Ming Zhan

34.0k total citations · 3 hit papers
167 papers, 7.7k citations indexed

About

Ming Zhan is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Ming Zhan has authored 167 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 42 papers in Cancer Research and 25 papers in Surgery. Recurrent topics in Ming Zhan's work include RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (19 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers). Ming Zhan is often cited by papers focused on RNA modifications and cancer (22 papers), Cancer-related molecular mechanisms research (19 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (18 papers). Ming Zhan collaborates with scholars based in China, United States and France. Ming Zhan's co-authors include Myriam Gorospe, Xiaoling Yang, Lin Sun, Jennifer L. Martindale, Jian Wang, Isabel López de Silanes, Kotb Abdelmohsen, Ashish Lal, Huai Li and Yashpal S. Kanwar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Ming Zhan

161 papers receiving 7.6k citations

Hit Papers

LincRNA-p21 Suppresses Target mRNA Translation 2012 2026 2016 2021 2012 2021 2025 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhan China 47 5.2k 2.1k 771 667 636 167 7.7k
Mohit Jain United States 46 5.5k 1.1× 1.3k 0.6× 600 0.8× 704 1.1× 577 0.9× 149 8.5k
Jian Li China 48 5.3k 1.0× 3.3k 1.6× 773 1.0× 692 1.0× 585 0.9× 272 8.2k
Jan‐Gowth Chang Taiwan 43 4.4k 0.8× 1.2k 0.6× 940 1.2× 513 0.8× 526 0.8× 329 8.2k
Xiao Zhang China 37 3.0k 0.6× 1.6k 0.8× 928 1.2× 429 0.6× 718 1.1× 176 5.3k
Bob van de Water Netherlands 48 4.7k 0.9× 1.3k 0.6× 1.5k 1.9× 515 0.8× 709 1.1× 224 8.2k
Bo Wang China 43 4.7k 0.9× 3.2k 1.5× 1.0k 1.3× 1.1k 1.6× 666 1.0× 169 7.9k
Limin Liu China 39 3.1k 0.6× 828 0.4× 650 0.8× 408 0.6× 556 0.9× 167 5.2k
Michael L. Merchant United States 40 3.6k 0.7× 1.1k 0.6× 243 0.3× 415 0.6× 675 1.1× 137 6.2k
Yan Xu United States 48 5.3k 1.0× 1.2k 0.6× 947 1.2× 579 0.9× 1.3k 2.0× 148 7.9k
Munekazu Yamakuchi Japan 33 4.7k 0.9× 3.9k 1.9× 546 0.7× 590 0.9× 1.1k 1.7× 71 7.7k

