Shiming Wang

933 total citations
48 papers, 664 citations indexed

About

Shiming Wang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Shiming Wang has authored 48 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Shiming Wang's work include MicroRNA in disease regulation (4 papers), Computational Drug Discovery Methods (4 papers) and RNA modifications and cancer (4 papers). Shiming Wang is often cited by papers focused on MicroRNA in disease regulation (4 papers), Computational Drug Discovery Methods (4 papers) and RNA modifications and cancer (4 papers). Shiming Wang collaborates with scholars based in China, United States and Germany. Shiming Wang's co-authors include Zhongli Cui, Shunpeng Li, Jian He, Shunqing Ren, Haoliang Zhao, Xiaojun Chen, Hongyan Jia, Jianfa Zhang, Wenting Yan and Yuxuan Wang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Shiming Wang

46 papers receiving 660 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiming Wang China 15 334 131 74 58 56 48 664
Jinqiu Li China 16 219 0.7× 93 0.7× 73 1.0× 87 1.5× 28 0.5× 60 676
Lijuan Su China 12 435 1.3× 68 0.5× 89 1.2× 59 1.0× 110 2.0× 19 806
Mengyu Zhou China 15 283 0.8× 103 0.8× 48 0.6× 43 0.7× 85 1.5× 43 692
Chung-I Li Taiwan 16 528 1.6× 185 1.4× 154 2.1× 61 1.1× 41 0.7× 38 957
Jiajun Wang China 18 477 1.4× 331 2.5× 53 0.7× 44 0.8× 72 1.3× 67 857
Yongjun Piao China 17 569 1.7× 206 1.6× 69 0.9× 30 0.5× 134 2.4× 59 1.1k
Zhiqiang Li China 19 534 1.6× 267 2.0× 33 0.4× 48 0.8× 97 1.7× 75 1.1k
Yimei Liu China 15 289 0.9× 111 0.8× 29 0.4× 46 0.8× 107 1.9× 70 841

Countries citing papers authored by Shiming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shiming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shiming Wang. A scholar is included among the top collaborators of Shiming 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 Shiming Wang. Shiming 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.
Xu, Tao, et al.. (2025). Latent Profile Analysis of Pain Catastrophizing in Post-Operative Lung Cancer Patients. Journal of Pain Research. Volume 18. 1735–1745. 1 indexed citations
2.
Xu, You, Shiming Wang, Jiwei Zhang, et al.. (2025). Interstitial boron-triggered electron-deficient isolated Pd–In active-sites in ordered intermetallic metallene for enhanced electrosynthesis of urea. Chemical Communications. 61(53). 9646–9649.
3.
Wang, Shiming, Yuqing Shen, Mohan Wang, et al.. (2025). Isolation and detection strategies for decoding the heterogeneity of extracellular vesicles. Chemical Engineering Journal. 507. 160234–160234. 4 indexed citations
4.
Wang, Shiming, et al.. (2024). Exosomes as drug delivery systems in glioma immunotherapy. Journal of Nanobiotechnology. 22(1). 340–340. 12 indexed citations
5.
Yang, Xiaojun, et al.. (2023). Prediction of recurrence of early gastric carcinoma after endoscopic submucosal dissection. African Health Sciences. 23(2). 283–9. 1 indexed citations
6.
Wang, Shiming, et al.. (2023). Suitable endometrial thickness on embryo transfer day may reduce ectopic pregnancy rate and improve clinical pregnancy rate. BMC Pregnancy and Childbirth. 23(1). 517–517. 2 indexed citations
7.
Wang, Shiming, Jie Li, & Yadong Wang. (2022). M2PP: a novel computational model for predicting drug-targeted pathogenic proteins. BMC Bioinformatics. 23(1). 7–7. 2 indexed citations
8.
Li, Yunxiang, et al.. (2021). Four-lncRNA immune prognostic signature for triple-negative breast cancer. Mathematical Biosciences & Engineering. 18(4). 3939–3956. 12 indexed citations
9.
Li, Jie, Shiming Wang, Zhuo Chen, & Yadong Wang. (2020). A Bipartite Network Module-Based Project to Predict Pathogen–Host Association. Frontiers in Genetics. 10. 1357–1357. 5 indexed citations
10.
Wang, Shiming & Jie Li. (2019). Modular within and between score for drug response prediction in cancer cell lines. Molecular Omics. 16(1). 31–38. 5 indexed citations
11.
Liao, Wenting, Jia Liu, Shiming Wang, et al.. (2019). Metabolic profiling reveals that salidroside antagonizes hypoxic injury via modulating energy and lipid metabolism in cardiomyocytes. Biomedicine & Pharmacotherapy. 122. 109700–109700. 14 indexed citations
12.
Wang, Shiming, Jacques‐Donald Tournier, Chin‐Song Lu, et al.. (2019). A longitudinal fixel-based analysis of white matter alterations in patients with Parkinson's disease. NeuroImage Clinical. 24. 102098–102098. 41 indexed citations
13.
Zhao, Xueying, Shiming Wang, Junjie Wu, et al.. (2015). Association of TERT Polymorphisms with Clinical Outcome of Non-Small Cell Lung Cancer Patients. PLoS ONE. 10(5). e0129232–e0129232. 12 indexed citations
14.
Meng, Delong, Shuo Zhang, Yingjie Zhao, et al.. (2014). Genetic variants in N-myc (and STAT) interactor and susceptibility to glioma in a Chinese Han population. Tumor Biology. 36(3). 1579–1588. 6 indexed citations
15.
Cheng, Rui, et al.. (2013). Recombinant expression and characterization of an acid-, alkali- and salt-tolerant β-1,3-1,4-glucanase from Paenibacillus sp. S09. Biotechnology Letters. 36(4). 797–803. 11 indexed citations
16.
Wang, Shiming, et al.. (2012). Change of the Nrf2-ARE pathway in the process of autophagy and its effect on hepatic carcinoma cell cycle. 39(12). 849–852. 1 indexed citations
17.
Zhang, Ying, Shiming Wang, Ai‐Qun Jia, et al.. (2011). The mPlrp2 and mClps genes are involved in the hydrolysis of retinyl esters in the mouse liver. Journal of Lipid Research. 52(5). 934–941. 15 indexed citations
18.
Dong, Xiushan, Haoliang Zhao, Xiaoming Ma, & Shiming Wang. (2010). Reduction in bile acid pool causes delayed liver regeneration accompanied by down-regulated expression of FXR and c-Jun mRNA in rats. Journal of Huazhong University of Science and Technology [Medical Sciences]. 30(1). 55–60. 16 indexed citations
19.
Wang, Shiming. (1992). Approximation on set of total measure of Bochner-Riesz means below the critical index. Approximation Theory and Its Applications. 8(1). 75–86.
20.
Wang, Shiming, et al.. (1990). SYNTHESIS OF THE MAIN COMPONENT OF SAN JOSE SCALE'S SEX PHEROMONE USING POLYMER SUPPORTED REAGENT. Chinese Journal of Applied Chemistry. 7(1). 83–85. 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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