Mingkuan Chen

1.1k citations
13 papers · 851 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Inflammasome and immune disorders 6
    • Glycosylation and Glycoproteins Research 2
    • Inflammation biomarkers and pathways 1

Mingkuan Chen

13 papers receiving 845 citations

Peers

Mingkuan Chen
Comparison fields: 5 of 93
  • Immunology 304
  • Nephrology 64
  • Molecular Biology 571
  • Hepatology 43
  • Epidemiology 168
Replace Irina N. Baranova with:
Irina N. Baranova United States
Jessica L. Chitty Australia
Akira Moh United States
Nívea F. Luz Brazil
Tzu‐Ming Jao Taiwan
Louis Hollingsworth United States
Emma J. Petrie Australia
Kenji Daigo Japan
Samuel McGee United States
Natália Ketelut-Carneiro Brazil
Mingkuan Chen relative to Irina N. Baranova United States Irina N. Baranova's profile →
Citations per field
00.5×1.7×
Irina N. Baranova · 1×
Citations per year

Countries citing papers authored by Mingkuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingkuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013323
2 2018103
3 202094
4 201073
5 201558
6 201858
7 201944
8 201442
9 201027
10 202215
11 202310
12 20233
13 20231

About Mingkuan Chen

Mingkuan Chen is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 13 papers that have together received 851 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (6 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Fungal Infections and Studies (2 papers), Streptococcal Infections and Treatments (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), MicroRNA in disease regulation (1 paper) and Inflammation biomarkers and pathways (1 paper). The work is most often cited by research in Immunology (304 citations), Nephrology (64 citations), Molecular Biology (571 citations), Hepatology (43 citations) and Epidemiology (168 citations). Mingkuan Chen has collaborated with scholars based in China and United States. Frequent co-authors include Guangxun Meng, Bing Sun, Wei Chen, Shuhui Sun, Xiaodong Wu, Xiangrui Wang, Yan Zeng, Yu Hu, Kairui Mao and Yan Wang. Their work appears in journals such as Journal of the American Chemical Society, Israel Journal of Chemistry, Cell Research, The Journal of Immunology and ACS Central Science.

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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