Sheng Li

9.7k total citations
233 papers, 7.2k citations indexed

About

Sheng Li is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Sheng Li has authored 233 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Cellular and Molecular Neuroscience, 82 papers in Molecular Biology and 75 papers in Genetics. Recurrent topics in Sheng Li's work include Neurobiology and Insect Physiology Research (90 papers), Insect and Arachnid Ecology and Behavior (51 papers) and Insect Utilization and Effects (28 papers). Sheng Li is often cited by papers focused on Neurobiology and Insect Physiology Research (90 papers), Insect and Arachnid Ecology and Behavior (51 papers) and Insect Utilization and Effects (28 papers). Sheng Li collaborates with scholars based in China, United States and Canada. Sheng Li's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Sheng Li

225 papers receiving 7.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sheng Li China 50 2.8k 2.4k 1.7k 1.5k 839 233 7.2k
Young‐Joon Kim South Korea 45 1.8k 0.6× 2.1k 0.9× 1.2k 0.7× 1.3k 0.9× 1.3k 1.5× 198 7.0k
Youngseok Lee South Korea 34 1.5k 0.5× 2.2k 0.9× 1.1k 0.6× 698 0.5× 883 1.1× 145 5.5k
Hiroshi Kataoka Japan 55 2.5k 0.9× 5.6k 2.3× 3.4k 2.0× 2.5k 1.7× 943 1.1× 208 8.7k
Koji Sato Japan 45 1.7k 0.6× 2.0k 0.8× 790 0.5× 963 0.7× 479 0.6× 245 7.5k
Wen Liu China 40 3.9k 1.4× 1.6k 0.6× 424 0.2× 802 0.5× 754 0.9× 215 6.7k
Julian A. T. Dow United Kingdom 58 5.0k 1.8× 5.1k 2.1× 2.8k 1.6× 1.9k 1.3× 1.6k 1.9× 206 12.1k
Sumihare Noji Japan 57 8.0k 2.8× 1.4k 0.6× 600 0.3× 2.7k 1.8× 540 0.6× 229 11.1k
Yukio Ishikawa Japan 39 2.0k 0.7× 2.0k 0.8× 2.8k 1.7× 1.8k 1.2× 418 0.5× 320 6.8k
Vance L. Trudeau Canada 56 1.5k 0.5× 747 0.3× 271 0.2× 1.8k 1.2× 946 1.1× 296 10.2k
Sandra L. Rodriguez‐Zas United States 49 1.8k 0.6× 1.0k 0.4× 1.2k 0.7× 3.4k 2.3× 346 0.4× 233 8.0k

Countries citing papers authored by Sheng Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Zhang, Bo‐Dou, et al.. (2024). Hypecotumines A-D, new isoquinoline alkaloids with potential PCSK9 inhibition activity from Hypecoum erectum L.. Natural Products and Bioprospecting. 14(1). 57–57.
2.
Li, Lin, Suning Liu, Dong‐Wei Yuan, et al.. (2024). ERK-activated CK-2 triggers blastema formation during appendage regeneration. Science Advances. 10(12). eadk8331–eadk8331. 5 indexed citations
3.
Zhang, Yu, Rui Wu, Guodong Ma, et al.. (2024). Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus. Risk Management and Healthcare Policy. Volume 17. 2535–2545. 2 indexed citations
4.
Jia, Qiangqiang, Suning Liu, Di Wen, et al.. (2024). Cyp6g2 is the major P450 epoxidase responsible for juvenile hormone biosynthesis in Drosophila melanogaster. BMC Biology. 22(1). 111–111. 7 indexed citations
5.
Jiang, Xia, Gang Liu, Hao Tang, et al.. (2024). VNS facilitates the neurological function recovery after ischemia/reperfusion injury by regulating the A1/A2 polarization of astrocytes through the NMU-NMUR2 pathway. Neurochemistry International. 183. 105918–105918. 2 indexed citations
6.
Zeng, Mei, et al.. (2024). Molecular basis of E93-dependent tissue morphogenesis and histolysis during insect metamorphosis. Insect Biochemistry and Molecular Biology. 177. 104249–104249. 2 indexed citations
7.
Jiang, Maowang, Ruibing Peng, Xiamin Jiang, et al.. (2023). Metabolic perturbations and bacterial communities dysbiosis associated with skin ulcer disease progression in Sepia pharaonis. Aquaculture. 580. 740301–740301. 3 indexed citations
8.
Xu, Lili, et al.. (2023). Uncarialines A-E, new alkaloids from Uncaria rhynchophylla and their anticoagulant activity. Natural Products and Bioprospecting. 13(1). 13–13. 5 indexed citations
9.
He, Jianzheng, et al.. (2022). AMPK activates the Nrf2-Keap1 pathway to govern dendrite pruning via the insulin pathway in Drosophila. Development. 149(14). 8 indexed citations
10.
Zheng, Xuan, Lei Liao, Zengxing Lu, et al.. (2022). Emergence of Insulating Ferrimagnetism and Perpendicular Magnetic Anisotropy in 3d–5d Perovskite Oxide Composite Films for Insulator Spintronics. ACS Applied Materials & Interfaces. 14(13). 15407–15414. 13 indexed citations
11.
Peng, Ting, Yujiao He, Tao Wang, et al.. (2022). Discovery of a Novel Small-Molecule Inhibitor Disrupting TRBP–Dicer Interaction against Hepatocellular Carcinoma via the Modulation of microRNA Biogenesis. Journal of Medicinal Chemistry. 65(16). 11010–11033. 15 indexed citations
12.
Zhu, Shiming, Fangfang Liu, Chonghua Ren, et al.. (2020). Insulin/IGF signaling and TORC1 promote vitellogenesis via inducing juvenile hormone biosynthesis in the American cockroach. Development. 147(20). 48 indexed citations
13.
Yuan, Dong‐Wei, Shun Zhou, Suning Liu, et al.. (2020). The AMPK-PP2A axis in insect fat body is activated by 20-hydroxyecdysone to antagonize insulin/IGF signaling and restrict growth rate. Proceedings of the National Academy of Sciences. 117(17). 9292–9301. 56 indexed citations
14.
Wu, Qihao, Yuan Gao, Sheng Li, et al.. (2019). New sesquiterpenoids from the South China Sea soft corals Clavularia viridis and Lemnalia flava. Beilstein Journal of Organic Chemistry. 15. 695–702. 8 indexed citations
15.
Ran, Xueqin, et al.. (2018). Copy number variations of MTHFSD gene across pig breeds and its association with litter size traits in Chinese indigenous Xiang pig. Journal of Animal Physiology and Animal Nutrition. 102(5). 1320–1327. 23 indexed citations
16.
Li, Sheng, et al.. (2013). Molecular Expression of the Scribble Complex Genes, Dlg, Scrib and Lgl, in Silkworm, Bombyx mori. Genes. 4(2). 264–274. 2 indexed citations
17.
Li, Sheng. (2007). A study on the ultrastructure of blood brain barrier and the expression of occludin in focal brain ischemia-reperfusion injury rats. 1 indexed citations
18.
Li, Sheng. (2007). Synergism of insect developmental biology and Drosophila genetics for studying insect development and metamorphosis. Kunchong zhishi. 1 indexed citations
19.
Liu, Yan, et al.. (2007). Progress in juvenile hormone synthesis. Acta Entomologica Sinica. 1285–1292. 2 indexed citations
20.
Li, Sheng. (1998). Analysis of Association Between T102C Polymorphism in the Serotonin 2A Receptor Gene and Schizophrenia in Chinese Population. 1 indexed citations

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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