Ming Xu

13.3k total citations · 5 hit papers
129 papers, 6.0k citations indexed

About

Ming Xu is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Ming Xu has authored 129 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 32 papers in Physiology and 23 papers in Immunology. Recurrent topics in Ming Xu's work include Telomeres, Telomerase, and Senescence (16 papers), Calcium signaling and nucleotide metabolism (11 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers). Ming Xu is often cited by papers focused on Telomeres, Telomerase, and Senescence (16 papers), Calcium signaling and nucleotide metabolism (11 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers). Ming Xu collaborates with scholars based in China, United States and Japan. Ming Xu's co-authors include James L. Kirkland, Tamar Tchkonia, Nathan K. LeBrasseur, George A. Kuchel, Tamar Pirtskhalava, Nathan Gasek, Mikołaj Ogrodnik, Megan Weivoda, Kurt O. Johnson and Allyson K. Palmer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Ming Xu

125 papers receiving 5.9k citations

Hit Papers

Targeting cellular senescence prevents age-related bone l... 2015 2026 2018 2022 2017 2015 2015 2021 2022 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 Xu China 31 2.6k 2.4k 1.0k 788 606 129 6.0k
Diana Jurk United States 28 3.1k 1.2× 4.0k 1.6× 1.5k 1.4× 1.0k 1.3× 660 1.1× 42 7.4k
Bennett G. Childs United States 11 4.1k 1.6× 4.9k 2.0× 2.1k 2.0× 973 1.2× 967 1.6× 12 9.1k
Michał M. Masternak United States 39 2.0k 0.8× 2.8k 1.1× 428 0.4× 538 0.7× 825 1.4× 179 5.7k
Fátima Bosch Spain 50 3.8k 1.5× 2.4k 1.0× 448 0.4× 1.1k 1.4× 567 0.9× 167 7.8k
Daohong Zhou United States 53 4.8k 1.8× 2.5k 1.0× 1.4k 1.4× 570 0.7× 1.2k 1.9× 175 9.5k
Tim J. Schulz Germany 36 2.5k 1.0× 3.5k 1.4× 287 0.3× 1.9k 2.4× 537 0.9× 115 6.7k
Marcelo A. Mori Brazil 33 2.9k 1.1× 2.0k 0.8× 443 0.4× 1.3k 1.6× 1.6k 2.6× 100 5.6k
Rémi Mounier France 39 3.2k 1.2× 2.0k 0.8× 734 0.7× 674 0.9× 574 0.9× 79 6.1k
Carsten Skurk Germany 34 3.8k 1.4× 1.3k 0.5× 432 0.4× 736 0.9× 514 0.8× 133 6.4k

Countries citing papers authored by Ming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Xu. A scholar is included among the top collaborators of Ming Xu 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 Xu. Ming Xu 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.
Fries, Gabriel R., et al.. (2026). Premature aging in serious mental illness. Neuropsychopharmacology.
2.
Zhang, Xinchao, Xinyu Zhao, Kai Wang, et al.. (2025). HNF4α-TET2-FBP1 axis contributes to gluconeogenesis and type 2 diabetes. eLife. 13.
3.
Borges, Gabriel Álvares, Marta Diaz‐delCastillo, Maja Hinge, et al.. (2025). Senescence profiling of monoclonal gammopathies reveals paracrine senescence as a crucial defense against disease progression. Leukemia. 39(5). 1206–1217. 1 indexed citations
4.
Gasek, Nathan, Pengyi Yan, K‐Raman Purushothaman, et al.. (2024). Clearance of p21 highly expressing senescent cells accelerates cutaneous wound healing. Nature Aging. 5(1). 21–27. 9 indexed citations
5.
Wang, Miaomiao, Jiapeng Li, Hu Xu, et al.. (2024). Tilianin attenuates inflammasome activation in endothelial progenitor cells to mitigate myocardial ischemia-reperfusion injury. PLoS ONE. 19(10). e0311624–e0311624. 1 indexed citations
6.
Bartley, Jenna M. & Ming Xu. (2024). Unleashing CAR T cells to delay metabolic aging. Nature Aging. 4(3). 284–286. 1 indexed citations
7.
Wang, Ailin, Yu Sun, Ming Xu, et al.. (2023). The relationship with and effect of oral microbiota on NLRP3 inflammatory pathway in type 2 diabetes mellitus. Archives of Oral Biology. 155. 105801–105801. 6 indexed citations
8.
Martin, Dominique, et al.. (2023). Senolytic treatment with dasatinib and quercetin does not improve overall influenza responses in aged mice. SHILAP Revista de lepidopterología. 4. 1212750–1212750. 11 indexed citations
9.
He, Jing, Mingen Lin, Xinchao Zhang, et al.. (2023). TET2 is required to suppress mTORC1 signaling through urea cycle with therapeutic potential. Cell Discovery. 9(1). 84–84. 9 indexed citations
10.
Gao, Ming, Wenya Feng, Hongyang Huang, et al.. (2022). m6A demethylation of cytidine deaminase APOBEC3B mRNA orchestrates arsenic-induced mutagenesis. Journal of Biological Chemistry. 298(2). 101563–101563. 20 indexed citations
11.
Cohn, Rachel, Nathan Gasek, George A. Kuchel, & Ming Xu. (2022). The heterogeneity of cellular senescence: insights at the single-cell level. Trends in Cell Biology. 33(1). 9–17. 166 indexed citations breakdown →
12.
Gasek, Nathan, et al.. (2022). Role of Senescent Cells in Cutaneous Wound Healing. Biology. 11(12). 1731–1731. 23 indexed citations
13.
Gao, Ming, Min Deng, Hongyang Huang, et al.. (2022). The deubiquitinase USP7 regulates oxidative stress through stabilization of HO-1. Oncogene. 41(33). 4018–4027. 24 indexed citations
14.
Xu, Ming, et al.. (2021). Effects of CHOP on Epithelial Mesenchymal Transition, Migration and Invasion of Liver Cancer. International journal of research studies in biosciences. 9(2). 1 indexed citations
15.
Zhou, Yueying, Xiaonan Xin, Lichao Wang, et al.. (2021). Senolytics improve bone forming potential of bone marrow mesenchymal stem cells from aged mice. npj Regenerative Medicine. 6(1). 34–34. 68 indexed citations
16.
Al‐Naggar, Iman M., et al.. (2021). Senescence‐induced changes in CD4 T cell differentiation can be alleviated by treatment with senolytics. Aging Cell. 21(1). e13525–e13525. 31 indexed citations
17.
Zhou, Yueying, Iman M. Al‐Naggar, Po‐Jung Chen, et al.. (2021). Senolytics alleviate the degenerative disorders of temporomandibular joint in old age. Aging Cell. 20(7). e13394–e13394. 29 indexed citations
18.
Wang, Binsheng, Lichao Wang, Nathan Gasek, et al.. (2021). An inducible p21-Cre mouse model to monitor and manipulate p21-highly-expressing senescent cells in vivo. Nature Aging. 1(10). 962–973. 96 indexed citations
19.
Gasek, Nathan, George A. Kuchel, James L. Kirkland, & Ming Xu. (2021). Strategies for targeting senescent cells in human disease. Nature Aging. 1(10). 870–879. 340 indexed citations breakdown →
20.
Xu, Ming, et al.. (2020). The Effect of SOCS3 on the Epithelial Stromal Transformation of Human Hepatoma MHCC97-H Cells. International journal of research studies in biosciences. 8(7). 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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