George M. Barrington

3.2k citations
57 papers · 2.4k indexed · 1 hit paper · h-index 24

George M. Barrington

55 papers receiving 2.3k citations

Hit Papers

Passive Transfer of Colostral Immunoglobulins in Calves5982000202620082017100200300400500

Peers

George M. Barrington
Comparison fields: 5 of 96
  • Small Animals 1.3k
  • Agronomy and Crop Science 938
  • Equine 94
  • Microbiology 298
  • Infectious Diseases 885
Replace Terry W. Lehenbauer with:
Terry W. Lehenbauer United States
G.P. Keefe Canada
Daria N. Love Australia
G.A. Donovan United States
Stanley Done United Kingdom
D. L. Step United States
Jeff Caswell Canada
George C. Fthenakis Greece
Leonidas Leontides Greece
Dale L. Godson Canada
George M. Barrington relative to Terry W. Lehenbauer United States Terry W. Lehenbauer's profile →
Citations per field
00.5×1.5×1.8×
Terry W. Lehenbauer · 1×
Citations per year

Countries citing papers authored by George M. Barrington

Since Specialization
Citations

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

Fields of papers citing papers by George M. Barrington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George M. Barrington. 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 George M. Barrington. The network helps show where George M. Barrington may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20141
2 20129
3 20117
4 20085
5 200717
6 200694
7 200654
8 200519
9 200335
10 200226
11 200237
12 2002106
13 200181
14 200029
15 2000177
16 199959
17
Squamous cell carcinoma originating from a cutaneous scar in a llama.
199720
18 199710
19 19958
20 199122

About George M. Barrington

George M. Barrington is a scholar working on Equine, Small Animals and Microbiology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Animal health and immunology (13 papers), Microbial infections and disease research (12 papers), Mycobacterium research and diagnosis (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Milk Quality and Mastitis in Dairy Cows (6 papers), Tuberculosis Research and Epidemiology (6 papers), Vector-Borne Animal Diseases (6 papers) and Veterinary Equine Medical Research (5 papers). The work is most often cited by research in Small Animals (1.3k citations), Agronomy and Crop Science (938 citations) and Equine (94 citations). George M. Barrington has collaborated with scholars based in United States, South Korea and Egypt. Frequent co-authors include Jeff W. Tyler, Steven M. Parish, David C. VanMetre, Dusty M. Weaver, Douglas E. Hostetler, John R. Wenz, Franklyn B. Garry, William C. Davis, Thomas E. Besser and James F. Evermann. Their work appears in journals such as Journal of the American Veterinary Medical Association, Veterinary Immunology and Immunopathology, Journal of Veterinary Internal Medicine, Journal of Veterinary Diagnostic Investigation and Clinical and Vaccine Immunology.

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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