R.S. Youngquist

6.6k citations
109 papers · 5.0k · h-index 42

Impact in

Papers in

    • Reproductive Physiology in Livestock 75
    • Ruminant Nutrition and Digestive Physiology 5
    • Genetic and phenotypic traits in livestock 28

R.S. Youngquist

107 papers receiving 4.7k citations

Peers

R.S. Youngquist
Comparison fields: 5 of 138
  • Agronomy and Crop Science 3.0k
  • Equine 150
  • Reproductive Medicine 603
  • Genetics 1.8k
  • Small Animals 460
Replace Robert Robinson with:
Robert Robinson United Kingdom
Fabrizio Ceciliani Italy
Jordi Roca Spain
Inmaculada Parrilla Spain
Y. Yoshimura Japan
Jane M. Morrell Sweden
Changfa Wang China
B.L. Larson United States
P. Manjunath Canada
Patrice Martin France
R.S. Youngquist relative to Robert Robinson United Kingdom Robert Robinson's profile →
Citations per field
00.5×4.3×
Robert Robinson · 1×
Citations per year

Countries citing papers authored by R.S. Youngquist

Since Specialization
Citations

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

Fields of papers citing papers by R.S. Youngquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.S. Youngquist. 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 R.S. Youngquist. The network helps show where R.S. Youngquist may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007361
2 1995337
3 1993244
4 1997211
5 1999205
6 1995179
7 1995152
8 2000119
9 1977118
10 1995116
11 2007111
12 2012106
13 201187
14 197585
15 201184
16 200383
17 200878
18 197577
19 199374
20 199871

About R.S. Youngquist

R.S. Youngquist is a scholar working on Agronomy and Crop Science, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Reproductive Medicine, having authored 109 papers that have together received 5.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (75 papers), Genetic and phenotypic traits in livestock (28 papers), Reproductive Biology and Fertility (22 papers), Advanced biosensing and bioanalysis techniques (6 papers), Sperm and Testicular Function (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Veterinary Equine Medical Research (6 papers) and Ruminant Nutrition and Digestive Physiology (5 papers). The work is most often cited by research in Agronomy and Crop Science (3.0k citations), Equine (150 citations), Reproductive Medicine (603 citations), Genetics (1.8k citations) and Small Animals (460 citations). R.S. Youngquist has collaborated with scholars based in United States, China and India. Frequent co-authors include H.A. Garverick, T. Keough, Martin P. Lacey, W.R. Threlfall, C.J. Bierschwal, M. F. Smith, R.G. Elmore, B. E. Salfen, Stacey Hamilton and George W. Smith. Their work appears in journals such as Theriogenology, Journal of Animal Science, Journal of Dairy Science, Biology of Reproduction and Journal of the American Veterinary Medical Association.

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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