Sheng Li
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Insect Science top 0.2%
- Genetics top 1%
- Immunology top 5%
- Topics
- Neurobiology and Insect Physiology Research (90 papers)Insect and Arachnid Ecology and Behavior (51 papers)Insect Utilization and Effects (28 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Sheng Li
225 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 166
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 2.4k
- Insect Science 1.7k
- Genetics 1.5k
- Immunology 839
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 of co-authors of Sheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Li. A scholar is included among the top collaborators of Sheng 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 Sheng Li. Sheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | 48 | |
| 13 | 56 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 2 | |
| 17 | A study on the ultrastructure of blood brain barrier and the expression of occludin in focal brain ischemia-reperfusion injury rats | 1 |
| 18 | Synergism of insect developmental biology and Drosophila genetics for studying insect development and metamorphosis | 1 |
| 19 | Progress in juvenile hormone synthesis | 2 |
| 20 | Analysis of Association Between T102C Polymorphism in the Serotonin 2A Receptor Gene and Schizophrenia in Chinese Population | 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) and Insect Utilization and Effects (28 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.