Shu Li

1.5k citations
53 papers · 954 · h-index 16

Impact in

Papers in

    • Protein Structure and Dynamics 9
    • Receptor Mechanisms and Signaling 3
    • Bacterial biofilms and quorum sensing 3
    • Lipid Membrane Structure and Behavior 3
    • Antimicrobial Resistance in Staphylococcus 7

Shu Li

50 papers receiving 943 citations

Peers

Shu Li
Comparison fields: 5 of 123
  • Infectious Diseases 209
  • Microbiology 68
  • Molecular Medicine 40
  • Molecular Biology 458
  • Periodontics 20
Replace Vaishnavi Ravikumar with:
Vaishnavi Ravikumar Sweden
Qiang Lou China
Zhaoming Su China
Keyi Liu China
J. Sakon United States
Mingyuan Li China
Wen Pan China
Sung Jean Park South Korea
Sandip Kumar United States
Wulf Oehlmann Germany
Shu Li relative to Vaishnavi Ravikumar Sweden Vaishnavi Ravikumar's profile →
Citations per field
00.5×1.5×2.1×
Vaishnavi Ravikumar · 1×
Citations per year

Countries citing papers authored by Shu Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shu Li Line = papers co-authored together Shu Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018192
2 2020174
3 2023105
4 201955
5 201352
6 201531
7 201627
8 201325
9 201722
10 201721
11 202220
12 202419
13 201919
14 202418
15 201817
16 201716
17 202115
18 202310
19 20219
20 20229

About Shu Li

Shu Li is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Materials Chemistry and Plant Science, having authored 53 papers that have together received 954 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Computational Drug Discovery Methods (7 papers), Receptor Mechanisms and Signaling (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Infectious Diseases (209 citations), Microbiology (68 citations), Molecular Medicine (40 citations), Molecular Biology (458 citations) and Periodontics (20 citations). Shu Li has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Li Tan, Bei Jiang, Shuguang Yuan, Qianqian Sun, Lijie Wu, Kaiwen Liu, Tian Hua, Suwen Zhao, Yueming Xu and Meng Wu. Their work appears in journals such as Journal of Chemical Information and Modeling, Frontiers in Microbiology, The Journal of Physical Chemistry B, Wiley Interdisciplinary Reviews Computational Molecular Science and Journal of Chemical Theory and Computation.

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.

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