Chen‐Hsiang Yeang
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Chromatin Dynamics
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
- Modeling and Simulation top 10%
Papers in
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- Bioinformatics and Genomic Networks 11
- Gene Regulatory Network Analysis 8
- Genomics and Chromatin Dynamics 6
- Protein Structure and Dynamics 4
- Microbial Metabolic Engineering and Bioproduction 4
- Gene expression and cancer classification 3
- Co-authors
- Tommi Jaakkola (6 shared papers)Trey Ideker (2 shared papers)Pablo Tamayo (3 shared papers)Sayan Mukherjee (2 shared papers)Jill P. Mesirov (2 shared papers)Eric S. Lander (2 shared papers)Ryan Rifkin (2 shared papers)Sridhar Ramaswamy (2 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Computational Biology (2 papers)BMC Bioinformatics (2 papers)PLoS Computational Biology (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chen‐Hsiang Yeang
35 papers receiving 740 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 564
- Modeling and Simulation 22
- Biophysics 20
- Cancer Research 46
- Genetics 72
Countries citing papers authored by Chen‐Hsiang Yeang
This map shows the geographic impact of Chen‐Hsiang Yeang'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 Chen‐Hsiang Yeang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐Hsiang Yeang more than expected).
Fields of papers citing papers by Chen‐Hsiang Yeang
This network shows the impact of papers produced by Chen‐Hsiang Yeang. 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 Chen‐Hsiang Yeang. The network helps show where Chen‐Hsiang Yeang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Hsiang Yeang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 186 | |
| 2 | 2004 | 123 | |
| 3 | 2005 | 64 | |
| 4 | 2003 | 47 | |
| 5 | 2014 | 42 | |
| 6 | 2006 | 35 | |
| 7 | 2013 | 34 | |
| 8 | 2020 | 32 | |
| 9 | 2021 | 25 | |
| 10 | 2007 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2016 | 20 | |
| 13 | 2003 | 13 | |
| 14 | 2003 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2006 | 10 | |
| 18 | 2011 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2010 | 7 |
About Chen‐Hsiang Yeang
Chen‐Hsiang Yeang is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Cancer Research and Cell Biology, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Gene Regulatory Network Analysis (8 papers), Genomics and Chromatin Dynamics (6 papers), Cancer Genomics and Diagnostics (4 papers), Protein Structure and Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Microtubule and mitosis dynamics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (564 citations), Modeling and Simulation (22 citations), Biophysics (20 citations), Cancer Research (46 citations) and Genetics (72 citations). Chen‐Hsiang Yeang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Tommi Jaakkola, Trey Ideker, Pablo Tamayo, Sayan Mukherjee, Jill P. Mesirov, Eric S. Lander, Ryan Rifkin, Sridhar Ramaswamy, Michael Reich and Nardnisa Sintupisut. Their work appears in journals such as Scientific Reports, Journal of Computational Biology, BMC Bioinformatics, PLoS Computational Biology and Nature Communications.
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.