Chen‐An Tsai
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Molecular Biology Techniques and Applications
Papers in
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- Statistical Methods in Clinical Trials 9
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- Optimal Experimental Design Methods 7
- Co-authors
- James J. ChenHuey‐Miin HsuehShuu‐Jiun WangRobert R. DelongchampChun‐Houh ChenChien‐Ju LinFrank D. SistareSongjoon Baek
- Journals
- Journal of Biopharmaceutical Statistics (4 papers)Bioinformatics (3 papers)BMC Bioinformatics (3 papers)PLoS ONE (3 papers)Vaccine (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Chen‐An Tsai
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 146
- Statistics and Probability 115
- Molecular Biology 681
- Cancer Research 123
- Modeling and Simulation 28
- Genetics 119
Countries citing papers authored by Chen‐An Tsai
This map shows the geographic impact of Chen‐An Tsai'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‐An Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen‐An Tsai more than expected).
Fields of papers citing papers by Chen‐An Tsai
This network shows the impact of papers produced by Chen‐An Tsai. 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‐An Tsai. The network helps show where Chen‐An Tsai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen‐An Tsai, 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 | 2023 | 13 | |
| 2 | 2013 | 6 | |
| 3 | 2012 | 26 | |
| 4 | 2011 | 2 | |
| 5 | 2011 | 6 | |
| 6 | 2011 | 33 | |
| 7 | 2011 | 20 | |
| 8 | 2011 | 13 | |
| 9 | 2010 | 9 | |
| 10 | 2009 | 0 | |
| 11 | 2007 | 103 | |
| 12 | 2007 | 27 | |
| 13 | 2006 | 88 | |
| 14 | 2006 | 65 | |
| 15 | 2005 | 47 | |
| 16 | 2004 | 19 | |
| 17 | 2004 | 51 | |
| 18 | 2004 | 25 | |
| 19 | 2004 | 68 | |
| 20 | 2003 | 49 |
About Chen‐An Tsai
Chen‐An Tsai is a scholar working on Statistics and Probability, Management Science and Operations Research, Molecular Biology, Modeling and Simulation and Biological Psychiatry, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (17 papers), Statistical Methods in Clinical Trials (9 papers), Molecular Biology Techniques and Applications (7 papers), Optimal Experimental Design Methods (7 papers), Influenza Virus Research Studies (5 papers), Respiratory viral infections research (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Statistics and Probability (115 citations), Molecular Biology (681 citations), Cancer Research (123 citations), Modeling and Simulation (28 citations) and Genetics (119 citations). Chen‐An Tsai has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include James J. Chen, Huey‐Miin Hsueh, Shuu‐Jiun Wang, Robert R. Delongchamp, Chun‐Houh Chen, Chien‐Ju Lin, Frank D. Sistare, Songjoon Baek, Ralph L. Kodell and Hongshik Ahn. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Bioinformatics, BMC Bioinformatics, PLoS ONE and Vaccine.
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.