T.F. Davison

2.7k citations
68 papers · 2.3k · h-index 29

Impact in

Papers in

T.F. Davison

67 papers receiving 2.1k citations

Peers

T.F. Davison
Comparison fields: 5 of 73
  • Animal Science and Zoology 1.2k
  • Behavioral Neuroscience 92
  • Immunology 429
  • Small Animals 178
  • Endocrinology, Diabetes and Metabolism 266
Replace Patrick Chardon with:
Patrick Chardon France
Robert L Taylor Jr United States
Theresa Casey United States
Jan J. van der Poel Netherlands
Alex Szenberg Australia
Richard A. French United States
James N. Petitte United States
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T.F. Davison relative to Patrick Chardon France Patrick Chardon's profile →
Citations per field
00.5×2×4×5.7×
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Citations per year

Countries citing papers authored by T.F. Davison

Since Specialization
Citations

This map shows the geographic impact of T.F. Davison'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 T.F. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.F. Davison more than expected).

Fields of papers citing papers by T.F. Davison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.F. Davison. 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 T.F. Davison. The network helps show where T.F. Davison may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995102
2 200494
3 197985
4 200680
5 200376
6 199674
7 199672
8 200268
9 199762
10 199461
11 200560
12 198558
13 199158
14 200057
15 198356
16 199856
17 200155
18 200954
19 198551
20 200550

About T.F. Davison

T.F. Davison is a scholar working on Animal Science and Zoology, Endocrinology, Diabetes and Metabolism, Immunology, Behavioral Neuroscience and Oncology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (23 papers), T-cell and B-cell Immunology (11 papers), Thyroid Disorders and Treatments (11 papers), Adrenal Hormones and Disorders (7 papers), Viral-associated cancers and disorders (7 papers), Immunotoxicology and immune responses (6 papers), Animal Nutrition and Physiology (6 papers) and Stress Responses and Cortisol (6 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Behavioral Neuroscience (92 citations), Immunology (429 citations), Small Animals (178 citations) and Endocrinology, Diabetes and Metabolism (266 citations). T.F. Davison has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Shane C. Burgess, John R. Young, Lonneke Vervelde, Susan J. Baigent, C A Tregaskes, David R. Withers, J. G. Rowell, Bas J. G. Baaten, Stephen A K Harvey and I.H. Flack. Their work appears in journals such as General and Comparative Endocrinology, Avian Pathology, Research in Veterinary Science, Veterinary Immunology and Immunopathology and British Poultry 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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