Young Do Koo
Impact in
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- Effects and risks of endocrine disrupting chemicals
- Toxic Organic Pollutants Impact
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- Carcinogens and Genotoxicity Assessment
Papers in
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- Peroxisome Proliferator-Activated Receptors 4
- Ubiquitin and proteasome pathways 3
- Retinoids in leukemia and cellular processes 2
- Metabolism, Diabetes, and Cancer 2
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- Adipose Tissue and Metabolism 4
- Co-authors
- Kyong Soo Park (11 shared papers)Young Joo Park (10 shared papers)Man Gyun Na (7 shared papers)Hak Chul Jang (4 shared papers)Min Joo Kim (2 shared papers)Sung Soo Chung (8 shared papers)Min Kyong Moon (3 shared papers)Soon Hee Kim (1 shared paper)
- Journals
- Nuclear Engineering and Technology (4 papers)Experimental & Molecular Medicine (2 papers)Metabolism (1 paper)Diabetes & Metabolism Journal (1 paper)Cell Reports (1 paper)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Young Do Koo
21 papers receiving 572 citations
Peers
Comparison fields: 5 of 104
- Health, Toxicology and Mutagenesis 149
- Cancer Research 72
- Statistics, Probability and Uncertainty 33
- Signal Processing 43
- Small Animals 23
Countries citing papers authored by Young Do Koo
This map shows the geographic impact of Young Do Koo'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 Young Do Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young Do Koo more than expected).
Fields of papers citing papers by Young Do Koo
This network shows the impact of papers produced by Young Do Koo. 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 Young Do Koo. The network helps show where Young Do Koo may publish in the future.
Co-authors
The 25 scholars most cited alongside Young Do Koo, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 183 | |
| 2 | 2018 | 54 | |
| 3 | 2015 | 53 | |
| 4 | 2018 | 36 | |
| 5 | 2018 | 33 | |
| 6 | 2019 | 27 | |
| 7 | 2016 | 26 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 23 | |
| 10 | 2017 | 19 | |
| 11 | 2022 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 6 | |
| 18 | 2009 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2017 | 3 |
About Young Do Koo
Young Do Koo is a scholar working on Molecular Biology, Physiology, Aerospace Engineering, Cancer Research and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 583 indexed citations. Recurring topics across this work include Nuclear Engineering Thermal-Hydraulics (4 papers), Adipose Tissue and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Ubiquitin and proteasome pathways (3 papers), Risk and Safety Analysis (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Retinoids in leukemia and cellular processes (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (149 citations), Cancer Research (72 citations), Statistics, Probability and Uncertainty (33 citations), Signal Processing (43 citations) and Small Animals (23 citations). Young Do Koo has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Kyong Soo Park, Young Joo Park, Man Gyun Na, Hak Chul Jang, Min Joo Kim, Sung Soo Chung, Min Kyong Moon, Soon Hee Kim, Yeo Cho Yoon and Young-Chul Yoon. Their work appears in journals such as Nuclear Engineering and Technology, Experimental & Molecular Medicine, Metabolism, Diabetes & Metabolism Journal and Cell Reports.
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.