Dong-Jin Ye
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- S100 Proteins and Annexins
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
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- Epigenetics and DNA Methylation 3
- S100 Proteins and Annexins 3
- Wnt/β-catenin signaling in development and cancer 2
- Retinoids in leukemia and cellular processes 2
- Cell death mechanisms and regulation 2
- Genetics 4
- Co-authors
- Young‐Jin Chun (16 shared papers)Yeo‐Jung Kwon (16 shared papers)Sangyun Shin (9 shared papers)Donghak Kim (4 shared papers)Nahee Park (3 shared papers)Hyung-Kyoon Choi (3 shared papers)Eun-Ah Cho (4 shared papers)Jooeun Lee (2 shared papers)
- Journals
- Drug Metabolism and Pharmacokinetics (3 papers)Journal of Toxicology and Environmental Health (3 papers)Oncotarget (2 papers)Biomolecules & Therapeutics (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- South Korea
In The Last Decade
Dong-Jin Ye
16 papers receiving 322 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 72
- Molecular Biology 214
- Pharmacology 27
- Oncology 83
- Biochemistry 14
Countries citing papers authored by Dong-Jin Ye
This map shows the geographic impact of Dong-Jin Ye'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 Dong-Jin Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong-Jin Ye more than expected).
Fields of papers citing papers by Dong-Jin Ye
This network shows the impact of papers produced by Dong-Jin Ye. 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 Dong-Jin Ye. The network helps show where Dong-Jin Ye may publish in the future.
Co-authors
The 13 scholars most cited alongside Dong-Jin Ye, 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 | 2016 | 102 | |
| 2 | 2013 | 41 | |
| 3 | 2017 | 32 | |
| 4 | 2017 | 28 | |
| 5 | 2016 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2019 | 17 | |
| 8 | 2020 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2018 | 10 | |
| 11 | 2013 | 9 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2017 | 1 |
About Dong-Jin Ye
Dong-Jin Ye is a scholar working on Molecular Biology, Genetics, Cancer Research, Organic Chemistry and Oncology, having authored 16 papers that have together received 327 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), S100 Proteins and Annexins (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Synthesis and biological activity (2 papers), Retinoids in leukemia and cellular processes (2 papers), Click Chemistry and Applications (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Cancer Research (72 citations), Molecular Biology (214 citations), Pharmacology (27 citations), Oncology (83 citations) and Biochemistry (14 citations). Dong-Jin Ye has collaborated with scholars based in South Korea. Frequent co-authors include Young‐Jin Chun, Yeo‐Jung Kwon, Sangyun Shin, Donghak Kim, Nahee Park, Hyung-Kyoon Choi, Eun-Ah Cho, Jooeun Lee, Aree Moon and Kyungsoo Oh. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Journal of Toxicology and Environmental Health, Oncotarget, Biomolecules & Therapeutics and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.