Seok‐Jun Kim
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Galectins and Cancer Biology
Papers in
- Immunology 16
- Galectins and Cancer Biology 10
- Immune cells in cancer 3
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- Signaling Pathways in Disease 3
- Wnt/β-catenin signaling in development and cancer 3
- Biological Activity of Diterpenoids and Biflavonoids 3
- Co-authors
- Kyung‐Hee Chun (18 shared papers)Jiyoung Shin (4 shared papers)Seok Jin Nam (2 shared papers)Ki Woong Sung (2 shared papers)Seok Hee Park (3 shared papers)Young‐Ki Bae (2 shared papers)Won-Jin Kim (9 shared papers)Hyeok-Gu Kang (6 shared papers)
- Journals
- Energies (4 papers)Stem Cell Research (3 papers)Animal Cells and Systems (2 papers)BMB Reports (2 papers)Cancers (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Seok‐Jun Kim
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 273
- Immunology 330
- Molecular Biology 636
- Oncology 196
- Cell Biology 80
Countries citing papers authored by Seok‐Jun Kim
This map shows the geographic impact of Seok‐Jun 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 Seok‐Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok‐Jun Kim more than expected).
Fields of papers citing papers by Seok‐Jun Kim
This network shows the impact of papers produced by Seok‐Jun 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 Seok‐Jun Kim. The network helps show where Seok‐Jun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Seok‐Jun 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 131 | |
| 2 | 2009 | 116 | |
| 3 | 2011 | 109 | |
| 4 | 2018 | 72 | |
| 5 | 2012 | 67 | |
| 6 | 2011 | 66 | |
| 7 | 2016 | 63 | |
| 8 | 2008 | 53 | |
| 9 | 2012 | 46 | |
| 10 | 2021 | 41 | |
| 11 | 2011 | 36 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 29 | |
| 15 | 2021 | 28 | |
| 16 | 2019 | 26 | |
| 17 | 2020 | 24 | |
| 18 | 2020 | 18 | |
| 19 | 2021 | 17 | |
| 20 | 2021 | 17 |
About Seok‐Jun Kim
Seok‐Jun Kim is a scholar working on Immunology, Molecular Biology, Neurology, Cancer Research and Oncology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Signaling Pathways in Disease (3 papers), Immune cells in cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Biological Activity of Diterpenoids and Biflavonoids (3 papers), Peptidase Inhibition and Analysis (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). The work is most often cited by research in Cancer Research (273 citations), Immunology (330 citations), Molecular Biology (636 citations), Oncology (196 citations) and Cell Biology (80 citations). Seok‐Jun Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Kyung‐Hee Chun, Jiyoung Shin, Seok Jin Nam, Ki Woong Sung, Seok Hee Park, Young‐Ki Bae, Won-Jin Kim, Hyeok-Gu Kang, Il Ju Choi and Jung-Hwan Baek. Their work appears in journals such as Energies, Stem Cell Research, Animal Cells and Systems, BMB Reports and Cancers.
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.