Malcolm B Willis

416 citations
37 papers · 331 · h-index 9

Impact in

Papers in

    • Ruminant Nutrition and Digestive Physiology 7
    • Livestock Farming and Management 5
    • Reproductive Physiology in Livestock 3
    • Genetic and phenotypic traits in livestock 19
    • Human-Animal Interaction Studies 3
    • Ocular Disorders and Treatments 1

Malcolm B Willis

30 papers receiving 266 citations

Peers

Malcolm B Willis
Comparison fields: 5 of 37
  • Animal Science and Zoology 103
  • Agronomy and Crop Science 63
  • Genetics 162
  • Equine 10
  • Small Animals 26
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm B Willis

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm B Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm B Willis. 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 Malcolm B Willis. The network helps show where Malcolm B Willis may publish in the future.

Co-authors

The 14 scholars most cited alongside Malcolm B Willis, 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 Malcolm B Willis Line = papers co-authored together Malcolm B Willis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200159
2 199950
3 200029
4
Dalton's Introduction to Practical Animal Breeding
199121
5 197920
6 196716
7 199913
8 197411
9 196810
10 19689
11
Profitable beef production
19729
12 19849
13
The German shepherd dog, its history, development, and genetics
19778
14 19677
15 19746
16 19746
17 19845
18 20005
19 19694
20 19693

About Malcolm B Willis

Malcolm B Willis is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Small Animals and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 331 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Ruminant Nutrition and Digestive Physiology (7 papers), Meat and Animal Product Quality (6 papers), Livestock Farming and Management (5 papers), Animal Nutrition and Physiology (4 papers), Human-Animal Interaction Studies (3 papers), Reproductive Physiology in Livestock (3 papers) and Ocular Disorders and Treatments (1 paper). The work is most often cited by research in Animal Science and Zoology (103 citations), Agronomy and Crop Science (63 citations), Genetics (162 citations), Equine (10 citations) and Small Animals (26 citations). Malcolm B Willis has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Houpt Ka, Chris C. Warkup, T. Reg Preston, Michael E. Ellis, P. J. Avery, ROGER CURTIS, K. Barnett, Thomas McNee Sutherland, J. P. Chadwick and N. A. MacLeod. Their work appears in journals such as Animal Science, Journal of Small Animal Practice, Nature, Journal of Animal Science and Heredity.

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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