Suya Li
Impact in
- Water Science and Technology top 10%
- Adsorption and biosorption for pollutant removal
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- 2D Materials and Applications 6
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- Nanomaterials for catalytic reactions 3
- Synthesis and biological activity 3
- Co-authors
- Tao E (7 shared papers)Yun Li (3 shared papers)Zhu‐Ping Xiao (6 shared papers)Shuyi Yang (2 shared papers)Yuanfei Wang (2 shared papers)Jie Hao (4 shared papers)Hao Xin (1 shared paper)Liang Chen (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (3 papers)NeuroMolecular Medicine (1 paper)Clinical Simulation in Nursing (1 paper)Journal of Medical Internet Research (1 paper)Current Topics in Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Suya Li
48 papers receiving 528 citations
Peers
Comparison fields: 5 of 113
- Water Science and Technology 90
- Neurology 29
- Obstetrics and Gynecology 19
- Environmental Engineering 39
- Materials Chemistry 104
Countries citing papers authored by Suya Li
This map shows the geographic impact of Suya Li'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 Suya Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suya Li more than expected).
Fields of papers citing papers by Suya Li
This network shows the impact of papers produced by Suya Li. 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 Suya Li. The network helps show where Suya Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Suya Li, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 60 | |
| 2 | 2024 | 43 | |
| 3 | 2024 | 39 | |
| 4 | 2023 | 33 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 26 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2021 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2012 | 9 |
About Suya Li
Suya Li is a scholar working on Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering, Water Science and Technology and Molecular Biology, having authored 53 papers that have together received 531 indexed citations. Recurring topics across this work include 2D Materials and Applications (6 papers), Adsorption and biosorption for pollutant removal (6 papers), Microbial Applications in Construction Materials (4 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Nanomaterials for catalytic reactions (3 papers), Synthesis and biological activity (3 papers) and Aerogels and thermal insulation (3 papers). The work is most often cited by research in Water Science and Technology (90 citations), Neurology (29 citations), Obstetrics and Gynecology (19 citations), Environmental Engineering (39 citations) and Materials Chemistry (104 citations). Suya Li has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Tao E, Yun Li, Zhu‐Ping Xiao, Shuyi Yang, Yuanfei Wang, Jie Hao, Hao Xin, Liang Chen, Hai‐Liang Zhu and Jia Qiao. Their work appears in journals such as International Journal of Biological Macromolecules, NeuroMolecular Medicine, Clinical Simulation in Nursing, Journal of Medical Internet Research and Current Topics in Medicinal Chemistry.
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.