Shuiming Wang

982 total citations
63 papers, 743 citations indexed

About

Shuiming Wang is a scholar working on Molecular Biology, Biophysics and Surgery. According to data from OpenAlex, Shuiming Wang has authored 63 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Biophysics and 6 papers in Surgery. Recurrent topics in Shuiming Wang's work include Electromagnetic Fields and Biological Effects (14 papers), Photoreceptor and optogenetics research (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Shuiming Wang is often cited by papers focused on Electromagnetic Fields and Biological Effects (14 papers), Photoreceptor and optogenetics research (4 papers) and Colorectal Cancer Screening and Detection (4 papers). Shuiming Wang collaborates with scholars based in China, United States and Taiwan. Shuiming Wang's co-authors include Ruiyun Peng, Yabing Gao, Li Zhao, Xinping Xu, Lifeng Wang, Ji Dong, Hongyan Zuo, Dewen Wang, Heiying Jin and Hongmei Zhou and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry C and World Journal of Gastroenterology.

In The Last Decade

Shuiming Wang

60 papers receiving 708 citations

Peers

Shuiming Wang

BIOPH

PHYSI

Guirong Ding China

Xuesen Yang China

Nesrin Seyhan Türkiye

Pietro Mesirca France

Silvia Paradisi Italy

О. В. Глушкова Russia

Binwei Yao China

Peter O. Bayguinov United States

Andra E. Talaska United States

Guirong Ding China

Shuiming Wang

269 ×1.0

406 ×1.8

BIOPH

118 ×1.3

146 ×1.6

189 ×2.4

PHYSI

Citations per year, relative to Shuiming Wang Shuiming Wang (= 1×) peers Guirong Ding

Countries citing papers authored by Shuiming Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuiming Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuiming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuiming Wang. A scholar is included among the top collaborators of Shuiming 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 Shuiming Wang. Shuiming 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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20 of 20 papers shown

Peng, Rui, Pengfei Li, Qianjin Chen, et al.. (2024). Research on the Droop Control Strategy with Dynamic Self-Compensation of Microgrid Energy Storage Systems. 414–418.

Wang, Shuiming, et al.. (2019). Clinical significance of MLH1/MSH2 for stage II/III sporadic colorectal cancer. World Journal of Gastrointestinal Oncology. 11(11). 1065–1080. 16 indexed citations

Jin, Heiying, et al.. (2018). Serum miR-20a and miR-486 are potential biomarkers for discriminating colorectal neoplasia: A pilot study. Journal of Cancer Research and Therapeutics. 14(7). 1572–1572. 10 indexed citations

Yang, Qinglan, Shuiming Wang, Xiaowei Li, et al.. (2017). Identification the potential of stool-based SNCA methylation as a candidate biomarker for early colorectal cancer detection. Translational Cancer Research. 6(1). 169–176. 3 indexed citations

Wang, Shuiming, Ruiyun Peng, Haidong Huang, et al.. (2017). Apoptosis of Lewis Lung Carcinoma Cells Induced by Microwave via p53 and Proapoptotic Proteins In vivo. Chinese Medical Journal. 130(1). 15–22. 6 indexed citations

Deng, Chao, Heiying Jin, Wei Gong, et al.. (2015). [Screening and diagnostic value of the molecular markers of DNA methylation in colorectal neoplasma].. PubMed. 18(11). 1149–53. 5 indexed citations

Wang, Hui, et al.. (2015). Long term effect of different power density microwave radiation on the learning and memory ability and hippocampal structure in rats. 434–442. 1 indexed citations

Wang, Lifeng, Wei Li, Yabing Gao, et al.. (2015). Microwave-Induced Structural and Functional Injury of Hippocampal and PC12 Cells Is Accompanied by Abnormal Changes in the NMDAR-PSD95-CaMKII Pathway. Pathobiology. 82(5). 181–194. 14 indexed citations

Liu, Xiao, Hongyan Zuo, Dewen Wang, et al.. (2015). Improvement of Spatial Memory Disorder and Hippocampal Damage by Exposure to Electromagnetic Fields in an Alzheimer’s Disease Rat Model. PLoS ONE. 10(5). e0126963–e0126963. 39 indexed citations

10.

Wang, Changzhen, Xiaoyan Wang, Hongmei Zhou, et al.. (2015). Effects of Pulsed 2.856 GHz Microwave Exposure on BM-MSCs Isolated from C57BL/6 Mice. PLoS ONE. 10(2). e0117550–e0117550. 11 indexed citations

11.

Wang, Hui, Ruiyun Peng, Li Zhao, et al.. (2014). The relationship between NMDA receptors and microwave-induced learning and memory impairment: A long-term observation on Wistar rats. International Journal of Radiation Biology. 91(3). 262–269. 28 indexed citations

12.

Zuo, Hongyan, Tao Lin, Dewen Wang, et al.. (2014). Neural Cell Apoptosis Induced by Microwave Exposure Through Mitochondria-dependent Caspase-3 Pathway. International Journal of Medical Sciences. 11(5). 426–435. 48 indexed citations

13.

Zhao, Li, Yuefeng Yang, Yabing Gao, et al.. (2014). Upregulation of HIF-1α Via Activation of ERK and PI3K Pathway Mediated Protective Response to Microwave-Induced Mitochondrial Injury in Neuron-Like Cells. Molecular Neurobiology. 50(3). 1024–1034. 27 indexed citations

14.

Wang, Jingwen, et al.. (2013). Rhabdomyolysis-Induced Acute Kidney Injury Under Hypoxia and Deprivation of Food and Water. Kidney & Blood Pressure Research. 37(4-5). 414–421. 7 indexed citations

15.

Wang, Lifeng, Xiangjun Hu, Ruiyun Peng, et al.. (2012). Application of 1H-NMR-based metabolomics for detecting injury induced by long-term microwave exposure in Wistar rats’ urine. Analytical and Bioanalytical Chemistry. 404(1). 69–78. 4 indexed citations

16.

Li, Xiang, Ruiyun Peng, Xiangjun Hu, et al.. (2011). Changes and significance of occludin expression in rats with blood-brain barrier injury induced by microwave radiation. Jiefangjun yixue zazhi. 36(7). 765–769. 1 indexed citations

17.

Li, Xiangdong, Jinyan Luo, Shuiming Wang, et al.. (2009). Engineering, expression, and immuno-characterization of recombinant protein comprising multi-neutralization sites of rabies virus glycoprotein. Protein Expression and Purification. 70(2). 179–183. 5 indexed citations

18.

Wang, Lifeng, Ruiyun Peng, Xiangjun Hu, et al.. (2009). Abnormality of synaptic vesicular associated proteins in cerebral cortex and hippocampus after microwave exposure. Synapse. 63(11). 1010–1016. 20 indexed citations

19.

Wang, Shuiming. (2007). INJURY MECHANISM OF PRIMARY CULTURED HIPPOCAMPUS NEURON BY ELECTROMAGNETIC RADIATION. 1 indexed citations

20.

Pan, Minhong, et al.. (2005). [Changes of the expression of beta1-adrenergic receptor and M2-muscarinic acetylcholine receptor in rat hearts after high power microwave radiation].. PubMed. 23(3). 172–4. 1 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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