Guan‐Da Syu
Impact in
- Rehabilitation top 10%
- Exercise and Physiological Responses
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
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- Advanced Biosensing Techniques and Applications 5
- Receptor Mechanisms and Signaling 3
- Gene expression and cancer classification 2
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- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 4
- Co-authors
- Hsiun-ing Chen (3 shared papers)Chauying J. Jen (3 shared papers)Heng Zhu (3 shared papers)Chien‐Sheng Chen (9 shared papers)F.X. Reymond Sutandy (4 shared papers)Tzong‐Shiann Ho (9 shared papers)C. Cheng Kao (1 shared paper)Yi‐Yu Chou (3 shared papers)
- Journals
- Molecular & Cellular Proteomics (7 papers)Analytical Chemistry (4 papers)Medicine & Science in Sports & Exercise (2 papers)Biosensors and Bioelectronics (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesPhilippines
In The Last Decade
Guan‐Da Syu
23 papers receiving 325 citations
Peers
Comparison fields: 5 of 84
- Rehabilitation 54
- Infectious Diseases 49
- Molecular Biology 146
- Radiology, Nuclear Medicine and Imaging 40
- Biological Psychiatry 4
Countries citing papers authored by Guan‐Da Syu
This map shows the geographic impact of Guan‐Da Syu'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 Guan‐Da Syu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guan‐Da Syu more than expected).
Fields of papers citing papers by Guan‐Da Syu
This network shows the impact of papers produced by Guan‐Da Syu. 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 Guan‐Da Syu. The network helps show where Guan‐Da Syu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guan‐Da Syu, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 61 | |
| 2 | 2011 | 47 | |
| 3 | 2015 | 32 | |
| 4 | 2011 | 30 | |
| 5 | 2021 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2013 | 16 | |
| 8 | 2018 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2014 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2015 | 1 |
About Guan‐Da Syu
Guan‐Da Syu is a scholar working on Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Surgery and Animal Science and Zoology, having authored 25 papers that have together received 330 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Advanced Biosensing Techniques and Applications (5 papers), SARS-CoV-2 detection and testing (4 papers), Bipolar Disorder and Treatment (3 papers), Receptor Mechanisms and Signaling (3 papers), Animal Virus Infections Studies (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Rehabilitation (54 citations), Infectious Diseases (49 citations), Molecular Biology (146 citations), Radiology, Nuclear Medicine and Imaging (40 citations) and Biological Psychiatry (4 citations). Guan‐Da Syu has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Hsiun-ing Chen, Chauying J. Jen, Heng Zhu, Chien‐Sheng Chen, F.X. Reymond Sutandy, Tzong‐Shiann Ho, C. Cheng Kao, Yi‐Yu Chou, Kuan‐Yi Lu and Baochang Fan. Their work appears in journals such as Molecular & Cellular Proteomics, Analytical Chemistry, Medicine & Science in Sports & Exercise, Biosensors and Bioelectronics 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.