Qiancheng Shen

1.9k total citations
33 papers, 1.5k citations indexed

About

Qiancheng Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Qiancheng Shen has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 8 papers in Spectroscopy. Recurrent topics in Qiancheng Shen's work include Computational Drug Discovery Methods (17 papers), Protein Structure and Dynamics (9 papers) and Receptor Mechanisms and Signaling (7 papers). Qiancheng Shen is often cited by papers focused on Computational Drug Discovery Methods (17 papers), Protein Structure and Dynamics (9 papers) and Receptor Mechanisms and Signaling (7 papers). Qiancheng Shen collaborates with scholars based in China, United States and Thailand. Qiancheng Shen's co-authors include Jian Zhang, Shaoyong Lu, Wenkang Huang, Kun Song, Guoqiang Chen, Mingyue Zheng, Xiaomin Luo, Hualiang Jiang, Xinyi Liu and Zhimin Huang and has published in prestigious journals such as Nucleic Acids Research, Accounts of Chemical Research and Bioinformatics.

In The Last Decade

Qiancheng Shen

33 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
Qiancheng Shen China 22 1.1k 536 200 117 116 33 1.5k
Gilbert M. Rishton United States 15 754 0.7× 450 0.8× 323 1.6× 101 0.9× 99 0.9× 17 1.5k
Andreas Evers Germany 21 1.1k 1.0× 528 1.0× 170 0.8× 49 0.4× 121 1.0× 55 1.6k
Danfeng Shi China 21 761 0.7× 220 0.4× 185 0.9× 44 0.4× 155 1.3× 51 1.2k
Johannes Voigt United States 23 1.0k 0.9× 513 1.0× 351 1.8× 94 0.8× 227 2.0× 42 1.5k
Gerhard Heßler Germany 22 1.5k 1.3× 642 1.2× 456 2.3× 100 0.9× 162 1.4× 56 2.1k
Ralph T. Mosley United States 25 814 0.7× 335 0.6× 562 2.8× 72 0.6× 100 0.9× 43 1.7k
Mario Lobell Germany 19 724 0.6× 390 0.7× 222 1.1× 148 1.3× 248 2.1× 32 1.4k
Daniel S. Sem United States 24 1.1k 0.9× 238 0.4× 170 0.8× 286 2.4× 184 1.6× 86 1.8k
Brian Springthorpe United Kingdom 5 879 0.8× 589 1.1× 546 2.7× 128 1.1× 188 1.6× 8 1.8k
Gennadiy Poda United States 16 808 0.7× 665 1.2× 360 1.8× 282 2.4× 230 2.0× 25 1.7k

