M. B. Willis

415 citations
37 papers · 266 · h-index 10

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 15
    • Animal Nutrition and Physiology 9
    • Meat and Animal Product Quality 7
    • Livestock and Poultry Management 3

M. B. Willis

30 papers receiving 209 citations

Peers

M. B. Willis
Comparison fields: 5 of 57
  • Animal Science and Zoology 134
  • Agronomy and Crop Science 71
  • Small Animals 48
  • Genetics 123
  • Equine 5
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Citations per year

Countries citing papers authored by M. B. Willis

Since Specialization
Citations

This map shows the geographic impact of M. 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 M. 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 M. B. Willis more than expected).

Fields of papers citing papers by M. B. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside M. 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 M. B. Willis Line = papers co-authored together M. 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 199951
2 200030
3
Dalton's Introduction to Practical Animal Breeding
199120
4 197919
5 199913
6 196713
7 197411
8 198410
9 196810
10 19689
11
Profitable beef production
19728
12 19678
13 19746
14 19746
15
The German shepherd dog, its history, development, and genetics
19776
16 20005
17 19845
18
Carcass characteristics of various breeds of beef cattle in Cuba.
19703
19
The German Shepherd Dog: A Genetic History
19923
20 19703

About M. B. Willis

M. B. Willis is a scholar working on Genetics, Animal Science and Zoology, Agronomy and Crop Science, Surgery and Small Animals, having authored 37 papers that have together received 266 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (15 papers), Animal Nutrition and Physiology (9 papers), Meat and Animal Product Quality (7 papers), Natural Products and Biological Research (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Reproductive Physiology in Livestock (5 papers), Livestock and Poultry Management (3 papers) and Agricultural and Food Production Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (134 citations), Agronomy and Crop Science (71 citations), Small Animals (48 citations), Genetics (123 citations) and Equine (5 citations). M. B. Willis has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Paul J. Blanchard, T. R. Preston, C. C. Warkup, M. Ellis, Andrew Wilson, P. J. Avery, M. A. Ellis, Peter Rowlinson, K. Barnett and R. Curtis. Their work appears in journals such as Animal Science, Nature, Journal of Small Animal Practice, Veterinary Record and Journal of the Science of Food and Agriculture.

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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