Qing Sheng

8.8k total citations · 1 hit paper
79 papers, 2.7k citations indexed

About

Qing Sheng is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qing Sheng has authored 79 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 21 papers in Oncology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qing Sheng's work include HER2/EGFR in Cancer Research (8 papers), Silk-based biomaterials and applications (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Qing Sheng is often cited by papers focused on HER2/EGFR in Cancer Research (8 papers), Silk-based biomaterials and applications (7 papers) and Histone Deacetylase Inhibitors Research (6 papers). Qing Sheng collaborates with scholars based in China, United States and South Korea. Qing Sheng's co-authors include David M. Livingston, Bing Xia, Xinggang Liu, Jun S. Liu, Maria Jasin, Fergus J. Couch, Jianmin Wu, Nicole Christ, Koji Nakanishi and Akihiro Ohashi and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Qing Sheng

77 papers receiving 2.7k citations

Hit Papers

Control of BRCA2 Cellular and Clinical Functions by a Nuc... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing Sheng China 25 1.8k 824 610 571 272 79 2.7k
Rakesh Kumar India 34 1.9k 1.0× 741 0.9× 404 0.7× 680 1.2× 170 0.6× 107 3.2k
D. Joshua Liao United States 27 1.6k 0.9× 640 0.8× 663 1.1× 376 0.7× 168 0.6× 111 2.6k
Athanassios Kotsinas Greece 25 2.8k 1.6× 1.4k 1.7× 702 1.2× 431 0.8× 288 1.1× 70 3.9k
Michael Ladomery United Kingdom 34 2.9k 1.6× 307 0.4× 721 1.2× 279 0.5× 353 1.3× 74 3.6k
Peiwen Fei United States 23 1.8k 1.0× 825 1.0× 576 0.9× 202 0.4× 157 0.6× 51 2.3k
Ran Brosh Israel 29 2.6k 1.4× 1.5k 1.8× 968 1.6× 294 0.5× 336 1.2× 45 3.7k
Dmitri Mouradov Australia 17 1.4k 0.8× 535 0.6× 776 1.3× 223 0.4× 216 0.8× 32 2.4k
Catherine A. Reznikoff United States 28 2.2k 1.2× 977 1.2× 925 1.5× 549 1.0× 331 1.2× 70 4.1k
Toru Ouchi United States 26 2.1k 1.2× 887 1.1× 424 0.7× 692 1.2× 90 0.3× 57 2.9k
Ran Song China 31 1.4k 0.8× 519 0.6× 366 0.6× 586 1.0× 191 0.7× 74 2.6k

Countries citing papers authored by Qing Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Qing Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Sheng. A scholar is included among the top collaborators of Qing 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 Qing Sheng. Qing 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.
Zhao, Chen, Qing Sheng, Jiating He, et al.. (2025). Mutant THAP11 causes cerebellar neurodegeneration and triggers TREM2-mediated microglial activation in mice. Journal of Clinical Investigation. 135(14). 1 indexed citations
2.
Xiao, Yao, Lujie Ren, Yanan Wang, et al.. (2023). Biochemical Characterization and Functional Analysis of Glucose Regulated Protein 78 from the Silkworm Bombyx mori. International Journal of Molecular Sciences. 24(4). 3964–3964. 2 indexed citations
4.
Sun, Zihan, Yue Liu, Jiao Lv, et al.. (2021). The Acetylation Modification of SP1 Regulates the Protein Stability in Silkworm. Applied Biochemistry and Biotechnology. 194(4). 1621–1635. 5 indexed citations
6.
Zou, Weifeng, Xiaoqian Wang, Wei Hong, et al.. (2020). <p>PM2.5 Induces the Expression of Inflammatory Cytokines via the Wnt5a/Ror2 Pathway in Human Bronchial Epithelial Cells</p>. International Journal of COPD. Volume 15. 2653–2662. 42 indexed citations
7.
Zou, Weifeng, Fang He, Sha Liu, et al.. (2018). PM2.5 Induced the Expression of Fibrogenic Mediators via HMGB1-RAGE Signaling in Human Airway Epithelial Cells. Canadian Respiratory Journal. 2018. 1–10. 20 indexed citations
8.
Xu, Xiaoyuan, Fan Yang, Caiying Jiang, et al.. (2018). Bmo-miR-79 downregulates the expression of BmEm4 in the silkworm, Bombyx mori. Gene. 690. 113–119. 3 indexed citations
9.
Chen, Weicai, Ye Kuang, Haibo Qiu, et al.. (2017). Dual Targeting of Insulin Receptor and KIT in Imatinib-Resistant Gastrointestinal Stromal Tumors. Cancer Research. 77(18). 5107–5117. 28 indexed citations
10.
Liu, Min, Chan Wang, Yue Liu, et al.. (2014). Cloning and Expression Characteristics of the Notch-Associated Gene BmE(spl)mγ from Silkworm, Bombyx mori. Applied Biochemistry and Biotechnology. 173(8). 2065–2075. 2 indexed citations
11.
Zhou, Sha, Lu Liu, H. Li, et al.. (2014). Multipoint targeting of the PI3K/mTOR pathway in mesothelioma. British Journal of Cancer. 110(10). 2479–2488. 77 indexed citations
12.
Nie, Zuoming, Fang Zhou, Dan Li, et al.. (2013). RIP-seq of BmAgo2-associated small RNAs reveal various types of small non-coding RNAs in the silkworm, Bombyx mori. BMC Genomics. 14(1). 661–661. 35 indexed citations
13.
Zheng, Qingliang, Qing Sheng, Caiying Jiang, et al.. (2013). MicroRNA-452 promotes tumorigenesis in hepatocellular carcinoma by targeting cyclin-dependent kinase inhibitor 1B. Molecular and Cellular Biochemistry. 389(1-2). 187–195. 46 indexed citations
14.
Sheng, Qing, et al.. (2011). Gab2 regulates the migratory behaviors and E-cadherin expression via activation of the PI3K pathway in ovarian cancer cells. Oncogene. 31(20). 2512–2520. 66 indexed citations
15.
Sheng, Qing & Jun S. Liu. (2011). The therapeutic potential of targeting the EGFR family in epithelial ovarian cancer. British Journal of Cancer. 104(8). 1241–1245. 142 indexed citations
16.
Sheng, Qing, Xinggang Liu, Eleanor Fleming, et al.. (2010). An Activated ErbB3/NRG1 Autocrine Loop Supports In Vivo Proliferation in Ovarian Cancer Cells. Cancer Cell. 17(3). 298–310. 178 indexed citations
17.
Sheng, Qing, et al.. (2010). Cloning, Expression, and Cell Localization of a Novel Small Heat Shock Protein Gene: BmHSP25.4. Applied Biochemistry and Biotechnology. 162(5). 1297–1305. 9 indexed citations
18.
Clauss, Adam, Joyce F. Liu, Huiying Piao, et al.. (2010). Overexpression of Elafin in Ovarian Carcinoma Is Driven by Genomic Gains and Activation of the Nuclear Factor κB Pathway and Is Associated with Poor Overall Survival. Neoplasia. 12(2). 161–IN15. 55 indexed citations
19.
He, Pingan, Zuoming Nie, Jianqing Chen, et al.. (2008). Identification and characteristics of microRNAs from Bombyx mori. BMC Genomics. 9(1). 248–248. 62 indexed citations
20.
Nie, Zuoming, Jiangtao Xu, Jian Chen, et al.. (2008). Expression Analysis and Characteristics of Profilin Gene from Silkworm, Bombyx mori. Applied Biochemistry and Biotechnology. 158(1). 59–71. 8 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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