Tzu‐Ming Chu
Impact in
- Plant Science top 5%
- Plant Virus Research Studies
- Plant-Microbe Interactions and Immunity
- Plant Molecular Biology Research
- Small Animals top 5%
Papers in
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- Gene expression and cancer classification 13
- Molecular Biology Techniques and Applications 6
- Bioinformatics and Genomic Networks 4
- Genomics and Chromatin Dynamics 4
- Receptor Mechanisms and Signaling 2
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- Effects and risks of endocrine disrupting chemicals 4
- Co-authors
- Russell D. Wolfinger (16 shared papers)Russ Wolfinger (7 shared papers)Rosangela Sozzani (1 shared paper)José Trinidad Ascencio‐Ibáñez (1 shared paper)Tae-Jin Lee (1 shared paper)Rino Cella (1 shared paper)Linda Hanley‐Bowdoin (1 shared paper)Wenjun Bao (8 shared papers)
- Journals
- Toxicological Sciences (5 papers)Nature Biotechnology (2 papers)Environmental Health Perspectives (2 papers)BMC Bioinformatics (2 papers)Journal of Neuroendocrinology (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Tzu‐Ming Chu
24 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Plant Science 544
- Small Animals 102
- Molecular Biology 872
- Cancer Research 169
- Horticulture 12
Countries citing papers authored by Tzu‐Ming Chu
This map shows the geographic impact of Tzu‐Ming Chu'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 Tzu‐Ming Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu‐Ming Chu more than expected).
Fields of papers citing papers by Tzu‐Ming Chu
This network shows the impact of papers produced by Tzu‐Ming Chu. 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 Tzu‐Ming Chu. The network helps show where Tzu‐Ming Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tzu‐Ming Chu, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 454 | |
| 2 | 2006 | 381 | |
| 3 | 2002 | 158 | |
| 4 | 2012 | 125 | |
| 5 | 2003 | 119 | |
| 6 | 2013 | 103 | |
| 7 | 2006 | 73 | |
| 8 | 2007 | 61 | |
| 9 | 2006 | 61 | |
| 10 | 2006 | 53 | |
| 11 | 2013 | 52 | |
| 12 | 2006 | 43 | |
| 13 | 2004 | 35 | |
| 14 | 2009 | 34 | |
| 15 | 2004 | 14 | |
| 16 | 2004 | 8 | |
| 17 | 2003 | 7 | |
| 18 | 2007 | 5 | |
| 19 | 2011 | 5 | |
| 20 | 2012 | 4 |
About Tzu‐Ming Chu
Tzu‐Ming Chu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Genetics, Computational Theory and Mathematics and Plant Science, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Molecular Biology Techniques and Applications (6 papers), Bioinformatics and Genomic Networks (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Genomics and Chromatin Dynamics (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Plant Science (544 citations), Small Animals (102 citations), Molecular Biology (872 citations), Cancer Research (169 citations) and Horticulture (12 citations). Tzu‐Ming Chu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Russell D. Wolfinger, Russ Wolfinger, Rosangela Sozzani, José Trinidad Ascencio‐Ibáñez, Tae-Jin Lee, Rino Cella, Linda Hanley‐Bowdoin, Wenjun Bao, B. S. Weir and Russell S. Thomas. Their work appears in journals such as Toxicological Sciences, Nature Biotechnology, Environmental Health Perspectives, BMC Bioinformatics and Journal of Neuroendocrinology.
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.