Kideok Jin
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 3
- Angiogenesis and VEGF in Cancer 3
- Oncology 15
- Cancer-related Molecular Pathways 6
- Cancer Cells and Metastasis 5
- Chemokine receptors and signaling 3
- Co-authors
- Aleksander S. Popel (5 shared papers)Saraswati Sukumar (13 shared papers)Eileen Friedman (5 shared papers)Niranjan B. Pandey (4 shared papers)Daina Z. Ewton (3 shared papers)Stephen E. Mercer (2 shared papers)Sunju Park (7 shared papers)Zhongfa Yan (1 shared paper)
- Journals
- Cancer Research (6 papers)Journal of Biological Chemistry (4 papers)Oncotarget (3 papers)Breast Cancer Research (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesChinaHungary
In The Last Decade
Kideok Jin
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Oncology 522
- Cancer Research 268
- Molecular Biology 782
- Immunology and Allergy 46
- Immunology 164
Countries citing papers authored by Kideok Jin
This map shows the geographic impact of Kideok Jin'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 Kideok Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kideok Jin more than expected).
Fields of papers citing papers by Kideok Jin
This network shows the impact of papers produced by Kideok Jin. 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 Kideok Jin. The network helps show where Kideok Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kideok Jin, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 194 | |
| 2 | 2014 | 166 | |
| 3 | 2011 | 100 | |
| 4 | 2013 | 76 | |
| 5 | 2018 | 72 | |
| 6 | 2015 | 68 | |
| 7 | 2002 | 64 | |
| 8 | 2014 | 58 | |
| 9 | 2018 | 50 | |
| 10 | 2017 | 46 | |
| 11 | 2003 | 45 | |
| 12 | 2009 | 45 | |
| 13 | 2007 | 44 | |
| 14 | 2016 | 37 | |
| 15 | 2018 | 37 | |
| 16 | 2016 | 33 | |
| 17 | 2016 | 32 | |
| 18 | 2020 | 29 | |
| 19 | 2023 | 21 | |
| 20 | 2017 | 20 |
About Kideok Jin
Kideok Jin is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Immunology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cancer Cells and Metastasis (5 papers), Estrogen and related hormone effects (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Chemokine receptors and signaling (3 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (522 citations), Cancer Research (268 citations), Molecular Biology (782 citations), Immunology and Allergy (46 citations) and Immunology (164 citations). Kideok Jin has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Aleksander S. Popel, Saraswati Sukumar, Eileen Friedman, Niranjan B. Pandey, Daina Z. Ewton, Stephen E. Mercer, Sunju Park, Zhongfa Yan, Elana J. Fertig and Esak Lee. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Oncotarget, Breast Cancer Research and Nature Communications.
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.