Shao Li

23.4k total citations · 10 hit papers
357 papers, 17.3k citations indexed

About

Shao Li is a scholar working on Molecular Biology, Computational Theory and Mathematics and Complementary and alternative medicine. According to data from OpenAlex, Shao Li has authored 357 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 46 papers in Computational Theory and Mathematics and 46 papers in Complementary and alternative medicine. Recurrent topics in Shao Li's work include Computational Drug Discovery Methods (45 papers), Bioinformatics and Genomic Networks (32 papers) and Traditional Chinese Medicine Studies (31 papers). Shao Li is often cited by papers focused on Computational Drug Discovery Methods (45 papers), Bioinformatics and Genomic Networks (32 papers) and Traditional Chinese Medicine Studies (31 papers). Shao Li collaborates with scholars based in China, United States and Canada. Shao Li's co-authors include Bo Zhang, Junfeng Wang, Bo Zhang, L. Trevor Young, Ana C. Andreazza, Robert S. Haltiwanger, Ningbo Zhang, Shiwen Zhao, Rui Jiang and Michael Q. Zhang and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Shao Li

338 papers receiving 16.9k citations

Hit Papers

Traditional Chinese medicine network pharma... 2000 2026 2008 2017 2013 2013 2014 2000 2008 250 500 750 1000

Peers

Shao Li
Comparison fields: 5 of 201
  • Molecular Biology 9.2k
  • Pharmacology 2.5k
  • Complementary and alternative medicine 2.3k
  • Computational Theory and Mathematics 2.2k
  • Physiology 1.6k
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Guanhua Du China View profile →
Citations per field, relative to Shao Li
Shao Li · 1×
Citations per year, relative to Shao Li
Shao Li · 1×

Countries citing papers authored by Shao Li

Since Specialization
Citations

This map shows the geographic impact of Shao 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 Shao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shao Li more than expected).

Fields of papers citing papers by Shao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao 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 Shao Li. The network helps show where Shao Li may publish in the future.

Co-authorship network of co-authors of Shao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shao Li. A scholar is included among the top collaborators of Shao Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shao Li. Shao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 6
5 2
6 3
7 6
8 3
9 18
10
Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine breakdown →
249
11 29
12 17
13 25
14 6
15 97
16 219
17 101
18 87
19
The intervention effect of "Prescription Automatic Screening System" in elderly patients
1
20 108

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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