J. Don Chen
Impact in
- Genetics top 2%
- Estrogen and related hormone effects
- Molecular Biology top 5%
- Retinoids in leukemia and cellular processes
- Ubiquitin and proteasome pathways
- Mitochondrial Function and Pathology
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
Papers in
-
- Retinoids in leukemia and cellular processes 12
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- Histone Deacetylase Inhibitors Research 2
- Genetics 12
- Estrogen and related hormone effects 12
- Co-authors
- Christopher Leo (5 shared papers)Hui Li (6 shared papers)Xiaoyang Wu (3 shared papers)Eunju Park (1 shared paper)Jiang Zhu (1 shared paper)Jennifer O’Neil (1 shared paper)Daniel J. Schroen (2 shared papers)Eun Ju Park (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular and Cellular Biology (2 papers)Blood (2 papers)Gene (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
J. Don Chen
17 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 85
- Genetics 817
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 333
- Endocrinology, Diabetes and Metabolism 210
- Immunology 193
Countries citing papers authored by J. Don Chen
This map shows the geographic impact of J. Don Chen'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 J. Don Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Don Chen more than expected).
Fields of papers citing papers by J. Don Chen
This network shows the impact of papers produced by J. Don Chen. 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 J. Don Chen. The network helps show where J. Don Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Don Chen, 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 | 2000 | 442 | |
| 2 | 2000 | 312 | |
| 3 | 2002 | 239 | |
| 4 | 2003 | 149 | |
| 5 | 2002 | 141 | |
| 6 | 1999 | 120 | |
| 7 | 2000 | 109 | |
| 8 | 1997 | 100 | |
| 9 | 1998 | 77 | |
| 10 | 2001 | 57 | |
| 11 | 2001 | 54 | |
| 12 | 2000 | 48 | |
| 13 | 2002 | 45 | |
| 14 | 2000 | 31 | |
| 15 | Evidence of a retinoid signaling alteration involving the activator protein 1 complex in tumorigenic human bronchial epithelial cells and non-small cell lung cancer cells. | 1997 | 18 |
| 16 | 2001 | 11 | |
| 17 | 2000 | 5 |
About J. Don Chen
J. Don Chen is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Hematology and Immunology, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Retinoids in leukemia and cellular processes (12 papers), Nuclear Receptors and Signaling (4 papers), Acute Myeloid Leukemia Research (3 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Genetics (817 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (333 citations), Endocrinology, Diabetes and Metabolism (210 citations) and Immunology (193 citations). J. Don Chen has collaborated with scholars based in United States and Russia. Frequent co-authors include Christopher Leo, Hui Li, Xiaoyang Wu, Eunju Park, Jiang Zhu, Jennifer O’Neil, Daniel J. Schroen, Eun Ju Park, Hui Li and Hui Li. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Blood and Gene.
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.