Changwon Yoo
Impact in
- Urology top 5%
- Urinary Bladder and Prostate Research
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- Effects and risks of endocrine disrupting chemicals
Papers in
-
- Gene expression and cancer classification 12
- Bioinformatics and Genomic Networks 9
- Gene Regulatory Network Analysis 8
- Co-authors
- Juan P. Liuzzi (6 shared papers)Deodutta Roy (19 shared papers)Gregory F. Cooper (8 shared papers)Quentin Felty (14 shared papers)Luis Ramírez (2 shared papers)Vésteinn Thórsson (1 shared paper)Brian W. Kunkle (2 shared papers)Liang Guo (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)PLoS ONE (4 papers)Molecular Neurobiology (3 papers)Urology (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Changwon Yoo
59 papers receiving 963 citations
Peers
Comparison fields: 5 of 136
- Urology 66
- Health, Toxicology and Mutagenesis 131
- Biological Psychiatry 21
- Cancer Research 97
- Virology 29
Countries citing papers authored by Changwon Yoo
This map shows the geographic impact of Changwon Yoo'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 Changwon Yoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changwon Yoo more than expected).
Fields of papers citing papers by Changwon Yoo
This network shows the impact of papers produced by Changwon Yoo. 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 Changwon Yoo. The network helps show where Changwon Yoo may publish in the future.
Co-authors
The 25 scholars most cited alongside Changwon Yoo, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | 2013 | 68 | |
| 3 | 2014 | 65 | |
| 4 | 2014 | 65 | |
| 5 | 2001 | 59 | |
| 6 | 2015 | 48 | |
| 7 | 2013 | 40 | |
| 8 | 2015 | 37 | |
| 9 | 2013 | 34 | |
| 10 | 2013 | 27 | |
| 11 | 2020 | 21 | |
| 12 | 2020 | 21 | |
| 13 | 2016 | 20 | |
| 14 | 2004 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2015 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2014 | 17 | |
| 19 | 2012 | 16 | |
| 20 | 2010 | 16 |
About Changwon Yoo
Changwon Yoo is a scholar working on Molecular Biology, Cancer Research, Urology, Epidemiology and Artificial Intelligence, having authored 61 papers that have together received 985 indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Bioinformatics and Genomic Networks (9 papers), Urinary Bladder and Prostate Research (8 papers), Gene Regulatory Network Analysis (8 papers), Bayesian Modeling and Causal Inference (7 papers), Pelvic floor disorders treatments (6 papers), Urinary Tract Infections Management (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Urology (66 citations), Health, Toxicology and Mutagenesis (131 citations), Biological Psychiatry (21 citations), Cancer Research (97 citations) and Virology (29 citations). Changwon Yoo has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Juan P. Liuzzi, Deodutta Roy, Gregory F. Cooper, Quentin Felty, Luis Ramírez, Vésteinn Thórsson, Brian W. Kunkle, Liang Guo, Alok Deoraj and Tiffanie Stewart. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Molecular Neurobiology, Urology and Scientific 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.