Peter Wynn

2.9k citations
103 papers · 2.3k · h-index 26

Impact in

Papers in

    • Milk Quality and Mastitis in Dairy Cows 13
    • Reproductive Physiology in Livestock 13
    • Ruminant Nutrition and Digestive Physiology 12
    • Livestock Management and Performance Improvement 11
    • Genetic and phenotypic traits in livestock 12

Peter Wynn

98 papers receiving 2.2k citations

Peers

Peter Wynn
Comparison fields: 5 of 133
  • Behavioral Neuroscience 726
  • Biological Psychiatry 134
  • Agronomy and Crop Science 463
  • Equine 74
  • Animal Science and Zoology 313
Replace Venkataseshu K. Ganjam with:
Venkataseshu K. Ganjam United States
Gregor Majdič Slovenia
J. L. Sartin United States
W.R. Butler United States
Janice M. Bahr United States
Chandana Haldar India
Linda Kooistra United States
Sandra Schläfke United States
Ricardo S. Calandra Argentina
Laura L. Hernandez United States
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Citations per field
00.5×9.6×
Venkataseshu K. Ganjam · 1×
Citations per year

Countries citing papers authored by Peter Wynn

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984174
2 1985142
3 1983140
4 2004119
5 201599
6 198777
7 198867
8 198665
9 201164
10 198455
11 200053
12 200452
13 201544
14 200944
15 198743
16 198640
17 198439
18 201838
19 200138
20 198537

About Peter Wynn

Peter Wynn is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Molecular Biology and Nutrition and Dietetics, having authored 103 papers that have together received 2.3k indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (13 papers), Reproductive Physiology in Livestock (13 papers), Genetic and phenotypic traits in livestock (12 papers), Stress Responses and Cortisol (12 papers), Ruminant Nutrition and Digestive Physiology (12 papers), Livestock Management and Performance Improvement (11 papers), Meat and Animal Product Quality (11 papers) and Infant Nutrition and Health (8 papers). The work is most often cited by research in Behavioral Neuroscience (726 citations), Biological Psychiatry (134 citations), Agronomy and Crop Science (463 citations), Equine (74 citations) and Animal Science and Zoology (313 citations). Peter Wynn has collaborated with scholars based in Australia, United States and Pakistan. Frequent co-authors include Kevin Catt, Greti Aguilera, James P. Harwood, Mónica Millán, Richard L. Hauger, Mária Nikodémová, John L. Morell, H. M. Warriach, David McGill and G. Aguilera. Their work appears in journals such as Animal Production Science, Meat Science, Journal of Dairy Research, Sustainability and Endocrinology.

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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