Mingming Chen

56 papers receiving 1.3k citations

Peers

Mingming Chen
Comparison fields: 5 of 137
  • Neurology 208
  • Developmental Neuroscience 99
  • Biological Psychiatry 40
  • Critical Care and Intensive Care Medicine 59
  • Software 34
Replace Mingfeng Yang with:
Mingfeng Yang China
Jacqueline A. Frank United States
Ziwei Zhou China
Linhao Xu China
Frauke Neff Germany
Yasuhiro Ishihara Japan
Zuzana Tatarková Slovakia
Zongyong Zhang China
Victoria C. Stewart United Kingdom
Bin Xu China
Mingming Chen relative to Mingfeng Yang China Mingfeng Yang's profile →
Citations per field
00.5×3.5×
Mingfeng Yang · 1×
Citations per year

Countries citing papers authored by Mingming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201395
2 202076
3 201475
4 199664
5 201863
6 201562
7 201957
8 201954
9 202051
10 200845
11 201743
12 201338
13 201238
14 201538
15 200834
16 201334
17 202031
18 201930
19 201530
20 202129

About Mingming Chen

Mingming Chen is a scholar working on Molecular Biology, Epidemiology, Cellular and Molecular Neuroscience, Neurology and Oncology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Microbial Community Ecology and Physiology (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Tryptophan and brain disorders (3 papers) and Marine and coastal ecosystems (3 papers). The work is most often cited by research in Neurology (208 citations), Developmental Neuroscience (99 citations), Biological Psychiatry (40 citations), Critical Care and Intensive Care Medicine (59 citations) and Software (34 citations). Mingming Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhao‐Di Liu, Liang-Quan Sheng, Shui-Sheng Chen, Wen‐Xiong Wang, Yutao Ma, Huajie Xu, Chongfu Song, Prabodh Kapoor, Duane D. Winkler and Karolin Luger. Their work appears in journals such as Journal of Neuroinflammation, Frontiers in Immunology, Cellular and Molecular Neurobiology, The FASEB Journal and Injury.

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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