Mingkai Chen

748 citations
27 papers · 440 · h-index 10

Impact in

Papers in

Mingkai Chen

23 papers receiving 435 citations

Peers

Mingkai Chen
Comparison fields: 5 of 86
  • Obstetrics and Gynecology 103
  • Geriatrics and Gerontology 42
  • Hepatology 58
  • Epidemiology 144
  • Public Health, Environmental and Occupational Health 105
Replace Huanhuan Wei with:
Huanhuan Wei China
Xueying Li China
Chiara Zusi Italy
L. Anne Gilmore United States
Chandrika Wijeyaratne Sri Lanka
Yi Shen China
Nigel W. Brown United Kingdom
Philip S. Hall United States
Samia Bokhari Saudi Arabia
Annika C. Montag United States
Mingkai Chen relative to Huanhuan Wei China Huanhuan Wei's profile →
Citations per field
00.5×6.4×
Huanhuan Wei · 1×
Citations per year

Countries citing papers authored by Mingkai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingkai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 202274
3 202267
4 202430
5 202330
6 202320
7 200918
8 202316
9 202213
10 201411
11 20246
12 20246
13 20254
14 20233
15 20232
16 20232
17 20232
18 20232
19 20232
20 20251

About Mingkai Chen

Mingkai Chen is a scholar working on Epidemiology, Molecular Biology, Hepatology, Pathology and Forensic Medicine and Geriatrics and Gerontology, having authored 27 papers that have together received 440 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Epigenetics and DNA Methylation (4 papers), Alcohol Consumption and Health Effects (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Liver Disease and Transplantation (3 papers), AI in cancer detection (2 papers), Cancer-related molecular mechanisms research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Obstetrics and Gynecology (103 citations), Geriatrics and Gerontology (42 citations), Hepatology (58 citations), Epidemiology (144 citations) and Public Health, Environmental and Occupational Health (105 citations). Mingkai Chen has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Yuanbin Liu, Jian Zhang, Liang Sun, Hongbo Qi, Hua Zhang, Jun Wang, Philip N. Baker, Yuan Shi, Guoming Sun and Xin Luo. Their work appears in journals such as Frontiers in Immunology, Journal of Gastroenterology and Hepatology, Diabetes & Metabolic Syndrome Clinical Research & Reviews, Archives of Medical Science and International Journal of Molecular Sciences.

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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