Erik Teske

155 papers receiving 3.7k citations

Peers

Erik Teske
Comparison fields: 5 of 116
  • Small Animals 1.2k
  • Equine 116
  • Pulmonary and Respiratory Medicine 2.0k
  • Microbiology 229
  • Genetics 822
Replace Gregory K. Ogilvie with:
Gregory K. Ogilvie United States
Antony S. Moore United States
Barbara E. Powers United States
Gregory B. Daniel United States
Jeffrey S. Klausner United States
Steven E. Weisbrode United States
Karin U. Sørenmo United States
Stephen A. Kruth Canada
H. Gerber Switzerland
E. J. Ehrhart United States
Erik Teske relative to Gregory K. Ogilvie United States Gregory K. Ogilvie's profile →
Citations per field
00.5×1.7×
Gregory K. Ogilvie · 1×
Citations per year

Countries citing papers authored by Erik Teske

Since Specialization
Citations

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

Fields of papers citing papers by Erik Teske

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik Teske. 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 Erik Teske. The network helps show where Erik Teske may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995178
2 1994157
3 2002154
4 2002152
5 1999141
6 1994123
7 2008114
8 2002110
9 2002104
10 200884
11
Histologic classification and immunophenotyping of canine non-Hodgkin's lymphomas: unexpected high frequency of T cell lymphomas with B cell morphology.
199476
12 200876
13 201072
14 200569
15 198865
16 200565
17 200564
18 200563
19 200361
20 199760

About Erik Teske

Erik Teske is a scholar working on Small Animals, Pulmonary and Respiratory Medicine, Genetics, Microbiology and Endocrinology, Diabetes and Metabolism, having authored 162 papers that have together received 4.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (76 papers), Virus-based gene therapy research (26 papers), Veterinary Medicine and Surgery (21 papers), Infectious Diseases and Mycology (18 papers), Microbial infections and disease research (11 papers), Pituitary Gland Disorders and Treatments (9 papers), Drug Transport and Resistance Mechanisms (9 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Small Animals (1.2k citations), Equine (116 citations), Pulmonary and Respiratory Medicine (2.0k citations), Microbiology (229 citations) and Genetics (822 citations). Erik Teske has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Gerard R. Rutteman, Peter van Heerde, H.S. Kooistra, Jolle Kirpensteijn, Peter F. Moore, Jan Jaap Rothuizen, Marja L. Kik, Maurice M.J.M. Zandvliet, Ilene D. Kurzman and E. Gregory MacEwen. Their work appears in journals such as Journal of Veterinary Internal Medicine, Veterinary Quarterly, Veterinary and Comparative Oncology, The Veterinary Journal and Journal of Feline Medicine and Surgery.

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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