Meiwei Chen

577 total citations
18 papers, 421 citations indexed

About

Meiwei Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Meiwei Chen has authored 18 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Meiwei Chen's work include Nerve injury and regeneration (4 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). Meiwei Chen is often cited by papers focused on Nerve injury and regeneration (4 papers), RNA Interference and Gene Delivery (3 papers) and MicroRNA in disease regulation (3 papers). Meiwei Chen collaborates with scholars based in China, United Kingdom and United States. Meiwei Chen's co-authors include Jun Shen, Jiaji Mao, Xiaohui Duan, Fang Zhang, Liejing Lu, Chushan Zheng, Minghui Cao, Xiang Zhang, Han Wang and Xuewen Jiang and has published in prestigious journals such as Advanced Functional Materials, Radiology and Cerebral Cortex.

In The Last Decade

Meiwei Chen

18 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meiwei Chen China	9	203	152	107	82	51	18	421
Lois E. H. Smith United States	6	300 1.5×	63 0.4×	124 1.2×	68 0.8×	33 0.6×	7	631
Dong Zhong China	10	181 0.9×	71 0.5×	38 0.4×	39 0.5×	73 1.4×	23	393
Xinxin Tie China	11	143 0.7×	50 0.3×	46 0.4×	71 0.9×	72 1.4×	15	409
Yanming Qu China	13	156 0.8×	74 0.5×	67 0.6×	25 0.3×	48 0.9×	41	431
Leianne A. Torres United States	6	315 1.6×	109 0.7×	32 0.3×	69 0.8×	55 1.1×	8	422
Jingqin Fang China	13	119 0.6×	62 0.4×	106 1.0×	201 2.5×	132 2.6×	34	513
Yiqin Zhang China	10	288 1.4×	63 0.4×	43 0.4×	70 0.9×	16 0.3×	13	409
Victor C. K. Tse United States	7	142 0.7×	73 0.5×	39 0.4×	58 0.7×	176 3.5×	8	477
Saman Sizdahkhani United States	9	208 1.0×	141 0.9×	169 1.6×	17 0.2×	126 2.5×	30	613
Paola Suárez-Meade United States	11	109 0.5×	64 0.4×	53 0.5×	56 0.7×	228 4.5×	34	466

Countries citing papers authored by Meiwei Chen

Since Specialization

Citations

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

Fields of papers citing papers by Meiwei Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiwei Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Meiwei Chen. A scholar is included among the top collaborators of Meiwei Chen 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 Meiwei Chen. Meiwei Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Wang, Shaobo, Yuxiang Wang, Weimin Miao, et al.. (2025). Predicting the risk of high-grade precancerous cervical lesions based on high-risk HPV typing in Changsha China. BMC Women s Health. 25(1). 28–28. 1 indexed citations

Yang, Siyu, et al.. (2024). Melatonin alleviates di-butyl phthalate (DBP)-induced ferroptosis of mouse leydig cells via inhibiting Sp2/VDAC2 signals. Environmental Research. 247. 118221–118221. 6 indexed citations

Zhao, Huiying, Meiwei Chen, Yi Li, et al.. (2023). A radiomics model for predicting the response to methylprednisolone in brain necrosis after radiotherapy for nasopharyngeal carcinoma. Radiation Oncology. 18(1). 43–43. 1 indexed citations

Tang, Yingmei, Minghui Cao, Yunhua Li, et al.. (2023). Altered structural covariance of locus coeruleus in individuals with significant memory concern and patients with mild cognitive impairment. Cerebral Cortex. 33(13). 8523–8533. 6 indexed citations

Yang, Zehong, Huijun Hu, Yongqing Lin, et al.. (2023). Detecting lesion-specific ischemia in patients with coronary artery disease with computed tomography fractional flow reserve measured at different sites. BMC Medical Imaging. 23(1). 76–76. 2 indexed citations

Chen, Meiwei, et al.. (2021). Differential diagnosis of parotid gland tumours: Application of SWI combined with DWI and DCE-MRI. European Journal of Radiology. 146. 110094–110094. 11 indexed citations

Chen, Meiwei, Jinhua Cai, Xiaohuan Liu, et al.. (2021). Blood–Brain Barrier Repair of Bevacizumab and Corticosteroid as Prediction of Clinical Improvement and Relapse Risk in Radiation-Induced Brain Necrosis: A Retrospective Observational Study. Frontiers in Oncology. 11. 720417–720417. 8 indexed citations

Lou, Jiacheng, Meiwei Chen, Han Wang, et al.. (2020). Circular RNA CDR1as disrupts the p53/MDM2 complex to inhibit Gliomagenesis. Molecular Cancer. 19(1). 138–138. 158 indexed citations

Zhang, Xiang, Chushan Zheng, Zehong Yang, et al.. (2018). Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT. Radiology. 289(2). 337–346. 49 indexed citations

10.

Lu, Liejing, Yong Wang, Fang Zhang, et al.. (2018). MRI‐Visible siRNA Nanomedicine Directing Neuronal Differentiation of Neural Stem Cells in Stroke. Advanced Functional Materials. 28(14). 40 indexed citations

11.

Chen, Meiwei, Xiang Zhang, Liejing Lu, et al.. (2018). Monitoring of macrophage recruitment enhanced by Toll‐like receptor 4 activation with MR imaging in nerve injury. Muscle & Nerve. 58(1). 123–132. 5 indexed citations

12.

Lu, Liejing, Yong Wang, Minghui Cao, et al.. (2017). A novel polymeric micelle used for in vivo MR imaging tracking of neural stem cells in acute ischemic stroke. RSC Advances. 7(25). 15041–15052. 26 indexed citations

13.

Cao, Minghui, Jiaji Mao, Xiaohui Duan, et al.. (2017). In vivo tracking of the tropism of mesenchymal stem cells to malignant gliomas using reporter gene‐based MR imaging. International Journal of Cancer. 142(5). 1033–1046. 38 indexed citations

14.

Zhang, Fang, Xiaohui Duan, Liejing Lu, et al.. (2017). In Vivo Long-Term Tracking of Neural Stem Cells Transplanted into an Acute Ischemic Stroke model with Reporter Gene-Based Bimodal MR and Optical Imaging. Cell Transplantation. 26(10). 1648–1662. 24 indexed citations

15.

Zheng, Chushan, Xiang Zhang, Fang Zhang, et al.. (2017). Assessment of the synergic effect of immunomodulation on nerve repair using multiparametric magnetic resonance imaging. Muscle & Nerve. 57(1). E38–E45. 4 indexed citations

16.

Zhang, Fang, Xiaohui Duan, Liejing Lu, et al.. (2016). In Vivo Targeted MR Imaging of Endogenous Neural Stem Cells in Ischemic Stroke. Molecules. 21(9). 1143–1143. 17 indexed citations

17.

Zhang, Xiang, Xiaofeng Lin, Fang Zhang, et al.. (2016). DTI metrics can be used as biomarkers to determine the therapeutic effect of stem cells in acute peripheral nerve injury. Journal of Magnetic Resonance Imaging. 45(3). 855–862. 21 indexed citations

18.

Chen, Meiwei, et al.. (2014). The minimal dimensions of faithful representations for Heisenberg Lie superalgebras. Journal of Geometry and Physics. 89. 17–23. 4 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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