Sheng Li
- Insect Science top 0.2%
- Insect Utilization and Effects 28
- Insect and Pesticide Research 12
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research 90
- Aging top 2%
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 51
- Molecular Biology top 2%
- Insect Resistance and Genetics 18
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- Invertebrate Immune Response Mechanisms 17
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- Carbon Dioxide Capture Technologies 14
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- Silk-based biomaterials and applications 12
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of the American Chemical Society (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Sheng Li
225 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 166
- Insect Science 1.7k
- Cellular and Molecular Neuroscience 2.4k
- Aging 120
- Genetics 1.5k
- Molecular Biology 2.8k
Countries citing papers authored by Sheng Li
This map shows the geographic impact of Sheng 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 Sheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Li more than expected).
Fields of papers citing papers by Sheng Li
This network shows the impact of papers produced by Sheng 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 Sheng Li. The network helps show where Sheng Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheng 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 | 2024 | 5 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 48 | |
| 13 | 2020 | 56 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 23 | |
| 16 | 2013 | 2 | |
| 17 | A study on the ultrastructure of blood brain barrier and the expression of occludin in focal brain ischemia-reperfusion injury rats | 2007 | 1 |
| 18 | Synergism of insect developmental biology and Drosophila genetics for studying insect development and metamorphosis | 2007 | 1 |
| 19 | Progress in juvenile hormone synthesis | 2007 | 2 |
| 20 | Analysis of Association Between T102C Polymorphism in the Serotonin 2A Receptor Gene and Schizophrenia in Chinese Population | 1998 | 1 |
About Sheng Li
Sheng Li is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Genetics, having authored 233 papers that have together received 7.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (90 papers), Insect and Arachnid Ecology and Behavior (51 papers), Insect Utilization and Effects (28 papers), Insect Resistance and Genetics (18 papers), Invertebrate Immune Response Mechanisms (17 papers), Carbon Dioxide Capture Technologies (14 papers), Insect and Pesticide Research (12 papers) and Silk-based biomaterials and applications (12 papers). The work is most often cited by research in Insect Science (1.7k citations), Cellular and Molecular Neuroscience (2.4k citations) and Aging (120 citations). Sheng Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qili Feng, Qiangqiang Jia, Ling Tian, Hanhan Liu, Kang Li, Qingyou Xia, Rong‐Jing Jiang, Hongguang Jin, Suning Liu and Sheng Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.