Countries citing papers authored by Qiancheng Shen

Since Specialization
Citations

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

Fields of papers citing papers by Qiancheng Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiancheng Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Qiancheng Shen. A scholar is included among the top collaborators of Qiancheng Shen 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 Qiancheng Shen. Qiancheng Shen 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.
Li, Hui, Changdong Liu, Xiangru Wen, et al.. (2024). PRDX1 Interfering Peptide Disrupts Amino Acids 70–90 of PRDX1 to Inhibit the TLR4/NF-κB Signaling Pathway and Attenuate Neuroinflammation and Ischemic Brain Injury. Molecular Neurobiology. 61(12). 10705–10721. 2 indexed citations
2.
Wang, Cheng‐Xiang, Tingting Wang, Mingyu Li, et al.. (2022). Pan-KRAS inhibitors suppress proliferation through feedback regulation in pancreatic ductal adenocarcinoma. Acta Pharmacologica Sinica. 43(10). 2696–2708. 12 indexed citations
3.
Liu, Xinyi, Shaoyong Lu, Qiancheng Shen, et al.. (2019). Unraveling allosteric landscapes of allosterome with ASD. Nucleic Acids Research. 48(D1). D394–D401. 55 indexed citations
4.
Song, Kun, Qian Li, Wei Gao, et al.. (2019). AlloDriver: a method for the identification and analysis of cancer driver targets. Nucleic Acids Research. 47(W1). W315–W321. 34 indexed citations
5.
Lu, Shaoyong, Qiancheng Shen, & Jian Zhang. (2019). Allosteric Methods and Their Applications: Facilitating the Discovery of Allosteric Drugs and the Investigation of Allosteric Mechanisms. Accounts of Chemical Research. 52(2). 492–500. 137 indexed citations
6.
Huang, Min, Kun Song, Xinyi Liu, et al.. (2018). AlloFinder: a strategy for allosteric modulator discovery and allosterome analyses. Nucleic Acids Research. 46(W1). W451–W458. 78 indexed citations
7.
An, Xiaoli, Shaoyong Lu, Kun Song, et al.. (2018). Are the Apo Proteins Suitable for the Rational Discovery of Allosteric Drugs?. Journal of Chemical Information and Modeling. 59(1). 597–604. 20 indexed citations
8.
Chen, Zhiwu, Qiancheng Shen, Fuwei Li, et al.. (2018). The high conserved cellular receptors of avian leukosis virus subgroup J in Chinese local chickens contributes to its wide host range. Poultry Science. 97(12). 4187–4192. 12 indexed citations
9.
Song, Kun, Wenkang Huang, Shaoyong Lu, et al.. (2017). Improved Method for the Identification and Validation of Allosteric Sites. Journal of Chemical Information and Modeling. 57(9). 2358–2363. 98 indexed citations
10.
Shen, Qiancheng, Feixiong Cheng, Weiqiang Lü, et al.. (2016). Proteome-Scale Investigation of Protein Allosteric Regulation Perturbed by Somatic Mutations in 7,000 Cancer Genomes. The American Journal of Human Genetics. 100(1). 5–20. 73 indexed citations
11.
Lu, Shaoyong, Wenkang Huang, Qi Wang, et al.. (2015). The Structural Basis of ATP as an Allosteric Modulator. Biophysical Journal. 108(2). 528a–528a. 22 indexed citations
12.
Lu, Shaoyong, Rong Deng, Haiming Jiang, et al.. (2015). The Mechanism of ATP-Dependent Allosteric Protection of Akt Kinase Phosphorylation. Structure. 23(9). 1725–1734. 59 indexed citations
13.
Shen, Qiancheng, Shuai Li, Xinyi Liu, et al.. (2015). ASD v3.0: unraveling allosteric regulation with structural mechanisms and biological networks. Nucleic Acids Research. 44(D1). D527–D535. 106 indexed citations
14.
Li, Shuai, Jingmiao Zhang, Shaoyong Lu, et al.. (2014). The Mechanism of Allosteric Inhibition of Protein Tyrosine Phosphatase 1B. PLoS ONE. 9(5). e97668–e97668. 57 indexed citations
15.
Lu, Jing, Jianlong Peng, Jinan Wang, et al.. (2014). Estimation of acute oral toxicity in rat using local lazy learning. Journal of Cheminformatics. 6(1). 26–26. 31 indexed citations
16.
Shen, Qiancheng, Jing Li, Cheng Luo, et al.. (2013). In Silico Prediction of Cytochrome P450-Mediated Site of Metabolism (SOM). Protein and Peptide Letters. 20(3). 279–289. 8 indexed citations
17.
Li, Shanshan, Qiancheng Shen, Xian Liu, et al.. (2013). Non-Covalent Interactions with Aromatic Rings: Current Understanding and Implications for Rational Drug Design. Current Pharmaceutical Design. 19(36). 6522–6533. 38 indexed citations
18.
Peng, Jianlong, Jing Lu, Qiancheng Shen, et al.. (2013). In silico site of metabolism prediction for human UGT-catalyzed reactions. Bioinformatics. 30(3). 398–405. 28 indexed citations
19.
Liu, Xian, Qiancheng Shen, Ailong Huang, et al.. (2012). Binding sensitivity of adefovir to the polymerase from different genotypes of HBV: molecular modeling, docking and dynamics simulation studies. Acta Pharmacologica Sinica. 34(2). 319–328. 9 indexed citations
20.
Lu, Jing, Mingyue Zheng, Yong Wang, et al.. (2011). Fragment-based prediction of skin sensitization using recursive partitioning. Journal of Computer-Aided Molecular Design. 25(9). 885–893. 10 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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