Sha Wang

3.7k total citations · 2 hit papers
112 papers, 2.7k citations indexed

About

Sha Wang is a scholar working on Molecular Biology, Reproductive Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Sha Wang has authored 112 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 25 papers in Reproductive Medicine and 20 papers in Obstetrics and Gynecology. Recurrent topics in Sha Wang's work include Endometriosis Research and Treatment (24 papers), Reproductive System and Pregnancy (12 papers) and Uterine Myomas and Treatments (12 papers). Sha Wang is often cited by papers focused on Endometriosis Research and Treatment (24 papers), Reproductive System and Pregnancy (12 papers) and Uterine Myomas and Treatments (12 papers). Sha Wang collaborates with scholars based in China, United States and Hong Kong. Sha Wang's co-authors include Hua Duan, Kuljeet Singh Sandhu, Vinod Pant, Vijay Tiwari, Piero Mariano, Rolf Ohlsson, Gholamreza Tavoosidana, Chandrasekhar Kanduri, Zhihu Zhao and Mikael Sjölinder and has published in prestigious journals such as Nature Communications, Nature Genetics and The Journal of Immunology.

In The Last Decade

Sha Wang

110 papers receiving 2.7k citations

Hit Papers

Circular chromosome conformation capture (4C) uncovers ex... 2006 2026 2012 2019 2006 2025 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Wang China 25 1.4k 524 454 321 264 112 2.7k
Yoav Smith Israel 26 1.2k 0.8× 141 0.3× 354 0.8× 557 1.7× 174 0.7× 68 2.5k
Rong Li United States 22 841 0.6× 155 0.3× 429 0.9× 292 0.9× 80 0.3× 56 1.7k
Qing Yang China 26 1.0k 0.7× 220 0.4× 567 1.2× 215 0.7× 169 0.6× 108 2.3k
Scott A. Jelinsky United States 34 1.6k 1.1× 118 0.2× 600 1.3× 475 1.5× 89 0.3× 58 3.3k
Wei Yi China 29 2.9k 2.0× 439 0.8× 378 0.8× 414 1.3× 59 0.2× 129 4.6k
Patricia Soteropoulos United States 33 2.1k 1.5× 124 0.2× 191 0.4× 429 1.3× 157 0.6× 84 3.9k
Alexander Krichevsky United States 27 1.4k 1.0× 920 1.8× 160 0.4× 469 1.5× 92 0.3× 48 2.7k
Xiaomei Tong China 25 1.2k 0.8× 58 0.1× 267 0.6× 626 2.0× 156 0.6× 117 2.5k
Manjunath B. Joshi India 25 1.1k 0.8× 97 0.2× 483 1.1× 715 2.2× 47 0.2× 101 2.6k
Winston E. Thompson United States 28 1.5k 1.0× 55 0.1× 329 0.7× 342 1.1× 154 0.6× 71 2.6k

