Tao Su
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 6
- Biochemistry top 5%
- Pharmacology top 2%
- Apelin-related biomedical research 6
- Pharmacology top 2%
- Apelin-related biomedical research 6
- Molecular Biology top 5%
- Natural product bioactivities and synthesis 10
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- Traditional Chinese Medicine Analysis 11
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- Cytokine Signaling Pathways and Interactions 10
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 6
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- Adipose Tissue and Metabolism 6
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- Phytochemistry and Biological Activities 6
- Co-authors
- Hiu Yee KwanZhi‐Ling YuKeith E. MostovAnfernee Kai‐Wing TseMartin ter BeestXiu‐Qiong FuHuihui CaoBrian Chi‐Yan Cheng
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Tao Su
121 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 120
- Cancer Research 441
- Biochemistry 174
- Pharmacology 476
- Pharmacology 236
- Molecular Biology 1.7k
Countries citing papers authored by Tao Su
This map shows the geographic impact of Tao Su'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 Tao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Su more than expected).
Fields of papers citing papers by Tao Su
This network shows the impact of papers produced by Tao Su. 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 Tao Su. The network helps show where Tao Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Su, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2019 | 11 | |
| 10 | 2017 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 23 | |
| 13 | 2014 | 48 | |
| 14 | 2014 | 35 | |
| 15 | 2014 | 4 | |
| 16 | 2010 | 67 | |
| 17 | 2009 | 33 | |
| 18 | Obtainment and Characterization of The Evolved Enzymes From Arabidopsis thaliana Glutathione S-Transferase Zeta Class | 2008 | 1 |
| 19 | 2000 | 17 | |
| 20 | 1951 | 4 |
About Tao Su
Tao Su is a scholar working on Complementary and alternative medicine, Pharmacology and Biochemistry, having authored 125 papers that have together received 3.6k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (11 papers), Cytokine Signaling Pathways and Interactions (10 papers), Natural product bioactivities and synthesis (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers), Apelin-related biomedical research (6 papers), Adipose Tissue and Metabolism (6 papers), Cancer-related molecular mechanisms research (6 papers) and Phytochemistry and Biological Activities (6 papers). The work is most often cited by research in Cancer Research (441 citations), Biochemistry (174 citations) and Pharmacology (476 citations). Tao Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hiu Yee Kwan, Zhi‐Ling Yu, Keith E. Mostov, Anfernee Kai‐Wing Tse, Martin ter Beest, Xiu‐Qiong Fu, Huihui Cao, Brian Chi‐Yan Cheng, Mark C. Gillies and Hua Yu. Their work appears in journals such as Scientific Reports, Journal of Ethnopharmacology, Oncotarget, Phytomedicine and Acta Biochimica et Biophysica Sinica.
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.