Edward Y. Chen
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
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- Renal Diseases and Glomerulopathies 3
-
- Cell Image Analysis Techniques 2
- Co-authors
- Avi Ma’ayanQiaonan DuanChristopher M. TanNeil R. ClarkYan KouGabriela Vaz MeirellesZichen WangHuilei Xu
- Journals
- BMC Bioinformatics (3 papers)Nature Medicine (2 papers)Bioinformatics (2 papers)Journal of the American Society of Nephrology (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Edward Y. Chen
15 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 830
- Molecular Biology 3.4k
- Aging 70
- Immunology 763
- Biological Psychiatry 69
Countries citing papers authored by Edward Y. Chen
This map shows the geographic impact of Edward Y. 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 Edward Y. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Y. Chen more than expected).
Fields of papers citing papers by Edward Y. Chen
This network shows the impact of papers produced by Edward Y. 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 Edward Y. Chen. The network helps show where Edward Y. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Y. 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 | 2021 | 1 | |
| 2 | 2015 | 65 | |
| 3 | 2015 | 3 | |
| 4 | 2014 | 123 | |
| 5 | 2014 | 209 | |
| 6 | 2014 | 40 | |
| 7 | Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool Hit paper breakdown → | 2013 | 4574 |
| 8 | 2013 | 46 | |
| 9 | 2013 | 27 | |
| 10 | 2013 | 89 | |
| 11 | 2012 | 123 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 128 | |
| 14 | 1995 | 26 | |
| 15 | 1981 | 7 |
About Edward Y. Chen
Edward Y. Chen is a scholar working on Nephrology, Biophysics, Molecular Biology, Computational Theory and Mathematics and Genetics, having authored 15 papers that have together received 5.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (4 papers), Single-cell and spatial transcriptomics (3 papers), Renal Diseases and Glomerulopathies (3 papers), Cell Image Analysis Techniques (2 papers), Computational Drug Discovery Methods (2 papers), Gene expression and cancer classification (2 papers) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Cancer Research (830 citations), Molecular Biology (3.4k citations), Aging (70 citations), Immunology (763 citations) and Biological Psychiatry (69 citations). Edward Y. Chen has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Avi Ma’ayan, Qiaonan Duan, Christopher M. Tan, Neil R. Clark, Yan Kou, Gabriela Vaz Meirelles, Zichen Wang, Huilei Xu, Simon Gordonov and Maribel P. Lim. Their work appears in journals such as BMC Bioinformatics, Nature Medicine, Bioinformatics, Journal of the American Society of Nephrology and Journal of Clinical Investigation.
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.