Mingzhen Li

2.2k citations
86 papers · 1.6k indexed · h-index 19

Impact in

Papers in

    • Extracellular vesicles in disease 6
    • Circular RNAs in diseases 3
    • Cancer, Hypoxia, and Metabolism 5
    • Cancer-related molecular mechanisms research 5

Mingzhen Li

77 papers receiving 1.6k citations

Peers

Mingzhen Li
Comparison fields: 5 of 124
  • Cancer Research 490
  • Biological Psychiatry 56
  • Molecular Biology 873
  • Surfaces, Coatings and Films 85
  • Behavioral Neuroscience 37
Replace Paul Jurasz with:
Paul Jurasz Canada
Jean R. McEwan United Kingdom
Qichuan Zhuge China
Dan Lv China
Jie Xie China
Mingyan Zhou United States
Fei Yang China
Brigitte Escoubet France
Ming Yao China
Mingzhen Li relative to Paul Jurasz Canada Paul Jurasz's profile →
Citations per field
00.5×4.7×
Paul Jurasz · 1×
Citations per year

Countries citing papers authored by Mingzhen Li

Since Specialization
Citations

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

Fields of papers citing papers by Mingzhen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingzhen Li, 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 Mingzhen Li Line = papers co-authored together Mingzhen Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017239
2 2017191
3 2010127
4 200990
5 201689
6 200873
7 201664
8
Attenuation of myocardial apoptosis by alpha-lipoic acid through suppression of mitochondrial oxidative stress to reduce diabetic cardiomyopathy.
200950
9 201650
10 201749
11 201047
12 201546
13 201045
14 201334
15 201928
16 201225
17 201724
18 202023
19 201819
20 201518

About Mingzhen Li

Mingzhen Li is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (6 papers), Stress Responses and Cortisol (6 papers), Extracellular vesicles in disease (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer-related molecular mechanisms research (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Hormonal Regulation and Hypertension (4 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (490 citations), Biological Psychiatry (56 citations), Molecular Biology (873 citations), Surfaces, Coatings and Films (85 citations) and Behavioral Neuroscience (37 citations). Mingzhen Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chen‐Yu Zhang, Ke Zen, Kevin Jon Williams, Ming‐Lin Liu, Hongwei Liang, Fangfang Jin, Tohru Kataoka, Hironori Edamatsu, Demin Yu and Dong Wang. Their work appears in journals such as Psychiatry Research, Frontiers in Public Health, Cancer Research, Frontiers in Medicine and 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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