Shu Li
Impact in
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
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- Bacterial biofilms and quorum sensing
- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
Papers in
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- Protein Structure and Dynamics 6
- Receptor Mechanisms and Signaling 3
- Machine Learning in Bioinformatics 3
- Plant and Fungal Species Descriptions 2
- Ion channel regulation and function 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Li Tan (4 shared papers)Bei Jiang (2 shared papers)Shuguang Yuan (4 shared papers)Kaiwen Liu (1 shared paper)Tian Hua (1 shared paper)Meng Wu (1 shared paper)Zhi‐Jie Liu (1 shared paper)Suwen Zhao (1 shared paper)
- Journals
- Journal of Chemical Information and Modeling (4 papers)Frontiers in Microbiology (3 papers)Nature Communications (3 papers)ACS Chemical Neuroscience (2 papers)The Journal of Physical Chemistry B (2 papers)
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Shu Li
51 papers receiving 1k citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 190
- Molecular Biology 365
- Oncology 98
- Microbiology 20
- Computational Theory and Mathematics 46
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-authors
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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 199 | |
| 2 | 2020 | 190 | |
| 3 | 2023 | 108 | |
| 4 | 2019 | 55 | |
| 5 | 2013 | 53 | |
| 6 | 2015 | 34 | |
| 7 | 2016 | 29 | |
| 8 | 2024 | 28 | |
| 9 | 2013 | 25 | |
| 10 | 2017 | 23 | |
| 11 | 2022 | 22 | |
| 12 | 2024 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2017 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2023 | 13 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Shu Li
Shu Li is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Oral Surgery and Oncology, having authored 53 papers that have together received 1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Receptor Mechanisms and Signaling (3 papers), Machine Learning in Bioinformatics (3 papers), Alzheimer's disease research and treatments (2 papers), Plant and Fungal Species Descriptions (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Infectious Diseases (190 citations), Molecular Biology (365 citations), Oncology (98 citations), Microbiology (20 citations) and Computational Theory and Mathematics (46 citations). Shu Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Li Tan, Bei Jiang, Shuguang Yuan, Kaiwen Liu, Tian Hua, Meng Wu, Zhi‐Jie Liu, Suwen Zhao, Qianqian Sun and Yueming Xu. Their work appears in journals such as Journal of Chemical Information and Modeling, Frontiers in Microbiology, Nature Communications, ACS Chemical Neuroscience and The Journal of Physical Chemistry B.
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.