Shun‐Quan Wu

787 total citations
25 papers, 643 citations indexed

About

Shun‐Quan Wu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shun‐Quan Wu has authored 25 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cancer Research and 6 papers in Genetics. Recurrent topics in Shun‐Quan Wu's work include MicroRNA in disease regulation (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Shun‐Quan Wu is often cited by papers focused on MicroRNA in disease regulation (11 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Multiple Myeloma Research and Treatments (5 papers). Shun‐Quan Wu collaborates with scholars based in China and United States. Shun‐Quan Wu's co-authors include Xianghuo He, Shenglin Huang, Rong Zhan, Jie Ding, Jianren Gu, Linhui Liang, Yingjun Zhao, Jun Lin, Mingxia Yan and Hong Tu and has published in prestigious journals such as Nucleic Acids Research, Blood and Nature Cell Biology.

In The Last Decade

Shun‐Quan Wu

22 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shun‐Quan Wu China 11 520 460 65 42 31 25 643
Giorgia Pilotto Italy 10 397 0.8× 257 0.6× 183 2.8× 55 1.3× 22 0.7× 11 550
Alison M. Urvalek United States 16 655 1.3× 185 0.4× 125 1.9× 68 1.6× 30 1.0× 18 772
Kar Lok Kong Hong Kong 7 725 1.4× 383 0.8× 122 1.9× 56 1.3× 22 0.7× 8 872
Xupeng Yue China 13 333 0.6× 214 0.5× 96 1.5× 78 1.9× 52 1.7× 16 532
Mingtai Chen China 12 350 0.7× 290 0.6× 62 1.0× 69 1.6× 12 0.4× 23 511
Agnieszka Dzikiewicz‐Krawczyk Poland 13 405 0.8× 289 0.6× 80 1.2× 56 1.3× 30 1.0× 35 506
Laura M. Urbanski United States 6 461 0.9× 157 0.3× 49 0.8× 32 0.8× 18 0.6× 10 538
Rongxia Liao China 10 292 0.6× 245 0.5× 118 1.8× 32 0.8× 12 0.4× 18 429
Joseph R. Boyd United States 14 394 0.8× 140 0.3× 101 1.6× 45 1.1× 15 0.5× 29 529
Mohammadreza Hajjari Iran 12 755 1.5× 738 1.6× 52 0.8× 19 0.5× 32 1.0× 46 896

