Mingquan Chen

2.3k citations
40 papers · 1.6k · 1 hit paper · h-index 15

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

    • Liver Disease Diagnosis and Treatment 8
    • Hepatitis B Virus Studies 6
    • Metabolomics and Mass Spectrometry Studies 4

Mingquan Chen

37 papers receiving 1.5k citations

Hit Papers

The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2 2020 · 807 citations
8070+2+4Years since publication250500750

Peers

Mingquan Chen
Comparison fields: 5 of 146
  • Infectious Diseases 685
  • Neurology 389
  • Hepatology 99
  • Cancer Research 155
  • Epidemiology 276
Replace Ming Zhong with:
Ming Zhong China
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Mingquan Chen relative to Ming Zhong China Ming Zhong's profile →
Citations per field
00.5×4.1×
Ming Zhong · 1×
Citations per year

Countries citing papers authored by Mingquan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingquan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The ACE2 expression in human heart indicates new potential mechanism of heart injury among patients infected with SARS-CoV-2
Hit paper breakdown →
2020807
2 2015136
3 2021107
4 201685
5 201741
6 201740
7 200939
8 201328
9 201526
10 201625
11 201622
12 201220
13 201619
14 201617
15 201915
16 201512
17 201711
18 201711
19 201811
20 202110

About Mingquan Chen

Mingquan Chen is a scholar working on Epidemiology, Molecular Biology, Hepatology, Cancer Research and Immunology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Hepatitis B Virus Studies (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer, Lipids, and Metabolism (3 papers), Hepatitis C virus research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Urinary Bladder and Prostate Research (2 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Infectious Diseases (685 citations), Neurology (389 citations), Hepatology (99 citations), Cancer Research (155 citations) and Epidemiology (276 citations). Mingquan Chen has collaborated with scholars based in China, Singapore and Sierra Leone. Frequent co-authors include Chenglong Xiong, Xiangjie Li, Liang Chen, Yi Feng, Zhi Yang, Jingwei Song, Jun Wang, Chong Huang, Qi Cheng and Jianming Zheng. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, Metabolomics, Frontiers in Medicine and Experimental Neurology.

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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