Weiwei Su
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
- Co-authors
- Peibo Li (22 shared papers)Yichu Nie (6 shared papers)Xiang‐Qun Xie (3 shared papers)Hao Wu (4 shared papers)Lirong Wang (2 shared papers)Yu-Long Luo (4 shared papers)Jian-wei Ma (8 shared papers)Zhenyuan Jia (8 shared papers)
- Journals
- The International Journal of Advanced Manufacturing Technology (3 papers)International Journal of Biological Macromolecules (2 papers)Medicine (2 papers)International Immunopharmacology (2 papers)Molecules (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Weiwei Su
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 131
- Complementary and alternative medicine 183
- Pharmacology 135
- Pharmacology 223
- Computational Theory and Mathematics 211
- Biochemistry 63
Countries citing papers authored by Weiwei Su
This map shows the geographic impact of Weiwei 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 Weiwei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Su more than expected).
Fields of papers citing papers by Weiwei Su
This network shows the impact of papers produced by Weiwei 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 Weiwei Su. The network helps show where Weiwei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 188 | |
| 2 | 2013 | 159 | |
| 3 | 2011 | 122 | |
| 4 | 2005 | 112 | |
| 5 | 2016 | 111 | |
| 6 | 2012 | 85 | |
| 7 | 2012 | 76 | |
| 8 | 2022 | 74 | |
| 9 | 2012 | 65 | |
| 10 | 2010 | 52 | |
| 11 | 2018 | 50 | |
| 12 | 2010 | 41 | |
| 13 | 2012 | 37 | |
| 14 | 2020 | 33 | |
| 15 | 2012 | 27 | |
| 16 | 2013 | 25 | |
| 17 | 2012 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2017 | 20 | |
| 20 | 2014 | 19 |
About Weiwei Su
Weiwei Su is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computational Mechanics, Complementary and alternative medicine and Mechanical Engineering, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (7 papers), Advanced machining processes and optimization (5 papers), Phytochemistry and Biological Activities (4 papers), Advanced Measurement and Metrology Techniques (4 papers), Traditional Chinese Medicine Analysis (4 papers), Manufacturing Process and Optimization (3 papers), Iterative Learning Control Systems (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Complementary and alternative medicine (183 citations), Pharmacology (135 citations), Pharmacology (223 citations), Computational Theory and Mathematics (211 citations) and Biochemistry (63 citations). Weiwei Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peibo Li, Yichu Nie, Xiang‐Qun Xie, Hao Wu, Lirong Wang, Yu-Long Luo, Jian-wei Ma, Zhenyuan Jia, Dening Song and Peter Wipf. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, International Journal of Biological Macromolecules, Medicine, International Immunopharmacology and Molecules.
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.