Jun Koo Yi

1.2k citations
73 papers · 875 · h-index 17

Impact in

  • Pollution top 10%
    • Pharmaceutical and Antibiotic Environmental Impacts
    • Microplastics and Plastic Pollution
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Jun Koo Yi

62 papers receiving 863 citations

Peers

Jun Koo Yi
Comparison fields: 5 of 108
  • Pollution 130
  • Cancer Research 123
  • Health, Toxicology and Mutagenesis 90
  • Immunology 115
  • Reproductive Medicine 45
Replace Xiaoyan Jiao with:
Xiaoyan Jiao China
Haizhen Wang China
Chunxiao Liu China
Peng Lv China
Yanhua Yang China
An‐Sik Chung South Korea
Xing Lü China
Xuhong Chang China
Qianru Chi China
Jun Koo Yi relative to Xiaoyan Jiao China Xiaoyan Jiao's profile →
Citations per field
00.5×4.5×
Xiaoyan Jiao · 1×
Citations per year

Countries citing papers authored by Jun Koo Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Koo Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Koo Yi. 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 Koo Yi. The network helps show where Jun Koo Yi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016104
2 201577
3 201670
4 201563
5 201145
6 201944
7 201935
8 201230
9 202329
10 202126
11 201824
12 202024
13 202123
14 201822
15 201621
16 202218
17 201218
18 201916
19 202015
20 202115

About Jun Koo Yi

Jun Koo Yi is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Animal Science and Zoology and Immunology, having authored 73 papers that have together received 875 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (9 papers), Reproductive Physiology in Livestock (9 papers), Reproductive Biology and Fertility (8 papers), Food Quality and Safety Studies (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Sperm and Testicular Function (5 papers), MicroRNA in disease regulation (4 papers) and Anesthesia and Pain Management (4 papers). The work is most often cited by research in Pollution (130 citations), Cancer Research (123 citations), Health, Toxicology and Mutagenesis (90 citations), Immunology (115 citations) and Reproductive Medicine (45 citations). Jun Koo Yi has collaborated with scholars based in South Korea, China and Taiwan. Frequent co-authors include Jinping Cheng, Jeanette M. Rotchell, Liyuan Qiang, Xiaotong Zhu, Zhifeng Gao, Junliang Zhou, Jae Jung Ha, Dae Hyun Kim, Qiang Zhang and Ying Zhang. Their work appears in journals such as Journal of Animal Science and Technology, Theriogenology, Ecotoxicology, Reproductive Toxicology and Journal of Biological Chemistry.

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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