Sheng Quan

3.9k total citations
36 papers, 1.5k citations indexed

About

Sheng Quan is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Sheng Quan has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Plant Science and 3 papers in Surgery. Recurrent topics in Sheng Quan's work include Genetically Modified Organisms Research (8 papers), CRISPR and Genetic Engineering (7 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Sheng Quan is often cited by papers focused on Genetically Modified Organisms Research (8 papers), CRISPR and Genetic Engineering (7 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Sheng Quan collaborates with scholars based in China, United States and Australia. Sheng Quan's co-authors include Dabing Zhang, Jianping Hu, Jianxin Shi, Steven A. Whitham, Xun Wang, Bret Cooper, Tong Zhu, Hur‐Song Chang, Bram Estes and Sigrun Reumann and has published in prestigious journals such as PLoS ONE, The Plant Cell and Analytical Chemistry.

In The Last Decade

Sheng Quan

35 papers receiving 1.5k 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 Quan China 18 973 842 184 121 100 36 1.5k
Frederik Börnke Germany 32 1.4k 1.5× 2.1k 2.5× 64 0.3× 80 0.7× 57 0.6× 49 2.7k
Sakiko Hirose Japan 29 1.5k 1.5× 1.3k 1.5× 75 0.4× 95 0.8× 166 1.7× 52 2.4k
Misugi Uraji Japan 25 890 0.9× 1.4k 1.6× 43 0.2× 116 1.0× 37 0.4× 59 1.9k
Jan Cordewener Netherlands 31 1.5k 1.6× 1.6k 1.9× 32 0.2× 159 1.3× 63 0.6× 62 2.6k
Rong Zhou China 30 1.1k 1.1× 1.6k 1.8× 61 0.3× 33 0.3× 217 2.2× 81 2.2k
Kranthi K. Mandadi United States 25 982 1.0× 1.4k 1.6× 29 0.2× 73 0.6× 84 0.8× 70 2.1k
M. Luisa Hernández Spain 24 843 0.9× 914 1.1× 712 3.9× 64 0.5× 64 0.6× 47 1.7k
Zhe Zhang China 20 705 0.7× 739 0.9× 36 0.2× 43 0.4× 71 0.7× 86 1.4k
Yu‐Ru Lin China 10 1.5k 1.5× 1.3k 1.6× 35 0.2× 57 0.5× 201 2.0× 16 2.1k

Countries citing papers authored by Sheng Quan

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Quan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Quan. A scholar is included among the top collaborators of Sheng Quan 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 Quan. Sheng Quan 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.
Quan, Sheng, et al.. (2024). Structured training on gross motor skills and physical fitness in 4–5-year-old children. Frontiers in Pediatrics. 12. 1466911–1466911.
2.
Quan, Sheng, Zhinong Jiang, Xingkang He, et al.. (2017). AB-PAS as a potential alternative for the diagnosis of intestinal metaplasia. Biomedical Research-tokyo. 28(10). 4726–4729. 2 indexed citations
3.
Kim, Yu‐Jin, Jianxin Shi, Chaoyang Hu, et al.. (2017). Metabolic dynamics and physiological adaptation of Panax ginseng during development. Plant Cell Reports. 37(3). 393–410. 34 indexed citations
4.
Li, Rong, et al.. (2017). Molecular characterization of genetically-modified crops: Challenges and strategies. Biotechnology Advances. 35(2). 302–309. 35 indexed citations
5.
Yang, Litao, Sheng Quan, & Dabing Zhang. (2017). Endogenous Reference Genes and Their Quantitative Real-Time PCR Assays for Genetically Modified Bread Wheat (Triticum aestivum L.) Detection. Methods in molecular biology. 1679. 259–268. 5 indexed citations
6.
Men, Xiao, Jianxin Shi, Wanqi Liang, et al.. (2016). Glycerol-3-Phosphate Acyltransferase 3 (OsGPAT3) is required for anther development and male fertility in rice. Journal of Experimental Botany. 68(3). erw445–erw445. 61 indexed citations
7.
Hu, Chaoyang, Quan‐Lin Li, Sheng Quan, et al.. (2016). Characterization of factors underlying the metabolic shifts in developing kernels of colored maize. Scientific Reports. 6(1). 35479–35479. 26 indexed citations
8.
Rao, Jun, Litao Yang, Jinchao Guo, et al.. (2015). Metabolic changes in transgenic maize mature seeds over-expressing the Aspergillus niger phyA2. Plant Cell Reports. 35(2). 429–437. 16 indexed citations
10.
Jiang, Yu, Hui Yang, Sheng Quan, et al.. (2015). Development of certified matrix-based reference material of genetically modified rice event TT51-1 for real-time PCR quantification. Analytical and Bioanalytical Chemistry. 407(22). 6731–6739. 8 indexed citations
11.
Wang, Cong, Rong Li, Sheng Quan, et al.. (2015). GMO detection in food and feed through screening by visual loop-mediated isothermal amplification assays. Analytical and Bioanalytical Chemistry. 407(16). 4829–4834. 40 indexed citations
12.
Le, Huangying, Aihu Pan, Junfeng Xu, et al.. (2015). Collaborative trial for the validation of event-specific PCR detection methods of genetically modified papaya Huanong No.1. Food Chemistry. 194. 20–25. 10 indexed citations
13.
Hong, Lin, Jun Rao, Jianxin Shi, et al.. (2014). Seed metabolomic study reveals significant metabolite variations and correlations among different soybean cultivars. Journal of Integrative Plant Biology. 56(9). 826–836. 76 indexed citations
14.
Hu, Chaoyang, Jianxin Shi, Sheng Quan, et al.. (2014). Metabolic variation between japonica and indica rice cultivars as revealed by non-targeted metabolomics. Scientific Reports. 4(1). 5067–5067. 150 indexed citations
15.
Xia, Xiaoping, Rui Rui, Sheng Quan, et al.. (2013). MNS16A Tandem Repeats Minisatellite of Human Telomerase Gene and Cancer Risk: A Meta-Analysis. PLoS ONE. 8(8). e73367–e73367. 7 indexed citations
16.
Quan, Sheng, et al.. (2011). Protective effect of puerarin form the roots of Pueraria lobata against systemic inflammatory response syndrome by regulating the levels of related cytokines. Journal of Medicinal Plants Research. 5(13). 2917–2921. 1 indexed citations
17.
Quan, Sheng, et al.. (2011). Lack of association between MDR1 C3435T polymorphism and chemotherapy response in advanced breast cancer patients: evidence from current studies. Molecular Biology Reports. 39(5). 5161–5168. 17 indexed citations
18.
Quan, Sheng, Yinhai Xu, Xiaoping Xia, Jinfang Zhao, & Jie Yan. (2010). Tripterine induces apoptosis of human acute myelocytic leukemic cells via up-regulating Fas/FasL and down-regulating NF-κB. African Journal of Pharmacy and Pharmacology. 4(7). 431–435. 1 indexed citations
19.
Whitham, Steven A., Sheng Quan, Hur‐Song Chang, et al.. (2003). Diverse RNA viruses elicit the expression of common sets of genes in susceptible Arabidopsis thaliana plants. The Plant Journal. 33(2). 271–283. 288 indexed citations
20.
Quan, Sheng, et al.. (1996). Completion of the nucleotide sequence of sunn-hemp mosaic virus: A tobamovirus pathogenic to legumes. Virus Genes. 13(1). 83–85. 16 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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