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
- Oncology 18
- Cancer-related Molecular Pathways 9
- Cancer Cells and Metastasis 6
- Chemokine receptors and signaling 3
-
- Angiogenesis and VEGF in Cancer 4
- Genomics and Chromatin Dynamics 4
- Ubiquitin and proteasome pathways 3
- Co-authors
- Aleksander S. PopelSaraswati SukumarEileen FriedmanNiranjan B. PandeyDaina Z. EwtonSunju ParkStephen E. MercerZhongfa Yan
- Journals
- Cancer Research (6 papers)Journal of Biological Chemistry (4 papers)Oncotarget (3 papers)Breast Cancer Research (2 papers)Cancer Discovery (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Kideok Jin
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Oncology 580
- Cancer Research 310
- Molecular Biology 864
- Immunology and Allergy 52
- Immunology 176
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 19 | |
| 3 | 2023 | 6 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 71 | |
| 6 | 2018 | 47 | |
| 7 | 2018 | 34 | |
| 8 | 2017 | 20 | |
| 9 | 2016 | 37 | |
| 10 | 2016 | 16 | |
| 11 | 2015 | 67 | |
| 12 | 2014 | 57 | |
| 13 | 2014 | 164 | |
| 14 | 2013 | 76 | |
| 15 | 2012 | 15 | |
| 16 | 2010 | 8 | |
| 17 | 2009 | 45 | |
| 18 | 2005 | 14 | |
| 19 | 2002 | 64 | |
| 20 | 2002 | 194 |
About Kideok Jin
Kideok Jin is a scholar working on Oncology, Molecular Biology, Cancer Research, Biotechnology and Genetics, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Cancer Cells and Metastasis (6 papers), Estrogen and related hormone effects (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Genomics and Chromatin Dynamics (4 papers), Advanced Breast Cancer Therapies (3 papers), Chemokine receptors and signaling (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Oncology (580 citations), Cancer Research (310 citations), Molecular Biology (864 citations), Immunology and Allergy (52 citations) and Immunology (176 citations). Kideok Jin has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Aleksander S. Popel, Saraswati Sukumar, Eileen Friedman, Niranjan B. Pandey, Daina Z. Ewton, Sunju Park, Stephen E. Mercer, 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 Cancer Discovery.
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.