Woo‐Chan Son
Impact in
-
- Carcinogens and Genotoxicity Assessment
- MicroRNA in disease regulation
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Metabolism, Diabetes, and Cancer 7
-
- Carcinogens and Genotoxicity Assessment 7
- Co-authors
- C. Gopinath (2 shared papers)Jayoung Jeong (7 shared papers)Beom Seok Han (6 shared papers)Bae-Hwan Kim (4 shared papers)Wan‐Seob Cho (3 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)Scientific Reports (3 papers)Archives of Toxicology (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Woo‐Chan Son
95 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 156
- Biomaterials 109
- Applied Microbiology and Biotechnology 16
- Hepatology 57
- Pharmacology 59
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 | 58 | |
| 4 | 2014 | 46 | |
| 5 | 2014 | 39 | |
| 6 | 2015 | 38 | |
| 7 | 2015 | 35 | |
| 8 | 2018 | 33 | |
| 9 | 2018 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2016 | 29 | |
| 12 | 2010 | 27 | |
| 13 | 2013 | 26 | |
| 14 | 2018 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2018 | 23 | |
| 17 | 2014 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2017 | 19 | |
| 20 | 2018 | 19 |
About Woo‐Chan Son
Woo‐Chan Son is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (7 papers), Carcinogens and Genotoxicity Assessment (7 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Pancreatic function and diabetes (4 papers), Animal testing and alternatives (4 papers), Liver Disease and Transplantation (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Cancer Research (156 citations), Biomaterials (109 citations), Applied Microbiology and Biotechnology (16 citations), Hepatology (57 citations) and Pharmacology (59 citations). Woo‐Chan Son has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include C. Gopinath, Jayoung Jeong, Beom Seok Han, Bae-Hwan Kim, Wan‐Seob Cho, 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, Scientific Reports and Archives of Toxicology.
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.