Countries citing papers authored by Sha Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sha Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Wang. A scholar is included among the top collaborators of Sha 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 Sha Wang. Sha Wang 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.
Lee, Eun-Mi, Yong Wei, Xiang Hang, et al.. (2025). CXCR4+ mammary gland macrophageal niche promotes tumor initiating cell activity and immune suppression during tumorigenesis. Nature Communications. 16(1). 4854–4854. 3 indexed citations
2.
Wang, Jing, Mengqin Yuan, Long Min, et al.. (2023). AT2 cell–derived IgA trapped by the extracellular matrix in silica-induced pulmonary fibrosis. International Immunopharmacology. 122. 110545–110545. 5 indexed citations
4.
Chen, Xin, Yu Zhang, Yang Xu, et al.. (2023). Genomic alterations of cerebrospinal fluid cell-free DNA in leptomeningeal metastases of gastric cancer. Journal of Translational Medicine. 21(1). 296–296. 6 indexed citations
5.
Chu, Han, Jie Huang, Meng‐Ling Chen, et al.. (2022). ZC3H4 promotes pulmonary fibrosis via an ER stress-related positive feedback loop. Toxicology and Applied Pharmacology. 435. 115856–115856. 9 indexed citations
6.
Duan, Hua, et al.. (2022). RNA-seq reveals co-dysregulated circular RNAs in the adenomyosis eutopic endometrium and endometrial–myometrial interface. BMC Women s Health. 22(1). 293–293. 6 indexed citations
7.
Wang, Jing, Xinxin Zhang, Wei Luo, et al.. (2022). GREM1/PPP2R3A expression in heterogeneous fibroblasts initiates pulmonary fibrosis. Cell & Bioscience. 12(1). 123–123. 18 indexed citations
8.
Wang, Sha, et al.. (2022). A newly isolated human intestinal strain deglycosylating flavonoid C-glycosides. Archives of Microbiology. 204(6). 310–310. 3 indexed citations
9.
Wang, Sha, et al.. (2021). The cannabinoid receptor CB1 affects the proliferation and apoptosis of adenomyotic human uterine smooth muscle cells of the junctional zone: a mechanism study. Reproductive Biology and Endocrinology. 19(1). 16–16. 11 indexed citations
10.
Wang, Sha, Yu-Hwai Tsai, Lisa Cameron, et al.. (2020). RYK-mediated filopodial pathfinding facilitates midgut elongation. Development. 147(20). 5 indexed citations
12.
Wang, Sha, Katherine D. Walton, & Deborah L. Gumucio. (2019). Signals and forces shaping organogenesis of the small intestine. Current topics in developmental biology. 132. 31–65. 11 indexed citations
13.
Wang, Sha, Cristina Cebrián, Santiago Schnell, & Deborah L. Gumucio. (2018). Radial WNT5A-Guided Post-mitotic Filopodial Pathfinding Is Critical for Midgut Tube Elongation. Developmental Cell. 46(2). 173–188.e3. 19 indexed citations
14.
Hauser, Paul, Sha Wang, & Vladimir V. Didenko. (2017). Apoptotic Bodies: Selective Detection in Extracellular Vesicles. Methods in molecular biology. 1554. 193–200. 78 indexed citations
15.
Walton, Katherine D., Andrew M. Freddo, Sha Wang, & Deborah L. Gumucio. (2016). Generation of intestinal surface: an absorbing tale. Development. 143(13). 2261–2272. 93 indexed citations
16.
Xi, Yibo, Weijie Zhao, Harry C. Tjondro, et al.. (2014). Cataract-causing mutation R233H affects the stabilities of βB1- and βA3/βB1-crystallins with different pH-dependence. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(11). 2216–2229. 15 indexed citations
17.
Wang, Sha, et al.. (2014). Effect of retinoic acid on the tight junctions of the retinal pigment epithelium-choroid complex of guinea pigs with lens-induced myopia in vivo. International Journal of Molecular Medicine. 33(4). 825–832. 25 indexed citations
18.
Zhan, Junkun, Wuyang Huang, Yi Wang, et al.. (2013). Effects of Low-Dose Testosterone Undecanoate Treatment on Bone Mineral Density and Bone Turnover Markers in Elderly Male Osteoporosis with Low Serum Testosterone. International Journal of Endocrinology. 2013. 1–6. 25 indexed citations
19.
Xu, Jia, Sha Wang, Weijie Zhao, et al.. (2012). The Congenital Cataract-Linked A2V Mutation Impairs Tetramer Formation and Promotes Aggregation of βB2-Crystallin. PLoS ONE. 7(12). e51200–e51200. 18 indexed citations
20.
Wang, Tian, Eileen P. Scully, Zhinan Yin, et al.. (2003). IFN-γ-Producing γδ T Cells Help Control Murine West Nile Virus Infection. The Journal of Immunology. 171(5). 2524–2531. 152 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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