Countries citing papers authored by Ming Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhan. A scholar is included among the top collaborators of Ming Zhan 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 Ming Zhan. Ming Zhan 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
2.
Zhu, Qingchen, Ming Cao, Huan Huang, et al.. (2025). Microbiota-shaped neutrophil senescence regulates sexual dimorphism in bladder cancer. Nature Immunology. 26(5). 722–736. 9 indexed citations
3.
Zhan, Ming, Huan Xu, Guopeng Yu, et al.. (2024). Androgen receptor deficiency-induced TUG1 in suppressing ferroptosis to promote benign prostatic hyperplasia through the miR-188-3p/GPX4 signal pathway. Redox Biology. 75. 103298–103298. 8 indexed citations
4.
Chen, Hong, Hao Zhang, Aimei Li, et al.. (2024). VDR regulates mitochondrial function as a protective mechanism against renal tubular cell injury in diabetic rats. Redox Biology. 70. 103062–103062. 28 indexed citations
5.
Yin, Shengju, et al.. (2024). Preconception exposure to bisphenol A and its alternatives: Effects on female fecundity mediated by oxidative stress and ovarian reserve. The Science of The Total Environment. 957. 177558–177558. 4 indexed citations
7.
Zhan, Ming, et al.. (2023). Value of ultrasound imaging-omics features in the diagnosis of primary nephrotic syndrome. SHILAP Revista de lepidopterología. 16(3). 100625–100625. 1 indexed citations
8.
Zhang, Qianlong, Yuqing Wang, Xiaoli Shen, et al.. (2023). Environmental exposure to per- and perfluoroalkyl substances in early pregnancy and newborn anogenital distance: A prospective cohort study. Environmental Science and Pollution Research. 30(44). 99704–99712. 3 indexed citations
9.
Yang, Ruimeng, Shiyang Song, Fengyao Wu, et al.. (2023). Myeloid cells interact with a subset of thyrocytes to promote their migration and follicle formation through NF-κB. Nature Communications. 14(1). 8082–8082. 3 indexed citations
10.
Zhan, Ming, et al.. (2022). 16S rRNA gene sequencing analysis reveals an imbalance in the intestinal flora of Eriocheir sinensis with hepatopancreatic necrosis disease. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 42. 100988–100988. 14 indexed citations
11.
Gu, Meng, Chong Liu, Ming Zhan, et al.. (2021). High-Fat Diet Induced Gut Microbiota Alterations Associating With Ghrelin/Jak2/Stat3 Up-Regulation to Promote Benign Prostatic Hyperplasia Development. Frontiers in Cell and Developmental Biology. 9. 615928–615928. 19 indexed citations
12.
Chen, Yanbo, Hui Xu, Chong Liu, et al.. (2021). Therapeutic Effects of 25-Hydroxyvitamin D on the Pathological Process of Benign Prostatic Hyperplasia: An In Vitro Evidence. Disease Markers. 2021. 1–12. 5 indexed citations
13.
Huang, Shuai, Hui Wang, Wei Chen, et al.. (2019). Tamoxifen inhibits cell proliferation by impaired glucose metabolism in gallbladder cancer. Journal of Cellular and Molecular Medicine. 24(2). 1599–1613. 13 indexed citations
14.
Fiskus, Warren, Sunil Sharma, Jun Qi, et al.. (2014). Highly Active Combination of BRD4 Antagonist and Histone Deacetylase Inhibitor against Human Acute Myelogenous Leukemia Cells. Molecular Cancer Therapeutics. 13(5). 1142–1154. 155 indexed citations
15.
Zhan, Ming, et al.. (2014). Disruption of Renal Tubular Mitochondrial Quality Control by Myo-Inositol Oxygenase in Diabetic Kidney Disease. Journal of the American Society of Nephrology. 26(6). 1304–1321. 248 indexed citations
16.
Yu, Ke‐Da, Rui Zhu, Ming Zhan, et al.. (2013). Identification of Prognosis-Relevant Subgroups in Patients with Chemoresistant Triple-Negative Breast Cancer. Clinical Cancer Research. 19(10). 2723–2733. 127 indexed citations
17.
Li, Huai, et al.. (2012). Integrative modeling of transcriptional regulatory networks in head and neck cancer. HKBU Institutional Repository (Hong Kong Baptist University).
18.
Swistowska, Anna Maria, Alexandre Bettencourt da Cruz, Yi Han, et al.. (2009). Stage-Specific Role for Shh in Dopaminergic Differentiation of Human Embryonic Stem Cells Induced by Stromal Cells. Stem Cells and Development. 19(1). 71–82. 41 indexed citations
19.
Liu, Dong, Sic L. Chan, Nadja C. de Souza‐Pinto, et al.. (2006). Mitochondrial UCP4 Mediates an Adaptive Shift in Energy Metabolism and Increases the Resistance of Neurons to Metabolic and Oxidative Stress. NeuroMolecular Medicine. 8(3). 389–414. 155 indexed citations
20.
Wolvers-Tettero, I L, et al.. (1999). Easy detection of all T cell receptor gamma (TCRG) gene rearrangements by Southern blot analysis: recommendations for optimal results. Leukemia. 13(10). 1620–1626. 28 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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