83
  • Small Animals 219
  • Pulmonary and Respiratory Medicine 571
  • Genetics 397
  • Hematology 92
  • Microbiology 52
Replace Kristine Burgess with:
Kristine Burgess United States
Laura D. Garrett United States
Katherine A. Skorupski United States
Michael Willmann Austria
Corey Saba United States
Kenji Hosoya Japan
Jenna H. Burton United States
Michelle Turek United States
Robyn Elmslie United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven E. Suter

Since Specialization
Citations

This map shows the geographic impact of Steven E. Suter'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 Steven E. Suter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Suter more than expected).

Fields of papers citing papers by Steven E. Suter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven E. Suter. 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 Steven E. Suter. The network helps show where Steven E. Suter may publish in the future.

Co-authors

The 25 scholars most cited alongside Steven E. Suter, 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 Steven E. Suter Line = papers co-authored together Steven E. Suter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013106
2 200581
3 201175
4 201462
5 201352
6 201846
7 200839
8 201136
9 201931
10 200431
11 201429
12 201229
13 201127
14 200926
15 200725
16 200923
17 200223
18 201120
19 201520
20 201618

About Steven E. Suter

Steven E. Suter is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Small Animals, Immunology and Molecular Biology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (36 papers), Virus-based gene therapy research (17 papers), Infectious Diseases and Mycology (9 papers), Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers), Complement system in diseases (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Small Animals (219 citations), Pulmonary and Respiratory Medicine (571 citations), Genetics (397 citations), Hematology (92 citations) and Microbiology (52 citations). Steven E. Suter has collaborated with scholars based in United States, British Virgin Islands and Switzerland. Frequent co-authors include Kristy L. Richards, William Vernau, Matthew Breen, Luke B. Borst, Jennifer L. Willcox, Alison A. Motsinger‐Reif, Laurel E. Williams, Rachael Thomas, Jonathan E. Fogle and George W. Small. Their work appears in journals such as Journal of Veterinary Internal Medicine, Veterinary Immunology and Immunopathology, Veterinary and Comparative Oncology, Journal of the American Veterinary Medical Association and American Journal of Veterinary Research.

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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