MICHAEL E. HERRTAGE

103 papers receiving 2.2k citations

Peers

MICHAEL E. HERRTAGE
Comparison fields: 5 of 108
  • Small Animals 587
  • Equine 97
  • Endocrinology, Diabetes and Metabolism 389
  • Genetics 468
  • Virology 74
Replace Kenneth J. Drobatz with:
Kenneth J. Drobatz United States
Eric Zini Switzerland
Elizabeth A. Rozanski United States
Stephen J. Ettinger United States
Stanley L. Marks United States
Ian K. Ramsey United Kingdom
Danny W. Scott United States
Bruce W. Keene United States
Shelly L. Vaden United States
C. Guillermo Couto United States
MICHAEL E. HERRTAGE relative to Kenneth J. Drobatz United States Kenneth J. Drobatz's profile →
Citations per field
00.5×1.7×
Kenneth J. Drobatz · 1×
Citations per year

Countries citing papers authored by MICHAEL E. HERRTAGE

Since Specialization
Citations

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

Fields of papers citing papers by MICHAEL E. HERRTAGE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 200589
3 201178
4 200778
5 201068
6 199666
7 200465
8 200762
9 199761
10
Survey of mistakes made by recent veterinary graduates.
200460
11 200353
12 200752
13 200550
14 200349
15 199848
16 200545
17 200545
18 202245
19 200843
20 200540

About MICHAEL E. HERRTAGE

MICHAEL E. HERRTAGE is a scholar working on Small Animals, Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 105 papers that have together received 2.5k indexed citations. Recurring topics across this work include Veterinary Oncology Research (27 papers), Veterinary Medicine and Surgery (19 papers), Diabetes and associated disorders (9 papers), Cardiovascular Conditions and Treatments (8 papers), Adrenal Hormones and Disorders (7 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Small Animals (587 citations), Equine (97 citations), Endocrinology, Diabetes and Metabolism (389 citations), Genetics (468 citations) and Virology (74 citations). MICHAEL E. HERRTAGE has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Richard John Mellanby, Penny Watson, Lucy Jane Davison, Briän Catchpole, Johan Petrus Schoeman, Ian K. Ramsey, Jane Margaret Dobson, Aude Roulois, Timothy J. Scase and R. A. S. White. Their work appears in journals such as Journal of Small Animal Practice, Veterinary Radiology & Ultrasound, Journal of Veterinary Internal Medicine, Veterinary Record and The Veterinary Journal.

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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