Jun-Kyu Son

548 citations
34 papers · 379 · h-index 10

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 14
    • Genetic Mapping and Diversity in Plants and Animals 5
    • Reproductive Physiology in Livestock 7
    • Ruminant Nutrition and Digestive Physiology 4

Jun-Kyu Son

27 papers receiving 366 citations

Peers

Jun-Kyu Son
Comparison fields: 5 of 61
  • Animal Science and Zoology 152
  • Agronomy and Crop Science 133
  • Small Animals 87
  • Equine 14
  • Genetics 117
Replace András Gáspárdy with:
András Gáspárdy Hungary
Manas Kumar Patra India
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Mohammed Shamsuddin Bangladesh
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Ceyhan Özbeyaz Türkiye
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Mukund A. Kataktalware India
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Citations per field
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Citations per year

Countries citing papers authored by Jun-Kyu Son

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Kyu Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Kyu Son. 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 Jun-Kyu Son. The network helps show where Jun-Kyu Son may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 202156
3 199650
4 202032
5 201431
6 202022
7 201814
8 202111
9 201411
10 20189
11 20208
12 20228
13 20118
14 20177
15 20006
16 20193
17
A Survey of Disease Occurrence in Korean Black Goats
20123
18 20203
19 20173
20 20192

About Jun-Kyu Son

Jun-Kyu Son is a scholar working on Genetics, Agronomy and Crop Science, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Nutrition and Dietetics, having authored 34 papers that have together received 379 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Effects of Environmental Stressors on Livestock (8 papers), Reproductive Physiology in Livestock (7 papers), Nutrition, Health and Food Behavior (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Agriculture, Soil, Plant Science (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Animal Science and Zoology (152 citations), Agronomy and Crop Science (133 citations), Small Animals (87 citations), Equine (14 citations) and Genetics (117 citations). Jun-Kyu Son has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include L. L. Larson, R.J. Grant, Eung-Gi Kwon, Eun Tae Kim, Kyung‐Il Sung, Jayant Lohakare, J.W. West, Jalil Ghassemi Nejad, Dong Hyeon Kim and Bon‐Hee Gu. Their work appears in journals such as Animals, Journal of Animal Science and Technology, Asian-Australasian Journal of Animal Sciences, Reproduction Fertility and Development and PLoS ONE.

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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