Jun Koo Yi
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
-
- Reproductive Physiology in Livestock 10
- Co-authors
- Jinping Cheng (7 shared papers)Jeanette M. Rotchell (2 shared papers)Liyuan Qiang (2 shared papers)Xiaotong Zhu (2 shared papers)Zhifeng Gao (1 shared paper)Junliang Zhou (1 shared paper)Jae Jung Ha (25 shared papers)Dae Hyun Kim (17 shared papers)
- Journals
- Journal of Animal Science and Technology (4 papers)Ecotoxicology (2 papers)Theriogenology (2 papers)Reproductive Toxicology (2 papers)Frontiers in Marine Science (2 papers)
- Partner nations
- South KoreaChinaHong Kong
In The Last Decade
Jun Koo Yi
67 papers receiving 912 citations
Peers
Comparison fields: 5 of 105
- Pollution 131
- Cancer Research 106
- Health, Toxicology and Mutagenesis 91
- Reproductive Medicine 42
- Immunology 99
Countries citing papers authored by Jun Koo Yi
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
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.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2015 | 80 | |
| 3 | 2016 | 71 | |
| 4 | 2015 | 66 | |
| 5 | 2011 | 46 | |
| 6 | 2019 | 45 | |
| 7 | 2019 | 36 | |
| 8 | 2023 | 30 | |
| 9 | 2012 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2021 | 27 | |
| 12 | 2021 | 26 | |
| 13 | 2018 | 24 | |
| 14 | 2018 | 22 | |
| 15 | 2016 | 22 | |
| 16 | 2022 | 19 | |
| 17 | 2012 | 18 | |
| 18 | 2019 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2021 | 15 |
About Jun Koo Yi
Jun Koo Yi is a scholar working on Molecular Biology, Agronomy and Crop Science, Genetics, Animal Science and Zoology and Public Health, Environmental and Occupational Health, having authored 74 papers that have together received 923 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (10 papers), Reproductive Biology and Fertility (8 papers), Genetic and phenotypic traits in livestock (7 papers), Sperm and Testicular Function (5 papers), Food Quality and Safety Studies (4 papers), MicroRNA in disease regulation (4 papers), Anesthesia and Pain Management (4 papers) and Effects of Environmental Stressors on Livestock (4 papers). The work is most often cited by research in Pollution (131 citations), Cancer Research (106 citations), Health, Toxicology and Mutagenesis (91 citations), Reproductive Medicine (42 citations) and Immunology (99 citations). Jun Koo Yi has collaborated with scholars based in South Korea, China and Hong Kong. Frequent co-authors include Jinping Cheng, Jeanette M. Rotchell, Liyuan Qiang, Xiaotong Zhu, Zhifeng Gao, Junliang Zhou, Jae Jung Ha, Dae Hyun Kim, Zae Young Ryoo and Yuzhou Wang. Their work appears in journals such as Journal of Animal Science and Technology, Ecotoxicology, Theriogenology, Reproductive Toxicology and Frontiers in Marine Science.
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.