Hak‐Kyo Lee
Impact in
- Animal Science and Zoology top 1%
- Animal Nutrition and Physiology
- Meat and Animal Product Quality
- Genetics top 2%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Meat and Animal Product Quality 15
- Animal Nutrition and Physiology 10
- Genetics 59
- Genetic and phenotypic traits in livestock 45
- Genetic Mapping and Diversity in Plants and Animals 29
- Co-authors
- Ki‐Duk SongHeebal KimKyung Do ParkSeoae ChoDonghyun ShinYoung Mok YangYoun Hee JoungPramod Darvin
- Journals
- Asian-Australasian Journal of Animal Sciences (19 papers)PLoS ONE (13 papers)Journal of Animal Science and Technology (9 papers)Scientific Reports (5 papers)Molecules and Cells (4 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Hak‐Kyo Lee
144 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 134
- Animal Science and Zoology 423
- Genetics 839
- Cancer Research 369
- Equine 36
- Microbiology 132
Countries citing papers authored by Hak‐Kyo Lee
This map shows the geographic impact of Hak‐Kyo Lee'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 Hak‐Kyo Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hak‐Kyo Lee more than expected).
Fields of papers citing papers by Hak‐Kyo Lee
This network shows the impact of papers produced by Hak‐Kyo Lee. 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 Hak‐Kyo Lee. The network helps show where Hak‐Kyo Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hak‐Kyo Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 7 | |
| 12 | Development of Health-Promoting Probiotics and Microbiome for Safety and Functionality of Animal Foods | 2019 | 1 |
| 13 | 2019 | 123 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 17 | |
| 16 | 2016 | 17 | |
| 17 | 2015 | 33 | |
| 18 | 2014 | 19 | |
| 19 | 2013 | 4 | |
| 20 | 2012 | 2 |
About Hak‐Kyo Lee
Hak‐Kyo Lee is a scholar working on Animal Science and Zoology, Genetics, Equine, Toxicology and Cancer Research, having authored 150 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (29 papers), Meat and Animal Product Quality (15 papers), Cancer-related molecular mechanisms research (11 papers), Gut microbiota and health (11 papers), Animal Nutrition and Physiology (10 papers), Probiotics and Fermented Foods (9 papers) and Cytokine Signaling Pathways and Interactions (8 papers). The work is most often cited by research in Animal Science and Zoology (423 citations), Genetics (839 citations), Cancer Research (369 citations), Equine (36 citations) and Microbiology (132 citations). Hak‐Kyo Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Ki‐Duk Song, Heebal Kim, Kyung Do Park, Seoae Cho, Donghyun Shin, Young Mok Yang, Youn Hee Joung, Pramod Darvin, Sung‐Jin Lee and Sung Jong Oh. Their work appears in journals such as Asian-Australasian Journal of Animal Sciences, PLoS ONE, Journal of Animal Science and Technology, Scientific Reports and Molecules and Cells.
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.