Erwin G. Pearson

839 citations
37 papers · 572 · h-index 17

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
    • Animal health and immunology
    • Helminth infection and control

Papers in

Erwin G. Pearson

36 papers receiving 536 citations

Peers

Erwin G. Pearson
Comparison fields: 5 of 87
  • Equine 125
  • Small Animals 147
  • Agronomy and Crop Science 135
  • Animal Science and Zoology 60
  • Microbiology 24
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Citations per year

Countries citing papers authored by Erwin G. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Erwin G. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erwin G. Pearson. 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 Erwin G. Pearson. The network helps show where Erwin G. Pearson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198452
2 199434
3 199631
4 199128
5 198624
6 199424
7 199922
8 200121
9 199120
10
EXPERIMENTALLY INDUCED MENINGEAL WORM (PARELAPHOSTRONGYLUS TENUIS) INFECTION IN THE LLAMA (LAMA GLAMA): CLINICAL EVALUATION AND IMPLICATIONS FOR PARASITE TRANSLOCATION
199420
11 199119
12 198618
13 199117
14 199517
15 198717
16 199216
17 198916
18 198016
19 200415
20 200415

About Erwin G. Pearson

Erwin G. Pearson is a scholar working on Small Animals, Agronomy and Crop Science, Equine, Animal Science and Zoology and Microbiology, having authored 37 papers that have together received 572 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (7 papers), Plant Toxicity and Pharmacological Properties (4 papers), Microbial infections and disease research (4 papers), Animal health and immunology (3 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Helminth infection and control (3 papers), Reproductive Physiology in Livestock (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Equine (125 citations), Small Animals (147 citations), Agronomy and Crop Science (135 citations), Animal Science and Zoology (60 citations) and Microbiology (24 citations). Erwin G. Pearson has collaborated with scholars based in United States and Germany. Frequent co-authors include A. Morrie Craig, Bradford B. Smith, Claire B. Andreasen, Thomas W. Riebold, Olaf R. Hedstrom, Kenneth E. Rowe, Karen I. Timm, Maurice E. White, John A. Schmitz and E. Duane Lassen. Their work appears in journals such as Journal of the American Veterinary Medical Association, American Journal of Veterinary Research, Journal of Veterinary Internal Medicine, Veterinary Record and Journal of Veterinary Diagnostic Investigation.

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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