Kichoon Lee
Impact in
-
- Regulation of Appetite and Obesity
- Physiology top 2%
- Adipose Tissue and Metabolism
Papers in
- Genetics 45
- Animal Genetics and Reproduction 27
- Genetic Syndromes and Imprinting 11
- Physiology 37
- Adipose Tissue and Metabolism 37
- Co-authors
- Yang Soo Moon (5 shared papers)Kee‐Hong Kim (5 shared papers)Hei Sook Sul (5 shared papers)Yeunsu Suh (32 shared papers)Joonbum Lee (35 shared papers)Josep A. Villena (3 shared papers)Dong‐Hwan Kim (36 shared papers)Jinsoo Ahn (28 shared papers)
- Journals
- Poultry Science (19 papers)PLoS ONE (7 papers)International Journal of Molecular Sciences (6 papers)Animals (5 papers)Journal of Animal Science (4 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Kichoon Lee
114 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 109
- Endocrine and Autonomic Systems 331
- Physiology 849
- Animal Science and Zoology 305
- Genetics 768
- Epidemiology 664
Countries citing papers authored by Kichoon Lee
This map shows the geographic impact of Kichoon 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 Kichoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kichoon Lee more than expected).
Fields of papers citing papers by Kichoon Lee
This network shows the impact of papers produced by Kichoon 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 Kichoon Lee. The network helps show where Kichoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Kichoon 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
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 509 | |
| 2 | 2002 | 391 | |
| 3 | 2003 | 229 | |
| 4 | 2004 | 125 | |
| 5 | 2019 | 83 | |
| 6 | 2019 | 60 | |
| 7 | 2012 | 56 | |
| 8 | 2008 | 56 | |
| 9 | 2020 | 51 | |
| 10 | 2019 | 44 | |
| 11 | 2013 | 39 | |
| 12 | 2006 | 35 | |
| 13 | 2012 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2016 | 31 | |
| 16 | 2020 | 31 | |
| 17 | 1991 | 31 | |
| 18 | 2015 | 29 | |
| 19 | 2014 | 29 | |
| 20 | 2019 | 28 |
About Kichoon Lee
Kichoon Lee is a scholar working on Genetics, Physiology, Animal Science and Zoology, Molecular Biology and Biochemistry, having authored 120 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (37 papers), Animal Genetics and Reproduction (27 papers), Animal Nutrition and Physiology (20 papers), Muscle Physiology and Disorders (18 papers), Lipid metabolism and biosynthesis (16 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), CRISPR and Genetic Engineering (11 papers) and Genetic Syndromes and Imprinting (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (331 citations), Physiology (849 citations), Animal Science and Zoology (305 citations), Genetics (768 citations) and Epidemiology (664 citations). Kichoon Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yang Soo Moon, Kee‐Hong Kim, Hei Sook Sul, Yeunsu Suh, Joonbum Lee, Josep A. Villena, Dong‐Hwan Kim, Jinsoo Ahn, Sangsu Shin and Young Min Choi. Their work appears in journals such as Poultry Science, PLoS ONE, International Journal of Molecular Sciences, Animals and Journal of Animal 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.