Kee‐Beom Kim
Impact in
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- Oncology top 10%
- Lung Cancer Research Studies
Papers in
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 10
- Cancer-related gene regulation 9
- RNA modifications and cancer 5
- Histone Deacetylase Inhibitors Research 4
- Ubiquitin and proteasome pathways 3
- Oncology 11
- Lung Cancer Research Studies 11
- Co-authors
- Sang‐Beom Seo (14 shared papers)Colin T. Dunn (4 shared papers)Yun‐Cheol Chae (10 shared papers)Jin Woo Park (8 shared papers)Sang-Beom Seo (7 shared papers)Hyun Kook (5 shared papers)Jiyoung Kim (8 shared papers)Dong-Wook Kim (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (4 papers)Nucleic Acids Research (3 papers)FEBS Letters (3 papers)Nature Communications (2 papers)Cell Reports (2 papers)
- Partner nations
- South KoreaUnited StatesSouth Africa
In The Last Decade
Kee‐Beom Kim
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 861
- Oncology 270
- Cancer Research 135
- Epidemiology 154
- Hematology 46
Countries citing papers authored by Kee‐Beom Kim
This map shows the geographic impact of Kee‐Beom 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 Kee‐Beom Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee‐Beom Kim more than expected).
Fields of papers citing papers by Kee‐Beom Kim
This network shows the impact of papers produced by Kee‐Beom 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 Kee‐Beom Kim. The network helps show where Kee‐Beom Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Kee‐Beom 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 117 | |
| 2 | 2019 | 104 | |
| 3 | 2018 | 97 | |
| 4 | 2012 | 80 | |
| 5 | 2011 | 78 | |
| 6 | 2016 | 73 | |
| 7 | 2018 | 70 | |
| 8 | 2009 | 64 | |
| 9 | 2018 | 39 | |
| 10 | 2011 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2015 | 32 | |
| 13 | 2013 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2015 | 28 | |
| 16 | 2014 | 26 | |
| 17 | 2020 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 2018 | 25 | |
| 20 | 2022 | 24 |
About Kee‐Beom Kim
Kee‐Beom Kim is a scholar working on Molecular Biology, Oncology, Epidemiology, Pathology and Forensic Medicine and Cancer Research, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Lung Cancer Research Studies (11 papers), Genomics and Chromatin Dynamics (10 papers), Cancer-related gene regulation (9 papers), RNA modifications and cancer (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Molecular Biology (861 citations), Oncology (270 citations), Cancer Research (135 citations), Epidemiology (154 citations) and Hematology (46 citations). Kee‐Beom Kim has collaborated with scholars based in South Korea, United States and South Africa. Frequent co-authors include Sang‐Beom Seo, Colin T. Dunn, Yun‐Cheol Chae, Jin Woo Park, Sang-Beom Seo, Hyun Kook, Jiyoung Kim, Dong-Wook Kim, Hye-Ju Son and Hae Jin Kee. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nucleic Acids Research, FEBS Letters, Nature Communications and Cell 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.