Shenming Wang

767 total citations
25 papers, 601 citations indexed

About

Shenming Wang is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Shenming Wang has authored 25 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Shenming Wang's work include Atherosclerosis and Cardiovascular Diseases (6 papers), Chemokine receptors and signaling (4 papers) and Ubiquitin and proteasome pathways (4 papers). Shenming Wang is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (6 papers), Chemokine receptors and signaling (4 papers) and Ubiquitin and proteasome pathways (4 papers). Shenming Wang collaborates with scholars based in China and United States. Shenming Wang's co-authors include Yao Chen, Xiangdong Xu, Ying Lin, Yunjian Zhang, Caisheng Ye, Bo Wang, Hong Ma, Xiuren Gao, Yingying Zhu and Jun Lin and has published in prestigious journals such as PLoS ONE, Circulation Research and Endocrinology.

In The Last Decade

Shenming Wang

25 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shenming Wang China 12 249 171 127 103 87 25 601
Gwon‐Soo Jung South Korea 15 229 0.9× 71 0.4× 69 0.5× 50 0.5× 93 1.1× 27 591
Toshiko Sugimoto Japan 7 339 1.4× 180 1.1× 206 1.6× 121 1.2× 56 0.6× 12 690
Li-Jing Chen Taiwan 11 374 1.5× 173 1.0× 101 0.8× 105 1.0× 36 0.4× 15 769
María Teresa Gutiérrez‐Salmerón Spain 17 233 0.9× 77 0.5× 82 0.6× 32 0.3× 85 1.0× 22 771
Qi Niu China 16 302 1.2× 61 0.4× 69 0.5× 37 0.4× 100 1.1× 57 654
Nona Farbehi Australia 7 394 1.6× 100 0.6× 99 0.8× 263 2.6× 81 0.9× 13 709
Liping Su China 16 321 1.3× 81 0.5× 38 0.3× 66 0.6× 73 0.8× 41 595
Martin Klabusay Czechia 14 219 0.9× 109 0.6× 48 0.4× 94 0.9× 83 1.0× 50 708
Pratiek N. Matkar Canada 15 332 1.3× 50 0.3× 148 1.2× 55 0.5× 45 0.5× 24 558

Countries citing papers authored by Shenming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shenming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shenming Wang. A scholar is included among the top collaborators of Shenming 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 Shenming Wang. Shenming 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.
Zhou, Yu, Xiaonan Sun, Xiaoqing Guan, et al.. (2023). SMYD2 regulates vascular smooth muscle cell phenotypic switching and intimal hyperplasia via interaction with myocardin. Cellular and Molecular Life Sciences. 80(9). 264–264. 5 indexed citations
2.
Liu, Longshan, et al.. (2022). MicroRNA profile of circulating CD4+ T cells in aged patients with atherosclerosis obliterans. BMC Cardiovascular Disorders. 22(1). 172–172. 2 indexed citations
3.
Ye, Runyi, Huijuan Zeng, Nan Shao, et al.. (2021). Tripartite motif-containing 3 (TRIM3) enhances ER signaling and confers tamoxifen resistance in breast cancer. Oncogenesis. 10(9). 60–60. 10 indexed citations
4.
Ye, Runyi, Dongwei Liu, Hongyu Guan, et al.. (2021). AHNAK2 promotes thyroid carcinoma progression by activating the NF-κB pathway. Life Sciences. 286. 120032–120032. 16 indexed citations
5.
Zeng, Huijuan, et al.. (2020). KCTD12 promotes G1/S transition of breast cancer cell through activating the AKT/FOXO1 signaling. Journal of Clinical Laboratory Analysis. 34(8). e23315–e23315. 15 indexed citations
6.
Qian, Xueke, Qi Zhang, Nan Shao, et al.. (2019). Respiratory hyperoxia reverses immunosuppression by regulating myeloid-derived suppressor cells and PD-L1 expression in a triple-negative breast cancer mouse model.. PubMed. 9(3). 529–545. 34 indexed citations
7.
Shi, Yawei, Yang Zhao, Yunjian Zhang, et al.. (2018). AFF3 upregulation mediates tamoxifen resistance in breast cancers. Journal of Experimental & Clinical Cancer Research. 37(1). 254–254. 27 indexed citations
8.
Wang, Huijun, et al.. (2017). IP-10/CXCR3 Axis Promotes the Proliferation of Vascular Smooth Muscle Cells through ERK1/2/CREB Signaling Pathway. Cell Biochemistry and Biophysics. 75(1). 139–147. 20 indexed citations
9.
Wu, Ridong, et al.. (2016). MicroRNA-497 Induces Apoptosis and Suppresses Proliferation via the Bcl-2/Bax-Caspase9-Caspase3 Pathway and Cyclin D2 Protein in HUVECs. PLoS ONE. 11(12). e0167052–e0167052. 71 indexed citations
10.
Wang, Huating, Zhen Shan, Wen Li, et al.. (2015). Guidelines for Assessing Mouse Endothelial Function via Ultrasound Imaging: a Report from the International Society of Cardiovascular Translational Research. Journal of Cardiovascular Translational Research. 8(2). 89–95. 5 indexed citations
11.
He, Wei, Zuojun Hu, An‐Wu Xu, et al.. (2013). The Preparation and Performance of a New Polyurethane Vascular Prosthesis. Cell Biochemistry and Biophysics. 66(3). 855–866. 43 indexed citations
12.
Ye, Sheng, et al.. (2012). XRCC1 and ADPRT Polymorphisms Associated with Survival in Breast Cancer Cases Treated with Chemotherapy. Asian Pacific Journal of Cancer Prevention. 13(10). 4923–4926. 6 indexed citations
13.
He, Wei, et al.. (2011). [Assessment of the mechanical properties and biocompatibility of a new electrospun polyurethane vascular prosthesis].. PubMed. 31(12). 2006–11. 3 indexed citations
15.
Wang, Shenming. (2009). Experimental Study on Stress Corrosion Cracking of 2.25Cr1Mo Steel in H2S Solution. Science and Technology Information. 1 indexed citations
16.
Liao, Yi, et al.. (2009). Effects of Antiatherosclerosis in Carotid Artery by RNAi-Mediated Silencing of MCP-1 Expression. Annals of Vascular Surgery. 23(5). 652–662. 2 indexed citations
17.
Liu, Renbin, Xinghua Zhou, Jiani Wang, et al.. (2008). [Expression of estrogen receptor, progesterone receptor, and human epithelial growth factor receptor 2 in breast cancer and the significance thereof: analysis of 910 cases].. Zhonghua yixue zazhi. 88(48). 3397–400. 1 indexed citations
18.
Xu, Xiangdong, Bo Wang, Caisheng Ye, et al.. (2008). Overexpression of macrophage migration inhibitory factor induces angiogenesis in human breast cancer. Cancer Letters. 261(2). 147–157. 121 indexed citations
19.
Ruan, Xiangcai, et al.. (2007). Encapsulated Bifidobacteria reduced bacterial translocation in rats following hemorrhagic shock and resuscitation. Nutrition. 23(10). 754–761. 30 indexed citations
20.
Ye, Caisheng, Chong Feng, Shenming Wang, et al.. (2003). sFlt-1 Gene Therapy of Follicular Thyroid Carcinoma. Endocrinology. 145(2). 817–822. 39 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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