Shu Li
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 7
- Microbiology top 10%
- Molecular Medicine top 10%
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- Protein Structure and Dynamics 8
- Bacterial biofilms and quorum sensing 4
- Lipid Membrane Structure and Behavior 3
- Receptor Mechanisms and Signaling 3
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- Computational Drug Discovery Methods 7
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- Monoclonal and Polyclonal Antibodies Research 3
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- Tribology and Wear Analysis 2
- Co-authors
- Li TanBei JiangShuguang YuanQianqian SunLijie WuYueming XuTian HuaMeng Wu
- Journals
- Journal of Chemical Information and Modeling (4 papers)Frontiers in Microbiology (3 papers)Nature Communications (2 papers)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Shu Li
47 papers receiving 885 citations
Peers
Comparison fields: 5 of 121
- Infectious Diseases 214
- Microbiology 68
- Molecular Medicine 39
- Molecular Biology 467
- Clinical Biochemistry 35
Countries citing papers authored by Shu Li
This map shows the geographic impact of Shu 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 Shu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Li more than expected).
Fields of papers citing papers by Shu Li
This network shows the impact of papers produced by Shu 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 Shu Li. The network helps show where Shu Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 14 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 2 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 166 | |
| 13 | 2019 | 55 | |
| 14 | 2018 | 178 | |
| 15 | 2017 | 22 | |
| 16 | 2015 | 30 | |
| 17 | 2015 | 2 | |
| 18 | 2007 | 3 | |
| 19 | Effect of inoculation of arbuscular mycorrhizal fungi and Rhizobium on the P uptake in faba bean/maize intercropping system | 2005 | 3 |
| 20 | Salinity Stress on the Physiological and Agronomic Traits of Wheat | 2000 | 1 |
About Shu Li
Shu Li is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Metals and Alloys, having authored 50 papers that have together received 896 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Computational Drug Discovery Methods (7 papers), Bacterial biofilms and quorum sensing (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lipid Membrane Structure and Behavior (3 papers), Receptor Mechanisms and Signaling (3 papers) and Tribology and Wear Analysis (2 papers). The work is most often cited by research in Infectious Diseases (214 citations), Microbiology (68 citations) and Molecular Medicine (39 citations). Shu Li has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Li Tan, Bei Jiang, Shuguang Yuan, Qianqian Sun, Lijie Wu, Yueming Xu, Tian Hua, Meng Wu, Suwen Zhao and Kaiwen Liu. Their work appears in journals such as Journal of Chemical Information and Modeling, Frontiers in Microbiology, Nature Communications, Journal of Chemical Theory and Computation and ACS Chemical Neuroscience.
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.