T.‐P. Yu

829 citations
12 papers · 681 · h-index 9

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology
    • Genetic diversity and population structure
    • Growth Hormone and Insulin-like Growth Factors

Papers in

T.‐P. Yu

12 papers receiving 629 citations

Peers

T.‐P. Yu
Comparison fields: 5 of 29
  • Genetics 613
  • Endocrinology, Diabetes and Metabolism 26
  • Endocrine and Autonomic Systems 8
  • Animal Science and Zoology 13
  • Agronomy and Crop Science 12
Replace C. B. Schmitz with:
C. B. Schmitz United States
Leif Andersson Sweden
J. M. Helm United States
Christine A. Ford New Zealand
Thomas Johnson New Zealand
A. M. Ramos United States
Nicolás Jiménez Spain
Dawn J. Howard Ireland
Barbara Rejduch Poland
Jean-Claude Caritez France
T.‐P. Yu relative to C. B. Schmitz United States C. B. Schmitz's profile →
Citations per field
00.5×2×3×4×5×
C. B. Schmitz · 1×
Citations per year

Countries citing papers authored by T.‐P. Yu

Since Specialization
Citations

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

Fields of papers citing papers by T.‐P. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.‐P. Yu. 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 T.‐P. Yu. The network helps show where T.‐P. Yu may publish in the future.

Co-authors

The 16 scholars most cited alongside T.‐P. Yu, 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 T.‐P. Yu Line = papers co-authored together T.‐P. Yu links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1995350
2 199579
3 199864
4 199545
5 200244
6 199325
7 199324
8 200120
9 199415
10 20058
11 20246
12 20251

About T.‐P. Yu

T.‐P. Yu is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Public Health, Environmental and Occupational Health and Nuclear Energy and Engineering, having authored 12 papers that have together received 681 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Research on Leishmaniasis Studies (1 paper), Sperm and Testicular Function (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (613 citations), Endocrinology, Diabetes and Metabolism (26 citations), Endocrine and Autonomic Systems (8 citations), Animal Science and Zoology (13 citations) and Agronomy and Crop Science (12 citations). T.‐P. Yu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Christopher Keith Tuggle, Max F. Rothschild, C. B. Schmitz, Hsiao‐Ching Liu, L. Wang, H. Sunny Sun, J. Klindt, Lloyd Lee Anderson, J. M. Helm and Jeffrey K. Beetham. Their work appears in journals such as Journal of Animal Science, Animal Genetics, Mammalian Genome, Journal of Animal Breeding and Genetics and Journal of Parasitology.

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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