Cho‐Won Kim
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- Pluripotent Stem Cells Research 5
- Wnt/β-catenin signaling in development and cancer 4
- Oncology 10
- Cancer Cells and Metastasis 6
- Co-authors
- Kyung‐Chul Choi (39 shared papers)Ryeo‐Eun Go (27 shared papers)Kyung‐A Hwang (15 shared papers)Hong Kyu Lee (9 shared papers)Seunghee Kim (2 shared papers)Geon‐Tae Park (3 shared papers)Kyuhong Lee (3 shared papers)Ki‐Hoan Nam (3 shared papers)
- Journals
- Environmental Toxicology (5 papers)Reproductive Toxicology (4 papers)Food and Chemical Toxicology (3 papers)Life Sciences (3 papers)Toxicological Research (2 papers)
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Cho‐Won Kim
44 papers receiving 704 citations
Peers
Comparison fields: 5 of 102
- Geriatrics and Gerontology 27
- Applied Microbiology and Biotechnology 11
- Cancer Research 80
- Biochemistry 30
- Molecular Biology 305
Countries citing papers authored by Cho‐Won Kim
This map shows the geographic impact of Cho‐Won Kim'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 Cho‐Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cho‐Won Kim more than expected).
Fields of papers citing papers by Cho‐Won Kim
This network shows the impact of papers produced by Cho‐Won Kim. 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 Cho‐Won Kim. The network helps show where Cho‐Won Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Cho‐Won Kim, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2016 | 50 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 41 | |
| 5 | 2017 | 41 | |
| 6 | 2021 | 35 | |
| 7 | 2022 | 30 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2016 | 21 | |
| 12 | 2016 | 20 | |
| 13 | 2015 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2016 | 19 | |
| 16 | 2016 | 17 | |
| 17 | 2021 | 16 | |
| 18 | 2018 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2018 | 14 |
About Cho‐Won Kim
Cho‐Won Kim is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Health, Toxicology and Mutagenesis, having authored 44 papers that have together received 709 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Cancer Cells and Metastasis (6 papers), Pluripotent Stem Cells Research (5 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Sirtuins and Resveratrol in Medicine (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Geriatrics and Gerontology (27 citations), Applied Microbiology and Biotechnology (11 citations), Cancer Research (80 citations), Biochemistry (30 citations) and Molecular Biology (305 citations). Cho‐Won Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Kyung‐Chul Choi, Ryeo‐Eun Go, Kyung‐A Hwang, Hong Kyu Lee, Seunghee Kim, Geon‐Tae Park, Kyuhong Lee, Ki‐Hoan Nam, Chang Deok Kim and Jeong‐Woo Seo. Their work appears in journals such as Environmental Toxicology, Reproductive Toxicology, Food and Chemical Toxicology, Life Sciences and Toxicological Research.
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.