Sheng‐ce Tao
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 14
- SARS-CoV-2 detection and testing 10
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 23
- Advanced Biosensing Techniques and Applications 20
- Advanced biosensing and bioanalysis techniques 14
- Gene expression and cancer classification 11
- Geriatrics and Gerontology top 5%
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- Monoclonal and Polyclonal Antibodies Research 25
- Aging top 5%
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- Biosensors and Analytical Detection 14
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Sheng‐ce Tao
116 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 137
- Infectious Diseases 719
- Molecular Biology 2.4k
- Geriatrics and Gerontology 100
- Radiology, Nuclear Medicine and Imaging 519
- Aging 39
Countries citing papers authored by Sheng‐ce Tao
This map shows the geographic impact of Sheng‐ce Tao'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 Sheng‐ce Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng‐ce Tao more than expected).
Fields of papers citing papers by Sheng‐ce Tao
This network shows the impact of papers produced by Sheng‐ce Tao. 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 Sheng‐ce Tao. The network helps show where Sheng‐ce Tao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng‐ce Tao, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 35 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 121 | |
| 11 | 2021 | 9 | |
| 12 | 2019 | 32 | |
| 13 | 2018 | 53 | |
| 14 | 2016 | 23 | |
| 15 | 2014 | 59 | |
| 16 | 2013 | 57 | |
| 17 | 2012 | 33 | |
| 18 | 2010 | 9 | |
| 19 | 2007 | 104 | |
| 20 | 2005 | 8 |
About Sheng‐ce Tao
Sheng‐ce Tao is a scholar working on Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 119 papers that have together received 3.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Glycosylation and Glycoproteins Research (23 papers), Advanced Biosensing Techniques and Applications (20 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Biosensors and Analytical Detection (14 papers), Advanced biosensing and bioanalysis techniques (14 papers), Gene expression and cancer classification (11 papers) and SARS-CoV-2 detection and testing (10 papers). The work is most often cited by research in Infectious Diseases (719 citations), Molecular Biology (2.4k citations) and Geriatrics and Gerontology (100 citations). Sheng‐ce Tao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Heng Zhu, He‐wei Jiang, Huan Qi, Shujuan Guo, Jiang Qian, Chien‐Sheng Chen, Yu-Yi Lin, Jin-ying Lu, Yingming Zhao and Qingfeng Meng. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.