Qing-Shan Wang

645 total citations
10 papers, 462 citations indexed

About

Qing-Shan Wang is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Qing-Shan Wang has authored 10 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Qing-Shan Wang's work include FOXO transcription factor regulation (5 papers), Bone health and treatments (3 papers) and Bone Metabolism and Diseases (3 papers). Qing-Shan Wang is often cited by papers focused on FOXO transcription factor regulation (5 papers), Bone health and treatments (3 papers) and Bone Metabolism and Diseases (3 papers). Qing-Shan Wang collaborates with scholars based in China. Qing-Shan Wang's co-authors include Yu-Mei Feng, Xiaoqing Li, Xin Du, Rui He, Fan Yang, Yan Sun, Jun Cai, Zihan Yu, Yue Yu and Fan Yang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer Research.

In The Last Decade

Qing-Shan Wang

10 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing-Shan Wang China	9	344	174	136	51	40	10	462
Josephine Iaria Australia	11	308 0.9×	203 1.2×	92 0.7×	35 0.7×	76 1.9×	14	459
Jian-chuan Xia China	10	342 1.0×	118 0.7×	114 0.8×	39 0.8×	32 0.8×	12	398
Suyun Huang United States	6	293 0.9×	99 0.6×	80 0.6×	29 0.6×	47 1.2×	7	362
Vera Kloten Germany	13	326 0.9×	180 1.0×	241 1.8×	73 1.4×	48 1.2×	16	502
Soonweng Cho United States	14	415 1.2×	163 0.9×	213 1.6×	75 1.5×	37 0.9×	24	580
Anthony G. Clementz United States	8	321 0.9×	220 1.3×	84 0.6×	68 1.3×	28 0.7×	9	497
Weiyu Ge China	9	324 0.9×	173 1.0×	181 1.3×	64 1.3×	79 2.0×	20	502
Qiu-Wan Wu China	11	308 0.9×	143 0.8×	206 1.5×	43 0.8×	49 1.2×	14	460
Jean-Charles Neel Canada	4	303 0.9×	170 1.0×	178 1.3×	41 0.8×	77 1.9×	6	483
Sahra Borgés United States	11	316 0.9×	141 0.8×	89 0.7×	48 0.9×	42 1.1×	13	432

Countries citing papers authored by Qing-Shan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Qing-Shan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing-Shan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qing-Shan Wang. A scholar is included among the top collaborators of Qing-Shan Wang 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-Shan Wang. Qing-Shan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Zhang, Rui, et al.. (2024). Breast Cancer Subtype–Specific Organotropism Is Dictated by FOXF2-Regulated Metastatic Dormancy and Recovery. Cancer Research. 85(4). 644–659. 4 indexed citations

Wang, Qing-Shan, Rui He, Fan Yang, et al.. (2018). FOXF2 deficiency permits basal-like breast cancer cells to form lymphangiogenic mimicry by enhancing the response of VEGF-C/VEGFR3 signaling pathway. Cancer Letters. 420. 116–126. 25 indexed citations

Yu, Zihan, et al.. (2017). Dual function of MAZ mediated by FOXF2 in basal-like breast cancer: Promotion of proliferation and suppression of progression. Cancer Letters. 402. 142–152. 33 indexed citations

Li, Xiaoqing, et al.. (2016). Breast cancer cells obtain an osteomimetic featureviaepithelial-mesenchymal transition that have undergone BMP2/RUNX2 signaling pathway induction. Oncotarget. 7(48). 79688–79705. 45 indexed citations

Li, Xiaoqing, et al.. (2016). RUNX2 promotes breast cancer bone metastasis by increasing integrin α5-mediated colonization. Cancer Letters. 380(1). 78–86. 74 indexed citations

Li, Xiaoqing, et al.. (2015). ITGBL1 Is a Runx2 Transcriptional Target and Promotes Breast Cancer Bone Metastasis by Activating the TGFβ Signaling Pathway. Cancer Research. 75(16). 3302–3313. 78 indexed citations

Wang, Qing-Shan, et al.. (2015). FOXF2 deficiency promotes epithelial-mesenchymal transition and metastasis of basal-like breast cancer. Breast Cancer Research. 17(1). 30–30. 59 indexed citations

Cai, Jun, et al.. (2015). FOXF2 suppresses the FOXC2-mediated epithelial–mesenchymal transition and multidrug resistance of basal-like breast cancer. Cancer Letters. 367(2). 129–137. 71 indexed citations

He, Rui, et al.. (2015). DNA Methylation Affects the SP1-regulated Transcription of FOXF2 in Breast Cancer Cells. Journal of Biological Chemistry. 290(31). 19173–19183. 46 indexed citations

10.

Ge, Jie, Qing-Shan Wang, Yue Yu, et al.. (2013). The GSTP1 105Val Allele Increases Breast Cancer Risk and Aggressiveness but Enhances Response to Cyclophosphamide Chemotherapy in North China. PLoS ONE. 8(6). e67589–e67589. 27 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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