Gemma Pearson

58 papers receiving 914 citations

Peers

Gemma Pearson
Comparison fields: 5 of 87
  • Equine 259
  • Gastroenterology 194
  • Small Animals 168
  • Cellular and Molecular Neuroscience 317
  • Speech and Hearing 76
Replace Dania Reiche with:
Dania Reiche Germany
Sarah R. Glick Switzerland
Barry F. Leek Ireland
Terrell A. Holliday United States
Alicia Z. Karas United States
Robert L. Snipes Germany
Marie H. A. De Groodt-Lasseel Belgium
Miroslaw Łakomy Poland
Philippa S. Yam United Kingdom
Yukio Oomori Japan
Gemma Pearson relative to Dania Reiche Germany Dania Reiche's profile →
Citations per field
00.5×5×10×12.7×
Dania Reiche · 1×
Citations per year

Countries citing papers authored by Gemma Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983172
2 201877
3 198671
4 200459
5 199445
6 199943
7 201541
8 201734
9 198433
10 202130
11 198129
12 198127
13 198025
14 198123
15
Complex correlations between the morphology, electrophysiology and peptide immunohistochemistry of guinea-pig enteric neurones.
199219
16 202016
17 202316
18 200015
19 199714
20 199514

About Gemma Pearson

Gemma Pearson is a scholar working on Equine, Gastroenterology, Cellular and Molecular Neuroscience, Speech and Hearing and Small Animals, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (19 papers), Gastrointestinal motility and disorders (17 papers), Veterinary Practice and Education Studies (10 papers), Human-Animal Interaction Studies (9 papers), Neuropeptides and Animal Physiology (8 papers), Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (6 papers) and Animal Behavior and Welfare Studies (5 papers). The work is most often cited by research in Equine (259 citations), Gastroenterology (194 citations), Small Animals (168 citations), Cellular and Molecular Neuroscience (317 citations) and Speech and Hearing (76 citations). Gemma Pearson has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Ole Holger Petersen, Paul K. Flanagan, Yūji Maruyama, N. P. H. Hudson, Ian G. Mayhew, G.M. Lees, Joseph S. Davison, Natalie K. Waran, Yoshifumi Katayama and Carol Hall. Their work appears in journals such as Veterinary Research Communications, Applied Animal Behaviour Science, Equine Veterinary Journal, Journal of Comparative Pathology and Veterinary Record.

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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