Seong‐Tae Kim
- Cancer Research top 1%
- Molecular Biology top 1%
- DNA Repair Mechanisms 11
- Epigenetics and DNA Methylation 11
- Genomics and Chromatin Dynamics 8
- Cancer-related gene regulation 6
- Oncology top 1%
- Cancer-related Molecular Pathways 10
- Cell Biology top 1%
- Genetics top 2%
- Genetic Associations and Epidemiology 19
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- Prostate Cancer Treatment and Research 20
- Prostate Cancer Diagnosis and Treatment 9
- Co-authors
- Michael B. KastanBo XuDae‐Sik LimChristine E. CanmanJing‐Jer LinRichard S. MaserJohn H.J. PetriniJielin Sun
- Journals
- Biochemical and Biophysical Research Communications (12 papers)Journal of Biological Chemistry (5 papers)The Prostate (5 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Seong‐Tae Kim
141 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 1.6k
- Molecular Biology 5.5k
- Oncology 2.0k
- Cell Biology 840
- Genetics 987
Countries citing papers authored by Seong‐Tae Kim
This map shows the geographic impact of Seong‐Tae 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 Seong‐Tae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong‐Tae Kim more than expected).
Fields of papers citing papers by Seong‐Tae Kim
This network shows the impact of papers produced by Seong‐Tae 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 Seong‐Tae Kim. The network helps show where Seong‐Tae Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seong‐Tae 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2019 | 6 | |
| 3 | 2019 | 17 | |
| 4 | 2018 | 18 | |
| 5 | 2016 | 52 | |
| 6 | Accounting for Ins and Outs of Unemployment in Korea | 2014 | 2 |
| 7 | 2012 | 31 | |
| 8 | 2011 | 7 | |
| 9 | Application of UPOV Data for the Analysis of Genetic Variation in Rose Cultivars | 2011 | 3 |
| 10 | 2011 | 112 | |
| 11 | 2011 | 1 | |
| 12 | 2010 | 14 | |
| 13 | 2010 | 11 | |
| 14 | 2009 | 36 | |
| 15 | 2009 | 58 | |
| 16 | 2008 | 79 | |
| 17 | The Effect of Indwelling Silk Suture Following Aspiration in the Treatment of Chronic Lateral Malleolar Bursitis | 2005 | 1 |
| 18 | 2001 | 446 | |
| 19 | 2001 | 42 | |
| 20 | 대상포진후 신경통의 저출력 레이저치료 | 1992 | 1 |
About Seong‐Tae Kim
Seong‐Tae Kim is a scholar working on Cancer Research, Genetics and Molecular Biology, having authored 154 papers that have together received 7.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (20 papers), Genetic Associations and Epidemiology (19 papers), DNA Repair Mechanisms (11 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related Molecular Pathways (10 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Genomics and Chromatin Dynamics (8 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (5.5k citations) and Oncology (2.0k citations). Seong‐Tae Kim has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Michael B. Kastan, Bo Xu, Dae‐Sik Lim, Christine E. Canman, Jing‐Jer Lin, Richard S. Maser, John H.J. Petrini, Jielin Sun, Won‐Ki Huh and William B. Isaacs. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, The Prostate, Molecular and Cellular Biology and PLoS ONE.
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.