Jake Y. Chen
Impact in
- Biochemistry top 0.2%
- Eicosanoids and Hypertension Pharmacology
- Physiology top 0.2%
- Nitric Oxide and Endothelin Effects
Papers in
-
- Bioinformatics and Genomic Networks 69
- Gene expression and cancer classification 28
- Bone Metabolism and Diseases 21
- Biomedical Text Mining and Ontologies 19
- Gene Regulatory Network Analysis 14
-
- Computational Drug Discovery Methods 32
- Co-authors
- Joseph S. BeckmanPamela A. MarshallBruce Α. FreemanQisheng TuDavid L. KaplanPaloma ValverdeXiaogang WuPéter Tompa
- Journals
- BMC Bioinformatics (11 papers)Journal of Cellular Physiology (8 papers)BMC Genomics (7 papers)Journal of Bone and Mineral Research (5 papers)Biomaterials (5 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Jake Y. Chen
211 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Biochemistry 1.1k
- Physiology 3.8k
- Biophysics 607
- Molecular Biology 6.4k
- Urology 537
Countries citing papers authored by Jake Y. Chen
This map shows the geographic impact of Jake 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 Jake 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 Jake Y. Chen more than expected).
Fields of papers citing papers by Jake Y. Chen
This network shows the impact of papers produced by Jake 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 Jake Y. Chen. The network helps show where Jake Y. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jake 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 20 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 12 | |
| 9 | Bioinformatics analysis of molecular genetic targets and key pathways for hepatocellular carcinoma | 2019 | 2 |
| 10 | 2018 | 2 | |
| 11 | 2016 | 2 | |
| 12 | DMAP: a connectivity map database to enable identification of novel drug repositioning candidates | 2015 | 0 |
| 13 | 2015 | 24 | |
| 14 | 2013 | 5 | |
| 15 | Proceedings of the 11th International Workshop on Data Mining in Bioinformatics | 2012 | 2 |
| 16 | 2011 | 82 | |
| 17 | New privacy threats in healthcare informatics: When medical records join the web | 2010 | 4 |
| 18 | ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining | 2008 | 2 |
| 19 | Database Modeling in Biology: Practices and Challenges | 2007 | 5 |
| 20 | ODM BLAST: Sequence Homology Search in the RDBMS. | 2004 | 7 |
About Jake Y. Chen
Jake Y. Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Urology, Rheumatology and Cancer Research, having authored 223 papers that have together received 14.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (69 papers), Computational Drug Discovery Methods (32 papers), Gene expression and cancer classification (28 papers), Bone Metabolism and Diseases (21 papers), Biomedical Text Mining and Ontologies (19 papers), Bone and Dental Protein Studies (16 papers), Advanced Proteomics Techniques and Applications (15 papers) and Gene Regulatory Network Analysis (14 papers). The work is most often cited by research in Biochemistry (1.1k citations), Physiology (3.8k citations), Biophysics (607 citations), Molecular Biology (6.4k citations) and Urology (537 citations). Jake Y. Chen has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Joseph S. Beckman, Pamela A. Marshall, Bruce Α. Freeman, Qisheng Tu, David L. Kaplan, Paloma Valverde, Xiaogang Wu, Péter Tompa, Pierre Chambon and Sylvie Mader. Their work appears in journals such as BMC Bioinformatics, Journal of Cellular Physiology, BMC Genomics, Journal of Bone and Mineral Research and Biomaterials.
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.