M. T. See

1.9k citations
59 papers · 1.5k indexed · h-index 20

Impact in

    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Pharmacological Effects and Assays
    • Effects of Environmental Stressors on Livestock
  • Small Animals top 0.5%
    • Animal Behavior and Welfare Studies

Papers in

    • Animal Nutrition and Physiology 39
    • Meat and Animal Product Quality 22
    • Effects of Environmental Stressors on Livestock 4
    • Animal Behavior and Welfare Studies 23

M. T. See

55 papers receiving 1.4k citations

Peers

M. T. See
Comparison fields: 5 of 94
  • Animal Science and Zoology 926
  • Small Animals 490
  • Agronomy and Crop Science 152
  • Genetics 299
  • Food Science 188
Replace E. Beltranena with:
E. Beltranena Canada
María Ángeles Latorre Górriz Spain
L. G. Young Canada
Luc Maertens Belgium
S.D. Eicher United States
J. Orengo Spain
E. Tůmová Czechia
Zsolt Szendrő Hungary
M. Nisa Pakistan
Susanne Kersten Germany
M. T. See relative to E. Beltranena Canada E. Beltranena's profile →
Citations per field
00.5×1.7×
E. Beltranena · 1×
Citations per year

Countries citing papers authored by M. T. See

Since Specialization
Citations

This map shows the geographic impact of M. T. See'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. T. See with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. See more than expected).

Fields of papers citing papers by M. T. See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20245
4 20245
5 20126
6 20126
7 201161
8 2010114
9 201017
10 200611
11 200618
12 200510
13 200424
14 200419
15 200276
16 200228
17 2002105
18
Evaluating machine and technician effects on ultrasonic measures of backfat and longissimus muscle depth in swine
19980
19 19987
20 199315

About M. T. See

M. T. See is a scholar working on Animal Science and Zoology, Small Animals, Tourism, Leisure and Hospitality Management, Agronomy and Crop Science and Genetics, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (39 papers), Animal Behavior and Welfare Studies (23 papers), Meat and Animal Product Quality (22 papers), Genetic and phenotypic traits in livestock (15 papers), Effects of Environmental Stressors on Livestock (4 papers), Mycotoxins in Agriculture and Food (4 papers), Reproductive Physiology in Livestock (4 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Animal Science and Zoology (926 citations), Small Animals (490 citations), Agronomy and Crop Science (152 citations), Genetics (299 citations) and Food Science (188 citations). M. T. See has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Sung Woo Kim, J. P. Cassady, E. van Heugten, Jack Odle, J A Hansen, L. Averette Gatlin, D.K. Larick, Alexandra C. Weaver, Justin Fix and Todd A. Armstrong. Their work appears in journals such as Journal of Animal Science, Asian-Australasian Journal of Animal Sciences, Livestock Science, Renewable Agriculture and Food Systems and Journal of Muscle Foods.

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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2026