G. R. Pearson

2.2k citations
74 papers · 1.4k indexed · h-index 23

Impact in

Papers in

G. R. Pearson

72 papers receiving 1.3k citations

Peers

G. R. Pearson
Comparison fields: 5 of 108
  • Endocrinology 285
  • Equine 66
  • Small Animals 289
  • Infectious Diseases 529
  • Animal Science and Zoology 273
Replace H. J. Olander with:
H. J. Olander United States
Robert J. Callan United States
Nahum Y. Shpigel Israel
R. Ducatelle Belgium
Bent Aalbæk Denmark
Stanley Done United Kingdom
Jerome C. Nietfeld United States
C.R. Stokes United Kingdom
Bradford P. Smith United States
Michael J. Yaeger United States
G. R. Pearson relative to H. J. Olander United States H. J. Olander's profile →
Citations per field
00.5×3.9×
H. J. Olander · 1×
Citations per year

Countries citing papers authored by G. R. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by G. R. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20163
2 201518
3 201527
4 201319
5 201113
6 20004
7 19998
8 19962
9
Ovarian fusion in sheep.
19962
10 199516
11 199526
12 199347
13 199317
14 199123
15 1991168
16 19903
17 198829
18 19821
19 19821
20 197512

About G. R. Pearson

G. R. Pearson is a scholar working on Small Animals, Equine, Endocrinology, Animal Science and Zoology and Infectious Diseases, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Escherichia coli research studies (12 papers), Animal health and immunology (11 papers), Veterinary Oncology Research (7 papers), Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers), Coccidia and coccidiosis research (5 papers) and Veterinary Equine Medical Research (5 papers). The work is most often cited by research in Endocrinology (285 citations), Equine (66 citations), Small Animals (289 citations), Infectious Diseases (529 citations) and Animal Science and Zoology (273 citations). G. R. Pearson has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include M. S. McNulty, J. A. Hinton, E. Logan, I. Chopra, Christina A. Cherrington, Tim Mair, Martin J. Woodward, K.W. Head, Adrian L. Cookson and Andrew Wales. Their work appears in journals such as Veterinary Record, Journal of Comparative Pathology, Journal of Small Animal Practice, Veterinary Pathology and Research in Veterinary Science.

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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