Woo‐Chan Son
Impact in
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- Carcinogens and Genotoxicity Assessment
- MicroRNA in disease regulation
- Hepatology top 10%
Papers in
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- Metabolism, Diabetes, and Cancer 6
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- Carcinogens and Genotoxicity Assessment 7
- MicroRNA in disease regulation 3
- Co-authors
- C. Gopinath (2 shared papers)Jayoung Jeong (7 shared papers)Beom Seok Han (6 shared papers)Wan‐Seob Cho (3 shared papers)Bae-Hwan Kim (4 shared papers)Hyun‐Ji Choi (17 shared papers)Ji‐Young Lee (15 shared papers)Sun-Young Jung (9 shared papers)
- Journals
- Regulatory Toxicology and Pharmacology (6 papers)International Journal of Molecular Sciences (5 papers)Toxicology Letters (5 papers)PLoS ONE (3 papers)International Journal of Nanomedicine (3 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Woo‐Chan Son
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 134
- Hepatology 52
- Biomaterials 96
- Applied Microbiology and Biotechnology 13
- Dermatology 52
Countries citing papers authored by Woo‐Chan Son
This map shows the geographic impact of Woo‐Chan Son'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 Woo‐Chan Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woo‐Chan Son more than expected).
Fields of papers citing papers by Woo‐Chan Son
This network shows the impact of papers produced by Woo‐Chan Son. 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 Woo‐Chan Son. The network helps show where Woo‐Chan Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Woo‐Chan Son, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 82 | |
| 2 | 2017 | 80 | |
| 3 | 2004 | 59 | |
| 4 | 2014 | 46 | |
| 5 | 2014 | 39 | |
| 6 | 2015 | 38 | |
| 7 | 2015 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2018 | 32 | |
| 10 | 2021 | 31 | |
| 11 | 2016 | 30 | |
| 12 | 2010 | 27 | |
| 13 | 2018 | 26 | |
| 14 | 2013 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2014 | 22 | |
| 18 | 2020 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2017 | 20 |
About Woo‐Chan Son
Woo‐Chan Son is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Biomedical Engineering and Surgery, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Animal testing and alternatives (4 papers), Liver physiology and pathology (3 papers), Pancreatic function and diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (134 citations), Hepatology (52 citations), Biomaterials (96 citations), Applied Microbiology and Biotechnology (13 citations) and Dermatology (52 citations). Woo‐Chan Son has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include C. Gopinath, Jayoung Jeong, Beom Seok Han, Wan‐Seob Cho, Bae-Hwan Kim, Hyun‐Ji Choi, Ji‐Young Lee, Sun-Young Jung, Youngro Byun and Seung Woo Chung. Their work appears in journals such as Regulatory Toxicology and Pharmacology, International Journal of Molecular Sciences, Toxicology Letters, PLoS ONE and International Journal of Nanomedicine.
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.