Shengbin Li
- Biological Psychiatry top 5%
- Neurology top 5%
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- Neurotransmitter Receptor Influence on Behavior 5
- Genetics top 5%
- Forensic and Genetic Research 28
- Genetic diversity and population structure 15
- Genetic Associations and Epidemiology 5
- Developmental Neuroscience top 10%
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- Molecular Biology Techniques and Applications 26
- Receptor Mechanisms and Signaling 6
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- Cancer-related molecular mechanisms research 8
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- Traditional Chinese Medicine Studies 5
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shengbin Li
77 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 127
- Biological Psychiatry 89
- Neurology 170
- Cellular and Molecular Neuroscience 261
- Genetics 375
- Developmental Neuroscience 41
Countries citing papers authored by Shengbin Li
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 2 | |
| 5 | 2018 | 35 | |
| 6 | 2017 | 2 | |
| 7 | 2016 | 13 | |
| 8 | 2015 | 11 | |
| 9 | 2013 | 6 | |
| 10 | 2012 | 335 | |
| 11 | [Genetic differentiation and patterns of gene flow of ten minorities in Yunnan province]. | 2011 | 1 |
| 12 | 2011 | 6 | |
| 13 | 2011 | 29 | |
| 14 | 2010 | 23 | |
| 15 | 2005 | 25 | |
| 16 | 2005 | 11 | |
| 17 | 2005 | 10 | |
| 18 | 2004 | 3 | |
| 19 | 2003 | 2 | |
| 20 | 2003 | 2 |
About Shengbin Li
Shengbin Li is a scholar working on Genetics, Molecular Biology, Complementary and alternative medicine, Cancer Research and Ecological Modeling, 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), Traditional Chinese Medicine Studies (5 papers) and Genetic Associations and Epidemiology (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, Hong Kong and United States. Frequent co-authors include Teng Chen, Hongbo Zhang, Gang Hu, Yuanyuan Huang, Qinbo Zhou, Jiang‐Ning Zhou, Zheng Zhou, Yingjun Liu, Wei Shao and Yanqing Yin. 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.