Mingjing Yan

18 papers receiving 1.1k citations

Mingjing Yan's Hit Papers

Aging and aging-related diseases: from molecular mechanisms to interventions and treatments 2022 · 808 citations
8080+1+2Years since publication250500750

Peers

Mingjing Yan
Comparison fields: 5 of 137
  • Aging 105
  • Geriatrics and Gerontology 64
  • Biological Psychiatry 33
  • Physiology 266
  • Neurology 57
Replace Lin Dou with:
Lin Dou China
Alberto Díaz‐Ruiz Spain
Zhenlong Xin China
Yohko Yoshida Japan
Huan Liang China
Sharon Phaneuf United States
Andrea Carpi Italy
Eva Siles Spain
Qian Xiao China
Mingjing Yan relative to Lin Dou China Lin Dou's profile →
Citations per field
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Lin Dou · 1×
Citations per year

Countries citing papers authored by Mingjing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Mingjing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingjing Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingjing Yan Line = papers co-authored together Mingjing Yan links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Aging and aging-related diseases: from molecular mechanisms to interventions and treatments
Hit paper breakdown →
2022808
2 201975
3 202161
4 202043
5 202238
6 202332
7 201924
8 202314
9 202212
10 202112
11 20239
12 20228
13 20243
14 20233
15 20203
16 20242
17 20232
18 20231

About Mingjing Yan

Mingjing Yan is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Biophysics and Cognitive Neuroscience, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electron Spin Resonance Studies (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (3 papers), EEG and Brain-Computer Interfaces (2 papers), Traditional Chinese Medicine Analysis (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Autophagy in Disease and Therapy (2 papers) and Hydrogen's biological and therapeutic effects (1 paper). The work is most often cited by research in Aging (105 citations), Geriatrics and Gerontology (64 citations), Biological Psychiatry (33 citations), Physiology (266 citations) and Neurology (57 citations). Mingjing Yan has collaborated with scholars based in China and Taiwan. Frequent co-authors include Tao Shen, Weiqing Tang, Jian Li, Xiuqing Huang, Lin Dou, Jun Guo, Shenghui Sun, Kun Xu, Yong Man and Que Wang. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, Journal of Pharmacy and Pharmacology, Journal of Biomedical Materials Research Part A, International Journal of Biological Sciences and European Journal of Pharmacology.

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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