Countries citing papers authored by Shun‐Quan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Quan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Quan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Quan Wu. A scholar is included among the top collaborators of Shun‐Quan Wu 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 Shun‐Quan Wu. Shun‐Quan Wu 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.
Wu, Shun‐Quan, et al.. (2023). Efficacy and safety of tandem autologous stem cell transplantation in multiple myeloma: a retrospective single-center analysis. Chinese Medical Journal. 136(15). 1873–1875. 1 indexed citations
2.
Tian, Yan, Mingfeng Zhang, Mingjie Fan, et al.. (2022). A miRNA-mediated attenuation of hepatocarcinogenesis in both hepatocytes and Kupffer cells. Molecular Therapy — Nucleic Acids. 30. 1–12. 11 indexed citations
3.
4.
Liang, Huixin, et al.. (2018). SENP2 exerts an anti‑tumor effect on chronic lymphocytic leukemia cells through the inhibition of the Notch and NF‑κB signaling pathways. International Journal of Oncology. 54(2). 455–466. 10 indexed citations
5.
6.
Wu, Shun‐Quan, et al.. (2016). miR-299-5p promotes cell growth and regulates G1/S transition by targeting p21Cip1/Waf1 in acute promyelocytic leukemia. Oncology Letters. 12(1). 741–747. 12 indexed citations
7.
Wu, Shun‐Quan, et al.. (2016). miR-203 inhibits cell growth and regulates G1/S transition by targeting Bmi-1 in myeloma cells. Molecular Medicine Reports. 14(5). 4795–4801. 19 indexed citations
8.
Huang, Haobo, Liping Fan, Rong Zhan, Shun‐Quan Wu, & Wenyan Niu. (2015). Expression of microRNA-10a, microRNA-342-3p and their predicted target gene TIAM1 in extranodal NK/T-cell lymphoma, nasal type. Oncology Letters. 11(1). 345–351. 20 indexed citations
9.
Xu, Zhenshu, Jingyan Zhang, Shun‐Quan Wu, et al.. (2015). Constitutive activation of NF-κB signaling by NOTCH1 mutations in chronic lymphocytic leukemia. Oncology Reports. 33(4). 1609–1614. 14 indexed citations
10.
Zhan, Rong, et al.. (2015). [Growth Inhibition of Multiple Myeloma Cells Caused by MicroRNA-15a and Its Mechanisms].. PubMed. 23(3). 706–12. 1 indexed citations
11.
Wu, Shun‐Quan, Zhenzhen Xu, Wenyan Niu, Haobo Huang, & Rong Zhan. (2014). shRNA-mediated Bmi-1 silencing sensitizes multiple myeloma cells to bortezomib. International Journal of Molecular Medicine. 34(2). 616–623. 10 indexed citations
12.
Niu, Wenyan, Shun‐Quan Wu, Zhenzhen Xu, Jun Lin, & Rong Zhan. (2014). [Anti-leukemia mechanism of miR-17 and miR-20a silencing mediated by miRNA sponge].. PubMed. 22(4). 932–7. 3 indexed citations
13.
Xu, Zhenshu, Jinyan Zhang, Shun‐Quan Wu, et al.. (2013). Younger patients with chronic lymphocytic leukemia benefit from rituximab treatment: A single center study in China. Oncology Letters. 5(4). 1266–1272. 7 indexed citations
14.
Xu, Zhenshu, Jinyan Zhang, Rong Zhan, et al.. (2012). [A case of Richter syndrome transformed from chronic lymphocytic leukemia with karyotype aberration of trisomy 12].. PubMed. 20(2). 287–90. 2 indexed citations
15.
Wu, Shun‐Quan, Zhenzhen Xu, Jun Lin, & Rong Zhan. (2012). [Construction of miRNA sponge targeting miR-20a and stable expression in Jurkat leukemia cell line].. PubMed. 20(5). 1056–62. 4 indexed citations
16.
Lin, Jun, Shenglin Huang, Shun‐Quan Wu, et al.. (2011). MicroRNA-423 promotes cell growth and regulates G 1 /S transition by targeting p21Cip1/Waf1 in hepatocellular carcinoma. Carcinogenesis. 32(11). 1641–1647. 104 indexed citations
17.
Zhan, Rong, Shun‐Quan Wu, Haobo Huang, Shenlin Huang, & Jun Lin. (2010). [Gfi-1 expression in leukemia patients and inhibitory effects of lentiviral vector mediated silence of Gfi-1 gene on proliferation in K562 cells].. PubMed. 18(4). 849–54. 2 indexed citations
18.
Ding, Jie, Shenglin Huang, Shun‐Quan Wu, et al.. (2010). Gain of miR-151 on chromosome 8q24.3 facilitates tumour cell migration and spreading through downregulating RhoGDIA. Nature Cell Biology. 12(4). 390–399. 261 indexed citations
19.
Tian, Shu, Shenglin Huang, Shun‐Quan Wu, et al.. (2010). MicroRNA-1285 inhibits the expression of p53 by directly targeting its 3′ untranslated region. Biochemical and Biophysical Research Communications. 396(2). 435–439. 74 indexed citations
20.
Huang, Shenglin, Shun‐Quan Wu, Jie Ding, et al.. (2010). MicroRNA-181a modulates gene expression of zinc finger family members by directly targeting their coding regions. Nucleic Acids Research. 38(20). 7211–7218. 75 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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