Deborah Goodwin

35 papers receiving 1.2k citations

Peers

Deborah Goodwin
Comparison fields: 5 of 107
  • Equine 492
  • Small Animals 501
  • Animal Science and Zoology 215
  • Genetics 509
  • Speech and Hearing 95
Replace Emanuela Dalla Costa with:
Emanuela Dalla Costa Italy
M. Albertini Italy
Sarah Wolfensohn United Kingdom
R. M. Enns United States
G Bono Italy
Claudio Sighieri Italy
K. G. Johnson Australia
Pier Attilio Accorsi Italy
Dirk Lebelt Italy
Camie Heleski United States
Deborah Goodwin relative to Emanuela Dalla Costa Italy Emanuela Dalla Costa's profile →
Citations per field
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Emanuela Dalla Costa · 1×
Citations per year

Countries citing papers authored by Deborah Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978263
2 1997112
3 2008107
4 199695
5 200576
6 200258
7 200956
8 199652
9 200950
10 200845
11 200843
12 200742
13 200539
14 200638
15 201136
16 199934
17 200430
18 200927
19 200815
20 200714

About Deborah Goodwin

Deborah Goodwin is a scholar working on Equine, Genetics, Small Animals, Animal Science and Zoology and Cell Biology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (22 papers), Human-Animal Interaction Studies (13 papers), Animal Behavior and Welfare Studies (10 papers), Meat and Animal Product Quality (7 papers), Muscle metabolism and nutrition (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Sports Performance and Training (5 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Equine (492 citations), Small Animals (501 citations), Animal Science and Zoology (215 citations), Genetics (509 citations) and Speech and Hearing (95 citations). Deborah Goodwin has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include John W.S. Bradshaw, Patricia A. Harris, H.P.B. Davidson, Asher Ornoy, S. Edelstein, Dina Noff, Edward S. Redhead, Matthew O. Parker, S Wickens and Natalie Waran. Their work appears in journals such as Applied Animal Behaviour Science, Journal of Applied Animal Welfare Science, Animal Welfare, Behavioural Brain Research and Equine Veterinary Journal.

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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