Ming Xu

13.3k citations
129 papers · 6.0k indexed · 5 hit papers · h-index 31
Topics
Telomeres, Telomerase, and Senescence (16 papers)Calcium signaling and nucleotide metabolism (11 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Ming Xu

125 papers receiving 5.9k citations

Hit Papers

Targeting cellular senescence prevents age-related bone l...201520262018202220172015201520212022250500750

Peers

Ming Xu
Comparison fields: 5 of 149
  • Molecular Biology 2.6k
  • Physiology 2.4k
  • Immunology 1.0k
  • Epidemiology 788
  • Cancer Research 606
Replace Daohong Zhou with:
Daohong Zhou United States
Diana Jurk United States
Fátima Bosch Spain
Pierre‐Yves Desprez United States
Julie R. McMullen Australia
Bennett G. Childs United States
Beverly A. Rothermel United States
Guillermo Mariño France
Terry G. Unterman United States
Ming Xu relative to Daohong Zhou United States Daohong Zhou's profile →
Citations per field
00.5×1.5×
Daohong Zhou · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 1
4 9
5 1
6 1
7 6
8 11
9 9
10 20
11
The heterogeneity of cellular senescence: insights at the single-cell levelbreakdown →
166
12 23
13 24
14 1
15 68
16 31
17 29
18 96
19
Strategies for targeting senescent cells in human diseasebreakdown →
340
20 1

About Ming Xu

Ming Xu is a scholar working on Physiology, Physiology and Aging, having authored 129 papers that have together received 6.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (16 papers), Calcium signaling and nucleotide metabolism (11 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers). The work is most often cited by research in Aging (481 citations), Physiology (2.4k citations) and Immunology (1.0k citations). Ming Xu has collaborated with scholars based in China, United States and Japan. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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