Na Sheng

623 total citations
18 papers, 493 citations indexed

About

Na Sheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Na Sheng has authored 18 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Immunology. Recurrent topics in Na Sheng's work include Neurobiology and Insect Physiology Research (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Analytical chemistry methods development (3 papers). Na Sheng is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Analytical chemistry methods development (3 papers). Na Sheng collaborates with scholars based in China, Singapore and United States. Na Sheng's co-authors include Qin Hu, Fangdi Wei, Rong Zhu, Zheng Cai, Wenhui Zhao, Juan Xu, Shuhu Du, Xin‐Yuan Fu, Xinyu Liu and Luang Xu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Na Sheng

16 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Na Sheng China 8 205 198 106 84 80 18 493
Mario Corte‐Rodríguez Spain 13 129 0.6× 117 0.6× 76 0.7× 74 0.9× 24 0.3× 25 509
Wenfei Zhao China 10 80 0.4× 194 1.0× 75 0.7× 26 0.3× 30 0.4× 22 389
Muhammad Mujahid Ali China 13 182 0.9× 143 0.7× 109 1.0× 25 0.3× 28 0.3× 31 429
M. Galésio Portugal 13 128 0.6× 89 0.4× 141 1.3× 63 0.8× 7 0.1× 19 450
Jagdeesh S. Uppal Canada 6 278 1.4× 59 0.3× 14 0.1× 115 1.4× 48 0.6× 9 553
Huachun Liu China 13 109 0.5× 196 1.0× 100 0.9× 30 0.4× 6 0.1× 24 406
Leiliane Coelho André Brazil 9 55 0.3× 57 0.3× 30 0.3× 151 1.8× 26 0.3× 31 328
Victoria Ruiz‐Calero Spain 11 145 0.7× 74 0.4× 68 0.6× 29 0.3× 16 0.2× 12 345
Xiaomeng Ji China 13 88 0.4× 26 0.1× 26 0.2× 129 1.5× 38 0.5× 34 420
Huan Song China 13 235 1.1× 25 0.1× 46 0.4× 32 0.4× 80 1.0× 21 410

Countries citing papers authored by Na Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Na Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Na Sheng. A scholar is included among the top collaborators of Na Sheng 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 Na Sheng. Na Sheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Sheng, Na, et al.. (2026). Identification of candidate hub genes and key pathways related to growth rate of the red swamp crayfish based on WGCNA analysis. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 58. 101758–101758.
2.
Sheng, Na, et al.. (2025). A Novel LiDAR Echo Signal Denoising Method Based on the VMD-CPO-IWT Algorithm. Sensors. 25(20). 6330–6330.
3.
Zhu, Zhen, Jingya Sun, Qinghe Zeng, et al.. (2024). MGAT4A/Galectin9‐Driven N‐Glycosylation Aberration as a Promoting Mechanism for Poor Prognosis of Endometrial Cancer with TP53 Mutation. Advanced Science. 11(48). e2409764–e2409764. 1 indexed citations
4.
Huang, Mengting, Na Sheng, Tiantian Chen, et al.. (2023). RNAi-mediated knockdown of the mandibular organ-inhibiting hormone (MOIH) gene stimulates vitellogenesis in the Chinese mitten crab Eriocheir sinensis. Fisheries Science. 89(3). 399–408. 3 indexed citations
5.
Chen, Tiantian, Na Sheng, Fan Liu, et al.. (2022). Cloning and expression analysis of juvenile hormone epoxide hydrolase-like (EsJHEH-like) from Eriocheir sinensis, and its potential roles in methyl farnesoate metabolism. Invertebrate Reproduction & Development. 66(1). 23–32. 2 indexed citations
6.
Chen, Tiantian, et al.. (2021). Molecular evidence for farnesoic acid O-methyltransferase (FAMeT) involved in the biosynthesis of vitellogenin in the Chinese mitten crab Eriocheir sinensis. Animal Reproduction Science. 234. 106868–106868. 4 indexed citations
7.
Chen, Tiantian, et al.. (2021). RNAi silencing of the 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGR) gene inhibits vitellogenesis in Chinese mitten crab Eriocheir sinensis. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 263. 111078–111078. 4 indexed citations
8.
Shao, Weiwei, et al.. (2021). Application of fusion 2D lidar and binocular vision in robot locating obstacles. Journal of Intelligent & Fuzzy Systems. 41(3). 4387–4394. 7 indexed citations
9.
Sheng, Na, Xinyu Liu, Yixun Su, et al.. (2020). Knockout of Stat5 in T cells ameliorates high cholesterol and high fat diet-induced hypercholesterolemia by influencing cholesterol metabolism in the liver. Cellular and Molecular Immunology. 5 indexed citations
10.
Liu, Guangquan, Na Sheng, Mi Zhang, et al.. (2020). Peptidome characterization of ovarian cancer serum and the identification of tumor suppressive peptide ZYX36-58. Annals of Translational Medicine. 8(15). 925–925. 7 indexed citations
11.
Sheng, Na, et al.. (2020). Cholesterol 25-hydroxylase protects against experimental colitis in mice by modulating epithelial gut barrier function. Scientific Reports. 10(1). 14246–14246. 16 indexed citations
12.
13.
Gu, Hao, Dang Vinh, Xinyu Liu, et al.. (2018). The STAT3 Target Mettl8 Regulates Mouse ESC Differentiation via Inhibiting the JNK Pathway. Stem Cell Reports. 10(6). 1807–1820. 12 indexed citations
14.
Xu, Luang, Xinyu Liu, Na Sheng, et al.. (2017). Three distinct 3-methylcytidine (m3C) methyltransferases modify tRNA and mRNA in mice and humans. Journal of Biological Chemistry. 292(35). 14695–14703. 164 indexed citations
15.
Sheng, Na, Fangdi Wei, Zheng Cai, et al.. (2012). Dummy molecularly imprinted polymers as the coating of stir bar for sorptive extraction of bisphenol A in tap water. Journal of Separation Science. 35(5-6). 707–712. 29 indexed citations
16.
Zhao, Wenhui, Na Sheng, Rong Zhu, et al.. (2010). Preparation of dummy template imprinted polymers at surface of silica microparticles for the selective extraction of trace bisphenol A from water samples. Journal of Hazardous Materials. 179(1-3). 223–229. 104 indexed citations
17.
Sheng, Na. (2009). Photodynamic Therapy Combined with IMCRT for Cancer:a Clinical Study. 1 indexed citations
18.
Zhu, Rong, Wenhui Zhao, Fangdi Wei, et al.. (2009). Molecularly imprinted layer-coated silica nanoparticles for selective solid-phase extraction of bisphenol A from chemical cleansing and cosmetics samples. Analytica Chimica Acta. 658(2). 209–216. 127 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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