Chih‐Chiang Tsou
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 12
- Mass Spectrometry Techniques and Applications 9
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies 6
- Glycosylation and Glycoproteins Research 2
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
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- Peptidase Inhibition and Analysis 3
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- Image and Signal Denoising Methods 2
- Co-authors
- Alexey I. NesvizhskiiAnne‐Claude GingrasHyungwon ChoiBrett LarsenMonika TucholskaDmitry M. AvtonomovYu‐Ju ChenYi‐Ting Wang
- Journals
- Molecular & Cellular Proteomics (4 papers)Journal of Proteome Research (2 papers)PROTEOMICS (2 papers)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Chih‐Chiang Tsou
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Spectroscopy 831
- Molecular Biology 1.1k
- Cell Biology 92
- Cancer Research 81
- Oncology 137
Countries citing papers authored by Chih‐Chiang Tsou
This map shows the geographic impact of Chih‐Chiang Tsou'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 Chih‐Chiang Tsou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Chiang Tsou more than expected).
Fields of papers citing papers by Chih‐Chiang Tsou
This network shows the impact of papers produced by Chih‐Chiang Tsou. 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 Chih‐Chiang Tsou. The network helps show where Chih‐Chiang Tsou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih‐Chiang Tsou, 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 | 2021 | 18 | |
| 2 | 2019 | 25 | |
| 3 | 2017 | 28 | |
| 4 | 2017 | 41 | |
| 5 | 2016 | 47 | |
| 6 | 2016 | 244 | |
| 7 | 2015 | 137 | |
| 8 | DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomicsbreakdown → | 2015 | 461 |
| 9 | 2015 | 106 | |
| 10 | 2012 | 22 | |
| 11 | 2012 | 8 | |
| 12 | 2011 | 51 | |
| 13 | 2010 | 51 | |
| 14 | 2010 | 14 | |
| 15 | 2009 | 8 | |
| 16 | 2009 | 114 | |
| 17 | 2008 | 3 | |
| 18 | 2008 | 10 | |
| 19 | 2007 | 1 | |
| 20 | 2007 | 42 |
About Chih‐Chiang Tsou
Chih‐Chiang Tsou is a scholar working on Spectroscopy, Physiology, Molecular Biology, Computer Vision and Pattern Recognition and Immunology and Allergy, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (12 papers), Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Image and Signal Denoising Methods (2 papers), Bioinformatics and Genomic Networks (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Spectroscopy (831 citations), Molecular Biology (1.1k citations), Cell Biology (92 citations), Cancer Research (81 citations) and Oncology (137 citations). Chih‐Chiang Tsou has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Alexey I. Nesvizhskii, Anne‐Claude Gingras, Hyungwon Choi, Brett Larsen, Monika Tucholska, Dmitry M. Avtonomov, Yu‐Ju Chen, Yi‐Ting Wang, Chia‐Feng Tsai and Chia-Feng Tsai. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteome Research, PROTEOMICS, Journal of Proteomics and Nature Methods.
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.