Min Zheng

13.0k citations
247 papers · 9.7k indexed · 2 hit papers · h-index 46

Min Zheng

235 papers receiving 9.6k citations

Hit Papers

Mesenchymal stem cell-derived exosomes as a new therapeut...466201420262018202250010001.5k2.0k2.5k

Peers

Min Zheng
Comparison fields: 5 of 180
  • Hepatology 898
  • Cancer Research 1.7k
  • Clinical Biochemistry 619
  • Geriatrics and Gerontology 327
  • Immunology 1.6k
Replace Zhi Chen with:
Zhi Chen China
Qin Zhang China
Min Chen China
Cheorl‐Ho Kim South Korea
Zheng-gang Liu United States
Peter Boor Germany
Jing‐Yuan Fang China
Amy S. Lee United States
Daniel Hwang United States
Kan Chen China
Min Zheng relative to Zhi Chen China Zhi Chen's profile →
Citations per field
00.5×
Zhi Chen · 1×
Citations per year

Countries citing papers authored by Min Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Min Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20246
4 20249
5 20240
6 20238
7 20231
8 20237
9 20233
10 202254
11 202229
12 202122
13 202012
14 201927
15
Evaluation on elasticity of carotid artery with QAS and X-strain technique in patients with systemic lupus erythematosus
20141
16
An Experimental Study of Analgesic Effects of Sambucus Decoction on Mice
20121
17
Fatty acid composition of human breast milk in Shanghai and Chongqing of China
20112
18 201081
19 200983
20
DNA Microarray Analysis of Mouse Contralateral Eye Following HSV-1 Anterior Chamber Inoculation
20021

About Min Zheng

Min Zheng is a scholar working on Hepatology, Cancer Research and Epidemiology, having authored 247 papers that have together received 9.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (32 papers), Hepatitis B Virus Studies (20 papers), MicroRNA in disease regulation (15 papers), Ubiquitin and proteasome pathways (12 papers), Hepatitis C virus research (11 papers), Extracellular vesicles in disease (11 papers), Liver physiology and pathology (10 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Hepatology (898 citations), Cancer Research (1.7k citations) and Clinical Biochemistry (619 citations). Min Zheng has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yanning Liu, Yu Shi, Zhi Chen, Ying Yang, Qiao Yang, Jiliang He, Hangdi Xu, Shuping Li, Guangzhong Song and Feng Chen. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

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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