M.D. Utt

883 citations
21 papers · 684 · h-index 13

Impact in

  • Equine top 0.5%
    • Veterinary Equine Medical Research
    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology

Papers in

M.D. Utt

21 papers receiving 649 citations

Peers

M.D. Utt
Comparison fields: 5 of 54
  • Equine 206
  • Agronomy and Crop Science 484
  • Reproductive Medicine 132
  • Animal Science and Zoology 167
  • Small Animals 88
Replace Amal M. Abo El‐Maaty with:
Amal M. Abo El‐Maaty Egypt
M. D. Whitacre United States
Ippolito De Amicis Italy
S. Zduńczyk Poland
John P. Hurtgen United States
José Victor de Oliveira Brazil
M.R. Del Campo United States
Miguel Ángel Lammoglia-Villagómez Mexico
Gy. Huszenicza Hungary
Georgios Tsousis Greece
M.D. Utt relative to Amal M. Abo El‐Maaty Egypt Amal M. Abo El‐Maaty's profile →
Citations per field
00.5×4.8×
Amal M. Abo El‐Maaty · 1×
Citations per year

Countries citing papers authored by M.D. Utt

Since Specialization
Citations

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

Fields of papers citing papers by M.D. Utt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004108
2 200691
3 201089
4 200853
5 200551
6 201548
7 200644
8 200739
9 201830
10 201527
11 200319
12 202318
13 200617
14 201412
15 201910
16 20179
17 20238
18 20175
19 20133
20 20032

About M.D. Utt

M.D. Utt is a scholar working on Agronomy and Crop Science, Genetics, Reproductive Medicine, Public Health, Environmental and Occupational Health and Equine, having authored 21 papers that have together received 684 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (18 papers), Sperm and Testicular Function (8 papers), Genetic and phenotypic traits in livestock (8 papers), Reproductive Biology and Fertility (7 papers), Veterinary Equine Medical Research (5 papers), Effects of Environmental Stressors on Livestock (2 papers), Animal Genetics and Reproduction (2 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Equine (206 citations), Agronomy and Crop Science (484 citations), Reproductive Medicine (132 citations), Animal Science and Zoology (167 citations) and Small Animals (88 citations). M.D. Utt has collaborated with scholars based in United States, Brazil and Malaysia. Frequent co-authors include O.J. Ginther, M.A. Beg, E.L. Gastal, M.O. Gastal, W. E. Beal, Gordon Johnson, J.M. DeJarnette, D.R. Bergfelt, Monica A. Ponder and Javier I. Escobar. Their work appears in journals such as Animal Reproduction Science, Journal of Animal Science, Theriogenology, Journal of Equine Veterinary Science and Biology of Reproduction.

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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