Mingwei Chen

488 citations
37 papers · 342 · h-index 11

Impact in

Papers in

Mingwei Chen

35 papers receiving 339 citations

Peers

Mingwei Chen
Comparison fields: 5 of 60
  • Rehabilitation 65
  • Endocrinology, Diabetes and Metabolism 146
  • Cancer Research 37
  • Occupational Therapy 10
  • Genetics 18
Replace Lijing Jia with:
Lijing Jia China
Shin-ichiro Okizaki Japan
Julien Vouillarmet France
Jingbo Pang United States
Michał Kowara Poland
Can Xu China
Liangmiao Chen China
Bimin Shi China
Velimir Altabas Croatia
Mingwei Chen relative to Lijing Jia China Lijing Jia's profile →
Citations per field
00.5×1.5×2.2×
Lijing Jia · 1×
Citations per year

Countries citing papers authored by Mingwei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mingwei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201396
2 202326
3 202019
4 201916
5 202116
6 202015
7 202214
8 202214
9 202212
10 202212
11 202110
12 20239
13 20219
14 20139
15 20237
16
[Association of SNP276 in adiponectin gene with type 2 diabetes mellitus and insulin sensitivity].
20057
17 20246
18 20245
19 20255
20 20255

About Mingwei Chen

Mingwei Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Rehabilitation, Epidemiology and Oncology, having authored 37 papers that have together received 342 indexed citations. Recurring topics across this work include Diabetic Foot Ulcer Assessment and Management (9 papers), Wound Healing and Treatments (6 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes and associated disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Treatment and Management (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Rehabilitation (65 citations), Endocrinology, Diabetes and Metabolism (146 citations), Cancer Research (37 citations), Occupational Therapy (10 citations) and Genetics (18 citations). Mingwei Chen has collaborated with scholars based in China and United States. Frequent co-authors include Yao Dai, Jawahar L. Mehta, Xiaotong Zhao, Ying Tang, Datong Deng, Youmin Wang, Dandan Xie, Zongwen Shuai, Yangyang Jia and Shandong Ye. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Drug Design Development and Therapy, International Wound Journal, Scientific Reports and The FASEB Journal.

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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