Qian Shi

2.1k total citations
30 papers, 1.7k citations indexed

About

Qian Shi is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Qian Shi has authored 30 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Qian Shi's work include Microtubule and mitosis dynamics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Connexins and lens biology (4 papers). Qian Shi is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Connexins and lens biology (4 papers). Qian Shi collaborates with scholars based in United States, China and Taiwan. Qian Shi's co-authors include J. Dirk Iglehart, Arthur B. Pardee, Debajit K. Biswas, Qinghua Xiong, Xiangdong Le, Keping Xie, Bailiang Wang, James L. Abbruzzese, Ian Strickland and Sankar Ghosh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Qian Shi

29 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qian Shi United States 14 1.1k 560 438 192 189 30 1.7k
Seung Bae Rho South Korea 28 1.6k 1.5× 436 0.8× 409 0.9× 160 0.8× 243 1.3× 83 2.3k
Amadeo M. Parissenti Canada 24 986 0.9× 322 0.6× 482 1.1× 233 1.2× 130 0.7× 68 1.6k
Eliana Abdelhay Brazil 26 1.1k 1.0× 452 0.8× 474 1.1× 99 0.5× 244 1.3× 125 2.0k
Kyu Heo South Korea 30 1.4k 1.3× 366 0.7× 380 0.9× 93 0.5× 165 0.9× 58 2.0k
Petra Obexer Austria 24 1.2k 1.0× 325 0.6× 396 0.9× 116 0.6× 248 1.3× 43 1.8k
Zhu Yuan China 24 1.0k 0.9× 274 0.5× 394 0.9× 125 0.7× 180 1.0× 68 1.4k
Hasem Habelhah United States 23 1.6k 1.4× 722 1.3× 426 1.0× 207 1.1× 445 2.4× 37 2.1k
Jong Kuk Park South Korea 25 1.2k 1.1× 365 0.7× 552 1.3× 130 0.7× 135 0.7× 53 1.8k
Anne‐Marie Faussat France 26 1.1k 1.0× 242 0.4× 648 1.5× 180 0.9× 164 0.9× 46 1.9k
Maria Chiara De Santis Italy 14 1.0k 0.9× 333 0.6× 287 0.7× 189 1.0× 124 0.7× 18 1.6k

Countries citing papers authored by Qian Shi

Since Specialization
Citations

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

Fields of papers citing papers by Qian Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qian Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Qian Shi. A scholar is included among the top collaborators of Qian Shi 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 Qian Shi. Qian Shi 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.
2.
Shi, Qian, et al.. (2025). Tubulin Polymerization Promoting Proteins: Functional Diversity With Implications in Neurological Disorders. Journal of Neuroscience Research. 103(5). e70044–e70044. 1 indexed citations
3.
Shi, Qian, Min Yuan, Hui Cao, et al.. (2024). A novel strategy for enhancing the stability of aptamer conformations in heavy metal ion detection. Analytica Chimica Acta. 1306. 342577–342577. 8 indexed citations
4.
Shi, Qian, Ying He, Jingjing Li, et al.. (2023). RP11-296E3.2 acts as an important molecular chaperone for YBX1 and promotes colorectal cancer proliferation and metastasis by activating STAT3. Journal of Translational Medicine. 21(1). 418–418. 12 indexed citations
5.
Chen, Gan‐Lin, Bo Lin, Fengjin Zheng, et al.. (2022). Comparison of Different Drying Methods for Asparagus [Asparagus cochinchinensis (Lour.) Merr.] Root Volatile Compounds as Revealed Using Gas Chromatography Ion Mobility Spectrometry. Frontiers in Nutrition. 9. 868209–868209. 8 indexed citations
6.
Shi, Qian, et al.. (2019). The complete mitochondrial genome sequence and phylogenetic analysis for Rhabdophis himalayanus (Squamata: Colubridae). SHILAP Revista de lepidopterología. 4(1). 705–706. 2 indexed citations
7.
Shi, Qian, Yong Lin, Afaf Saliba, et al.. (2019). Tubulin Polymerization Promoting Protein, Ringmaker, and MAP1B Homolog Futsch Coordinate Microtubule Organization and Synaptic Growth. Frontiers in Cellular Neuroscience. 13. 192–192. 13 indexed citations
8.
Zhu, Guangxiang, et al.. (2019). The complete mitochondrial genome and phylogenetic analysis of Rhabdophis adleri (Squamata: Colubridae). SHILAP Revista de lepidopterología. 4(1). 423–425. 2 indexed citations
9.
Shi, Qian, et al.. (2017). A Strategy for Screening Monoclonal Antibodies for Arabidopsis Flowers. Frontiers in Plant Science. 8. 270–270. 3 indexed citations
10.
Zheng, Fei-Meng, Caifeng Yue, Guohui Li, et al.. (2016). Nuclear AURKA acquires kinase-independent transactivating function to enhance breast cancer stem cell phenotype. Nature Communications. 7(1). 10180–10180. 146 indexed citations
11.
12.
Zhang, Bo, et al.. (2016). The Activity-Dependent Regulation of Protein Kinase Stability by the Localization to P-Bodies. Genetics. 203(3). 1191–1202. 18 indexed citations
13.
Qiao, Meng, Yaqi Wang, Xiao‐En Xu, et al.. (2010). Mst1 Is an Interacting Protein that Mediates PHLPPs' Induced Apoptosis. Molecular Cell. 38(4). 512–523. 110 indexed citations
14.
Biswas, Debajit K., et al.. (2005). Crossroads of Estrogen Receptor and NF-κB Signaling. Science s STKE. 2005(288). 112 indexed citations
15.
Biswas, Debajit K., Qian Shi, Ian Strickland, et al.. (2004). NF-κB activation in human breast cancer specimens and its role in cell proliferation and apoptosis. Proceedings of the National Academy of Sciences. 101(27). 10137–10142. 379 indexed citations
16.
Wang, Bailiang, et al.. (2001). Genetic disruption of host nitric oxide synthase II gene impairs melanoma‐induced angiogenesis and suppresses pleural effusion. International Journal of Cancer. 91(5). 607–611. 2 indexed citations
17.
Shi, Qian, Xiangdong Le, Bailiang Wang, et al.. (2001). Regulation of vascular endothelial growth factor expression by acidosis in human cancer cells. Oncogene. 20(28). 3751–3756. 211 indexed citations
18.
Shi, Qian, Xiangdong Le, James L. Abbruzzese, et al.. (2001). Constitutive Sp1 activity is essential for differential constitutive expression of vascular endothelial growth factor in human pancreatic adenocarcinoma.. PubMed. 61(10). 4143–54. 262 indexed citations
19.
Shi, Qian, Xiangdong Le, J. L. Abbruzzese, et al.. (1999). Cooperation Between Transcription Factor AP-1 and NF-kappa B in the Induction of Interleukin-8 in Human Pancreatic Adenocarcinoma Cells by Hypoxia. Journal of Interferon & Cytokine Research. 19(12). 1363–1371. 91 indexed citations
20.
Wang, Hongwei, et al.. (1998). Construction and expression of inverted configuration of retroviral vector containing intron 1 of hFIX. Chinese Science Bulletin. 43(4). 315–318. 1 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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