Qi Sheng

804 total citations
29 papers, 580 citations indexed

About

Qi Sheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Qi Sheng has authored 29 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Qi Sheng's work include Neurobiology and Insect Physiology Research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Qi Sheng is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). Qi Sheng collaborates with scholars based in China, United Kingdom and United States. Qi Sheng's co-authors include David E. Featherstone, Kai‐Yun Chen, Faith L. W. Liebl, Yaël Grosjean, Hrvoje Augustin, Xiaoyu Wu, Bin Zhang, Jeffrey Rohrbough, Christopher K. Rodesch and Kendal Broadie and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Qi Sheng

28 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Sheng China 13 279 252 97 82 61 29 580
Raquel Ruivo Portugal 18 321 1.2× 132 0.5× 109 1.1× 130 1.6× 81 1.3× 60 1.0k
Jannette Rusch United States 16 670 2.4× 323 1.3× 41 0.4× 252 3.1× 54 0.9× 21 1.1k
Matthew Sieber United States 11 291 1.0× 237 0.9× 44 0.5× 29 0.4× 86 1.4× 15 659
Wolfgang Mages Germany 13 615 2.2× 194 0.8× 66 0.7× 96 1.2× 19 0.3× 18 884
Keiko Kashiwagi Japan 19 555 2.0× 59 0.2× 95 1.0× 78 1.0× 98 1.6× 49 1.1k
Marı́a Luz Montesinos Spain 19 786 2.8× 206 0.8× 196 2.0× 237 2.9× 70 1.1× 25 1.2k
Misako Taniguchi Japan 14 510 1.8× 362 1.4× 46 0.5× 216 2.6× 49 0.8× 32 952
Xiaohang Huang China 16 511 1.8× 162 0.6× 95 1.0× 231 2.8× 23 0.4× 36 806
Samantha Hughes Netherlands 13 256 0.9× 79 0.3× 33 0.3× 28 0.3× 23 0.4× 27 542
Irena Gokhman Israel 13 376 1.3× 135 0.5× 43 0.4× 82 1.0× 25 0.4× 15 684

Countries citing papers authored by Qi Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Qi Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Sheng. A scholar is included among the top collaborators of Qi 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 Qi Sheng. Qi Sheng 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.
Sheng, Qi, et al.. (2025). Constructing a potential HLA haplo-homozygous induced pluripotent stem cell haplobank using data from an umbilical cord blood bank. Stem Cell Research & Therapy. 16(1). 42–42. 1 indexed citations
3.
Ge, Yanyan, Qi Sheng, Lijing Sun, Linyan He, & Xiafang Sheng. (2024). The quorum sensing SinI/SinR-TraI/TraR systems promote Pb stabilization by Ensifer adhaerens S24 in the Pb-polluted aquatic environment. Journal of Hazardous Materials. 478. 135477–135477. 2 indexed citations
4.
Li, Yixuan, Qi Sheng, Jiayao Li, et al.. (2024). Sarcopenia is a prognostic factor in lymphoma patients: a systematic review and meta-analysis. Leukemia & lymphoma. 65(11). 1595–1608. 3 indexed citations
5.
Sun, Lijing, Qi Sheng, Yanyan Ge, Linyan He, & Xiafang Sheng. (2024). The quorum sensing SinI/R system contributes to cadmium immobilization in Ensifer adhaerens NER9 in the cadmium-contaminated solution. Journal of Hazardous Materials. 470. 134300–134300. 10 indexed citations
6.
Sheng, Qi, Zhuowei Chen, Peiling Yang, et al.. (2023). In situ visualization of Braun’s lipoprotein on E. coli sacculi. Science Advances. 9(3). eadd8659–eadd8659. 4 indexed citations
7.
Wang, Yaping, et al.. (2023). Combined biochar and wheat-derived endophytic bacteria reduces cadmium uptake in wheat grains in a metal-polluted soil. Journal of Environmental Sciences. 147. 165–178. 6 indexed citations
8.
Jiang, Wenxin, Ping‐Yi Li, Xiu‐Lan Chen, et al.. (2022). A pathway for chitin oxidation in marine bacteria. Nature Communications. 13(1). 5899–5899. 34 indexed citations
9.
Sheng, Qi, et al.. (2022). Shikimic acid biosynthesis in microorganisms: Current status and future direction. Biotechnology Advances. 62. 108073–108073. 32 indexed citations
10.
Sheng, Qi, et al.. (2022). Serum 25-hydroxyvitamin D levels and the risk of non-alcoholic fatty liver. Saudi Journal of Gastroenterology. 29(1). 39–46. 2 indexed citations
11.
Sheng, Qi, et al.. (2021). Production of l-glutamate family amino acids in Corynebacterium glutamicum: Physiological mechanism, genetic modulation, and prospects. Synthetic and Systems Biotechnology. 6(4). 302–325. 30 indexed citations
12.
Sheng, Qi, Xiaoyu Wu, Yan Jiang, et al.. (2021). Highly efficient biosynthesis of l-ornithine from mannitol by using recombinant Corynebacterium glutamicum. Bioresource Technology. 327. 124799–124799. 11 indexed citations
13.
Zou, Shu‐Ping, et al.. (2021). Functional expression of an echinocandin B deacylase from Actinoplanes utahensis in Escherichia coli. International Journal of Biological Macromolecules. 187. 850–857. 5 indexed citations
14.
Jiang, Yan, Qi Sheng, Xiaoyu Wu, Bang‐Ce Ye, & Bin Zhang. (2020). l-arginine production in Corynebacterium glutamicum: manipulation and optimization of the metabolic process. Critical Reviews in Biotechnology. 41(2). 172–185. 21 indexed citations
15.
Chen, Xiu‐Lan, Xiaoyu Zheng, Qi Sheng, et al.. (2019). Tripeptides From Casein Are Signal Molecules to Induce the Expression of the Extracellular Protease MCP-01 Gene in Marine Bacterium Pseudoalteromonas sp. SM9913. Frontiers in Microbiology. 10. 1354–1354. 5 indexed citations
16.
Yu, Yang, Qi Sheng, Xiaoyu Zheng, et al.. (2016). Identification of Four Kinds of 2′,3′-cNMPs in Escherichia coli and a Method for Their Preparation. ACS Chemical Biology. 11(9). 2414–2419. 5 indexed citations
17.
Chen, Kai‐Yun, et al.. (2010). Neurexin in Embryonic Drosophila Neuromuscular Junctions. PLoS ONE. 5(6). e11115–e11115. 36 indexed citations
18.
Liebl, Faith L. W., et al.. (2006). Genome‐wideP‐element screen forDrosophilasynaptogenesis mutants. Journal of Neurobiology. 66(4). 332–347. 33 indexed citations
19.
Featherstone, David E., Emma Rushton, Jeffrey Rohrbough, et al.. (2005). An EssentialDrosophilaGlutamate Receptor Subunit That Functions in Both Central Neuropil and Neuromuscular Junction. Journal of Neuroscience. 25(12). 3199–3208. 107 indexed citations
20.
Liebl, Faith L. W., et al.. (2005). Increased synaptic microtubules and altered synapse development in Drosophila sec8 mutants. BMC Biology. 3(1). 27–27. 30 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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