Shengbin Li

5.0k citations
82 papers · 1.3k · h-index 18

Impact in

Papers in

    • Molecular Biology Techniques and Applications 26
    • Receptor Mechanisms and Signaling 6
    • Forensic and Genetic Research 28
    • Genetic diversity and population structure 15
    • Genetic Associations and Epidemiology 5

Shengbin Li

77 papers receiving 1.3k citations

Peers

Shengbin Li
Comparison fields: 5 of 127
  • Biological Psychiatry 89
  • Neurology 170
  • Cellular and Molecular Neuroscience 261
  • Genetics 375
  • Developmental Neuroscience 41
Replace Ignazio S. Piras with:
Ignazio S. Piras United States
Joseph A. Tamm United States
Jun Nomura Japan
Colleen A. Mangold United States
Hans Imboden Switzerland
Jubao Duan United States
Dawn L. Thiselton United States
Zsolt Csaba France
Joari De Miranda Brazil
Yuji Kajiwara United States
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Citations per field
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Ignazio S. Piras · 1×
Citations per year

Countries citing papers authored by Shengbin Li

Since Specialization
Citations

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

Fields of papers citing papers by Shengbin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shengbin 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 Shengbin Li Line = papers co-authored together Shengbin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012335
2 201282
3 201169
4 200949
5 200748
6 201246
7 201639
8 201835
9 201131
10 201129
11 201328
12 200627
13 201327
14 201826
15 200525
16 201425
17 201023
18 200820
19 201516
20 201616

About Shengbin Li

Shengbin Li is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cancer Research and Immunology, having authored 82 papers that have together received 1.3k indexed citations. Recurring topics across this work include Forensic and Genetic Research (28 papers), Molecular Biology Techniques and Applications (26 papers), Genetic diversity and population structure (15 papers), Cancer-related molecular mechanisms research (8 papers), Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Genetic Associations and Epidemiology (5 papers) and Traditional Chinese Medicine Studies (5 papers). The work is most often cited by research in Biological Psychiatry (89 citations), Neurology (170 citations), Cellular and Molecular Neuroscience (261 citations), Genetics (375 citations) and Developmental Neuroscience (41 citations). Shengbin Li has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Teng Chen, Hongbo Zhang, Yuanyuan Huang, Xinhua Zhang, Zheng Zhou, Yanqing Yin, Eric F. Wawrousek, Jiawei Zhou, Wei Shao and Gang Hu. Their work appears in journals such as Forensic Science International, PLoS ONE, Legal Medicine, GigaScience and Genomics Proteomics & Bioinformatics.

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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