Mingming Zhang

8.1k total citations
260 papers, 5.7k citations indexed

About

Mingming Zhang is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Mingming Zhang has authored 260 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 44 papers in Epidemiology and 43 papers in Surgery. Recurrent topics in Mingming Zhang's work include Cancer-related molecular mechanisms research (26 papers), Autophagy in Disease and Therapy (25 papers) and MicroRNA in disease regulation (21 papers). Mingming Zhang is often cited by papers focused on Cancer-related molecular mechanisms research (26 papers), Autophagy in Disease and Therapy (25 papers) and MicroRNA in disease regulation (21 papers). Mingming Zhang collaborates with scholars based in China, United States and Canada. Mingming Zhang's co-authors include Dongdong Sun, Jianqiang Hu, Haichang Wang, Jie Lin, Weihong Song, Fang Cai, Wanrong Man, Tingting Wang, Erhe Gao and Philip T. T. Ly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Mingming Zhang

245 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingming Zhang China 39 2.4k 946 935 833 576 260 5.7k
Gangyi Yang China 44 2.1k 0.9× 393 0.4× 1.4k 1.5× 1.4k 1.6× 682 1.2× 237 6.0k
Do‐Hoon Kim South Korea 46 1.6k 0.7× 859 0.9× 805 0.9× 1.4k 1.7× 430 0.7× 254 7.0k
Yung‐Hsiang Chen Taiwan 45 2.4k 1.0× 681 0.7× 504 0.5× 461 0.6× 469 0.8× 307 7.1k
Dong Liu China 40 2.9k 1.2× 1.4k 1.5× 1.0k 1.1× 577 0.7× 284 0.5× 297 7.0k
Wen‐Jun Shen China 46 3.1k 1.3× 838 0.9× 923 1.0× 1.7k 2.1× 332 0.6× 208 7.2k
Pei‐Wen Wang Taiwan 39 1.9k 0.8× 431 0.5× 874 0.9× 613 0.7× 207 0.4× 232 5.3k
Alex F. Chen China 46 3.2k 1.3× 1.0k 1.1× 693 0.7× 1.4k 1.7× 919 1.6× 174 7.5k
Jianmin Zhang China 56 3.1k 1.3× 614 0.6× 1.6k 1.8× 775 0.9× 289 0.5× 392 10.5k
Qizhu Tang China 46 3.7k 1.5× 937 1.0× 926 1.0× 788 0.9× 2.5k 4.3× 226 7.7k
Min Xia China 56 4.9k 2.0× 821 0.9× 1.8k 2.0× 1.6k 1.9× 701 1.2× 297 11.3k

Countries citing papers authored by Mingming Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingming Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingming Zhang. A scholar is included among the top collaborators of Mingming Zhang 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 Mingming Zhang. Mingming Zhang 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.
He, Xinjian, Yuyang Chen, Haoran Sun, et al.. (2025). Plant-mimicking biodegradable nanofibers for enhanced PM capturing and AI-assisted high-accuracy respiratory diagnosis. Separation and Purification Technology. 361. 131459–131459. 10 indexed citations
2.
Shi, Han, Yijin Chen, Houli Zhao, et al.. (2025). Clinical characteristics and outcomes of BCMA-targeted CAR-T cell recipients with COVID-19 during the Omicron wave: a retrospective study. Bone Marrow Transplantation. 60(5). 587–594.
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Wu, Baoxin, Qingquan Wu, Xinhai Xu, et al.. (2024). Microfluidic fuel cell with arc-shaped electrodes to adapt to its mixing zone, a simulation study. Applied Energy. 376. 124177–124177. 1 indexed citations
5.
Zhang, Ya, Siqi Liu, Zhijian Gao, et al.. (2024). Modulation of miR-466d-3p on Wnt signaling pathway in response to DEPs-induced blood-brain barrier disruption. Ecotoxicology and Environmental Safety. 284. 116869–116869. 1 indexed citations
6.
Peng, Yong, et al.. (2024). Transcription Factor TFAP2B Exerts Neuroprotective Effects Targeting BNIP3-Mediated Mitophagy in Ischemia/Reperfusion Injury. Molecular Neurobiology. 61(10). 7319–7334. 5 indexed citations
7.
Li, Yunsong, et al.. (2024). A Configurable Accelerator for CNN‐Based Remote Sensing Object Detection on FPGAs. IET Computers & Digital Techniques. 2024(1).
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Wang, Yifei, Xinhai Xu, Guangzhong Dong, et al.. (2024). Flexible fuel cells: A prospective review. SHILAP Revista de lepidopterología. 3(4). 100099–100099. 7 indexed citations
11.
Zhang, Mingming, Ming Chen, Yi Li, et al.. (2023). Delayed denervation-induced muscle atrophy in Opg knockout mice. Frontiers in Physiology. 14. 1127474–1127474. 3 indexed citations
12.
Zhang, Mingming, et al.. (2023). Machine learning and integrative analysis identify the common pathogenesis of azoospermia complicated with COVID-19. Frontiers in Immunology. 14. 1114870–1114870. 4 indexed citations
13.
Wu, Yalin, et al.. (2023). Effect of novel botanical synergist on the effectiveness and residue behavior of prothioconazole in wheat field. Scientific Reports. 13(1). 20353–20353. 6 indexed citations
14.
Zhu, Hang, Ting Xin, Shanshan Chen, et al.. (2023). DUSP1 interacts with and dephosphorylates VCP to improve mitochondrial quality control against endotoxemia-induced myocardial dysfunction. Cellular and Molecular Life Sciences. 80(8). 213–213. 22 indexed citations
15.
Chen, Han, Ning Han, Mingming Zhang, et al.. (2023). Hepatitis B Virus-Encoded MicroRNA (HBV-miR-3) Inhibits FIH-1 Expression to Promote Tumor Angiogenesis in HBV-Related Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma. Volume 10. 2337–2353. 5 indexed citations
16.
Liu, Ping, et al.. (2023). Temozolomide protects against the progression of glioblastoma via SOX4 downregulation by inhibiting the LINC00470‐mediated transcription factor EGR2. CNS Neuroscience & Therapeutics. 29(8). 2292–2307. 3 indexed citations
17.
Zhang, Mingming, et al.. (2020). Sphingosine kinase 1 promotes cerebral ischemia‐reperfusion injury through inducing ER stress and activating the NF‐κB signaling pathway. Journal of Cellular Physiology. 235(10). 6605–6614. 9 indexed citations
18.
Zhang, Mingming, et al.. (2020). Cerebral ischemia‐reperfusion is modulated by macrophage‐stimulating 1 through the MAPK‐ERK signaling pathway. Journal of Cellular Physiology. 235(10). 7067–7080. 16 indexed citations
19.
Xu, Yuerong, Wen Qin, Donghui Guo, et al.. (2019). LncRNA-TWIST1 Promoted Osteogenic Differentiation Both in PPDLSCs and in HPDLSCs by Inhibiting TWIST1 Expression. BioMed Research International. 2019. 1–12. 31 indexed citations
20.
Wang, Tianyou, et al.. (2010). Study on the relationship of blood pressure with BMI, FMP and waist circumference among children and adolescents in Beijing.. 25(7). 524–527. 5 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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