Weiping Shu

10.1k total citations · 5 hit papers
25 papers, 7.6k citations indexed

About

Weiping Shu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Weiping Shu has authored 25 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Cancer Research. Recurrent topics in Weiping Shu's work include Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Weiping Shu is often cited by papers focused on Protease and Inhibitor Mechanisms (4 papers), Cell Adhesion Molecules Research (4 papers) and Epigenetics and DNA Methylation (3 papers). Weiping Shu collaborates with scholars based in United States, China and Canada. Weiping Shu's co-authors include Joan Massagué, Peter M. Siegel, Paula D. Bos, Andy J. Minn, William L. Gerald, Yibin Kang, Theresa A. Guise, Carlos Cordon‐Cardo, Marija Drobnjak and Sanna-Maria Käkönen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Weiping Shu

23 papers receiving 7.5k citations

Hit Papers

Genes that mediate breast cancer metastasis to lung 2003 2026 2010 2018 2005 2003 2009 2015 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiping Shu United States 16 4.4k 3.8k 2.2k 1.2k 719 25 7.6k
Gaorav P. Gupta United States 28 5.5k 1.2× 4.4k 1.2× 2.9k 1.3× 1.1k 1.0× 899 1.3× 76 9.5k
Marcella Mottolese Italy 45 3.5k 0.8× 3.1k 0.8× 1.5k 0.7× 916 0.8× 798 1.1× 224 7.2k
Andrea L. Richardson United States 30 4.8k 1.1× 4.2k 1.1× 3.1k 1.4× 883 0.7× 1.3k 1.8× 41 8.9k
Paula D. Bos United States 17 5.1k 1.2× 4.2k 1.1× 3.5k 1.6× 1.3k 1.1× 1.5k 2.1× 33 9.5k
Shan Man Canada 45 4.1k 0.9× 3.7k 1.0× 2.8k 1.3× 1.2k 1.1× 772 1.1× 83 7.5k
Pnina Brodt Canada 46 3.2k 0.7× 2.5k 0.7× 2.2k 1.0× 689 0.6× 1.1k 1.5× 115 6.8k
Katrin Lamszus Germany 53 3.8k 0.9× 2.2k 0.6× 2.1k 1.0× 990 0.8× 1.0k 1.4× 154 7.8k
Qing Shi China 11 4.1k 0.9× 3.7k 1.0× 2.6k 1.2× 603 0.5× 677 0.9× 19 7.5k
Oriol Casanovas Spain 32 3.8k 0.9× 2.3k 0.6× 2.1k 1.0× 896 0.8× 591 0.8× 70 6.2k
Roger R. Gomis Spain 30 3.4k 0.8× 2.5k 0.7× 1.6k 0.7× 889 0.8× 544 0.8× 67 6.0k

Countries citing papers authored by Weiping Shu

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Shu. A scholar is included among the top collaborators of Weiping Shu 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 Weiping Shu. Weiping Shu 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.
Shu, Weiping, Sha Jin, Huan Zhang, et al.. (2023). Salinity Inversion of Flat Sea Surface Based on Deep Neural Network. SHILAP Revista de lepidopterología. 4.
3.
Su, Jie, Sophie M. Morgani, Charles J. David, et al.. (2020). TGF-β orchestrates fibrogenic and developmental EMTs via the RAS effector RREB1. Nature. 577(7791). 566–571. 359 indexed citations breakdown →
4.
Aragón, Eric, Qiong Wang, Yilong Zou, et al.. (2019). Structural basis for distinct roles of SMAD2 and SMAD3 in FOXH1 pioneer-directed TGF-β signaling. Genes & Development. 33(21-22). 1506–1524. 72 indexed citations
5.
Wang, Qiong, Yilong Zou, Sonja Nowotschin, et al.. (2016). The p53 Family Coordinates Wnt and Nodal Inputs in Mesendodermal Differentiation of Embryonic Stem Cells. Cell stem cell. 20(1). 70–86. 119 indexed citations
6.
Obenauf, Anna C., Yilong Zou, Andrew L. Ji, et al.. (2015). Therapy-induced tumour secretomes promote resistance and tumour progression. Nature. 520(7547). 368–372. 364 indexed citations breakdown →
7.
Vanharanta, Sakari, Christina B Marney, Weiping Shu, et al.. (2014). Loss of the multifunctional RNA-binding protein RBM47 as a source of selectable metastatic traits in breast cancer. eLife. 3. 112 indexed citations
8.
Vanharanta, Sakari, Weiping Shu, Fabienne Brenet, et al.. (2012). Epigenetic expansion of VHL-HIF signal output drives multiorgan metastasis in renal cancer. Nature Medicine. 19(1). 50–56. 162 indexed citations
9.
Yoshida, Mitsukuni, Xiang H.-F. Zhang, Weiping Shu, et al.. (2011). MicroRNA-335 inhibits tumor reinitiation and is silenced through genetic and epigenetic mechanisms in human breast cancer. Genes & Development. 25(3). 226–231. 174 indexed citations
10.
Bos, Paula D., Xiang H.-F. Zhang, Cristina Nadal, et al.. (2009). Genes that mediate breast cancer metastasis to the brain. Nature. 459(7249). 1005–1009. 1362 indexed citations breakdown →
11.
Shu, Weiping. (2005). The related factors in diagnosing early-phase hepatic cancer in young patients with hepatitis or cirrhosis. 1 indexed citations
12.
Minn, Andy J., Gaorav P. Gupta, Peter M. Siegel, et al.. (2005). Genes that mediate breast cancer metastasis to lung. Nature. 436(7050). 518–524. 2234 indexed citations breakdown →
13.
Kang, Yibin, Peter M. Siegel, Weiping Shu, et al.. (2003). A multigenic program mediating breast cancer metastasis to bone. Cancer Cell. 3(6). 537–549. 1970 indexed citations breakdown →
14.
Siegel, Peter M., Weiping Shu, & Joan Massagué. (2003). Mad Upregulation and Id2 Repression Accompany Transforming Growth Factor (TGF)-β-mediated Epithelial Cell Growth Suppression. Journal of Biological Chemistry. 278(37). 35444–35450. 74 indexed citations
15.
Zeng, Zhaoshi, Yi Sun, Weiping Shu, & José G. Guillem. (2001). Tissue inhibitor of metalloproteinase-3 is a basement membrane-associated protein that is significantly decreased in human colorectal cancer. Diseases of the Colon & Rectum. 44(9). 1290–1296. 14 indexed citations
16.
Chaudhry, Vivek, et al.. (1999). Metastatic and non-metastatic colorectal cancer (CRC) cells induce host metalloproteinase production in vivo. Clinical & Experimental Metastasis. 17(4). 339–348. 32 indexed citations
17.
Shu, Weiping, et al.. (1996). Specific sequences of fibronectin activate the protein kinase C signal transduction pathway in invasive bladder cancer. Cancer Letters. 100(1-2). 163–168. 6 indexed citations
18.
Robbins, Steven E., Weiping Shu, Alexander Kirschenbaum, et al.. (1996). Bone extracellular matrix induces homeobox proteins independent of androgens: Possible mechanism for androgen-independent growth in human prostate cancer cells. The Prostate. 29(6). 362–370. 11 indexed citations
19.
Miniati, Douglas N., Yongli Chang, Weiping Shu, Donna M. Peehl, & Brian C.‐S. Liu. (1996). Role of prostatic basal cells in the regulation and suppression of human prostate cancer cells. Cancer Letters. 104(2). 137–144. 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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