David Main

6.2k citations
101 papers · 4.8k · h-index 36

Impact in

  • Small Animals top 0.01%
    • Animal Behavior and Welfare Studies
  • Equine top 0.5%
    • Veterinary Equine Medical Research

Papers in

    • Animal Behavior and Welfare Studies 62
    • Human-Animal Interaction Studies 15
    • Genetic and phenotypic traits in livestock 11

David Main

97 papers receiving 4.5k citations

Peers

David Main
Comparison fields: 5 of 147
  • Small Animals 3.3k
  • Equine 339
  • Animal Science and Zoology 1.9k
  • Agronomy and Crop Science 972
  • Speech and Hearing 453
Replace Christoph Winckler with:
Christoph Winckler Austria
Clive Phillips Australia
Linda Keeling Sweden
Xavier Manteca Spain
HR Whay United Kingdom
María José Hötzel Brazil
Kevin J. Stafford New Zealand
T. G. Knowles United Kingdom
Donald M. Broom United Kingdom
A.J.F. Webster United Kingdom
David Main relative to Christoph Winckler Austria Christoph Winckler's profile →
Citations per field
00.5×4.2×
Christoph Winckler · 1×
Citations per year

Countries citing papers authored by David Main

Since Specialization
Citations

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

Fields of papers citing papers by David Main

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003387
2 2007363
3 2005265
4 2009247
5 2010236
6 1998193
7 2010178
8 2003168
9 1998136
10 2012129
11 2017102
12 200389
13 199789
14 200687
15 200181
16 201079
17 201277
18 201376
19 201276
20 200173

About David Main

David Main is a scholar working on Small Animals, Genetics, Animal Science and Zoology, Agronomy and Crop Science and Speech and Hearing, having authored 101 papers that have together received 4.8k indexed citations. Recurring topics across this work include Animal Behavior and Welfare Studies (62 papers), Animal Disease Management and Epidemiology (19 papers), Effects of Environmental Stressors on Livestock (17 papers), Veterinary Practice and Education Studies (16 papers), Human-Animal Interaction Studies (15 papers), Genetic and phenotypic traits in livestock (11 papers), Animal Nutrition and Physiology (11 papers) and Wildlife Ecology and Conservation (7 papers). The work is most often cited by research in Small Animals (3.3k citations), Equine (339 citations), Animal Science and Zoology (1.9k citations), Agronomy and Crop Science (972 citations) and Speech and Hearing (453 citations). David Main has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include HR Whay, James Yeates, Laura Green, A.J.F. Webster, K. A. Leach, Siobhan Mullan, N.J. Bell, Z.E. Barker, S.A. Edwards and Joy Pritchard. Their work appears in journals such as Veterinary Record, The Veterinary Journal, Animal Welfare, Journal of Dairy Science and Animals.

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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