Chao-Tsung Yang
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
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- Zebrafish Biomedical Research Applications 7
- melanin and skin pigmentation 2
-
- Developmental Biology and Gene Regulation 2
- Ubiquitin and proteasome pathways 1
- Co-authors
- Misha B. Ahrens (7 shared papers)Stephen L. Johnson (3 shared papers)Loren L. Looger (2 shared papers)Yu Mu (3 shared papers)Jeremy Freeman (3 shared papers)Takashi Kawashima (2 shared papers)Nikita Vladimirov (3 shared papers)Vivek Jayaraman (1 shared paper)
- Journals
- Nature Methods (2 papers)Development (2 papers)eLife (2 papers)Science (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Chao-Tsung Yang
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 112
- Biophysics 202
- Cell Biology 432
- Cellular and Molecular Neuroscience 426
- Cognitive Neuroscience 314
- Structural Biology 17
Countries citing papers authored by Chao-Tsung Yang
This map shows the geographic impact of Chao-Tsung Yang'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 Chao-Tsung Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Tsung Yang more than expected).
Fields of papers citing papers by Chao-Tsung Yang
This network shows the impact of papers produced by Chao-Tsung Yang. 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 Chao-Tsung Yang. The network helps show where Chao-Tsung Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao-Tsung Yang, 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 | 2015 | 312 | |
| 2 | 2016 | 181 | |
| 3 | 2014 | 180 | |
| 4 | 2016 | 86 | |
| 5 | 2015 | 78 | |
| 6 | 2006 | 77 | |
| 7 | 2016 | 55 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 39 | |
| 10 | 2004 | 37 | |
| 11 | 2007 | 35 | |
| 12 | 2015 | 27 | |
| 13 | 2024 | 1 |
About Chao-Tsung Yang
Chao-Tsung Yang is a scholar working on Cell Biology, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (7 papers), Neural dynamics and brain function (4 papers), Neurobiology and Insect Physiology Research (3 papers), MicroRNA in disease regulation (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), melanin and skin pigmentation (2 papers), Developmental Biology and Gene Regulation (2 papers) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biophysics (202 citations), Cell Biology (432 citations), Cellular and Molecular Neuroscience (426 citations), Cognitive Neuroscience (314 citations) and Structural Biology (17 citations). Chao-Tsung Yang has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Misha B. Ahrens, Stephen L. Johnson, Loren L. Looger, Yu Mu, Jeremy Freeman, Takashi Kawashima, Nikita Vladimirov, Vivek Jayaraman, Marta Zlatic and Ronak Patel. Their work appears in journals such as Nature Methods, Development, eLife, Science and PLoS Genetics.
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.