Duan Wu

1.7k citations
73 papers · 759 · h-index 15

Impact in

Papers in

Duan Wu

65 papers receiving 744 citations

Peers

Duan Wu
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 114
  • Immunology 127
  • Nephrology 37
  • Biochemistry 35
  • Molecular Biology 237
Replace Paul Canning with:
Paul Canning United Kingdom
Xiaofei An China
Alina Constantin Romania
Carlos M. Rodríguez‐Ortigosa Spain
Misaki Iwashita Japan
Blake J. Cochran Australia
Hideto Ishii Japan
Jason Hwang United States
Tatsuya Fukutomi Japan
Arthur Tucker United Kingdom
Duan Wu relative to Paul Canning United Kingdom Paul Canning's profile →
Citations per field
00.5×
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Citations per year

Countries citing papers authored by Duan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Duan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metformin mitigates autoimmune insulitis by inhibiting Th1 and Th17 responses while promoting Treg production.
201969
2 201556
3 200550
4 202043
5 201537
6 201932
7 202027
8 202024
9 200824
10 202123
11 199623
12 201620
13 201618
14 202214
15 202014
16 202014
17 201913
18 202313
19 200512
20 201812

About Duan Wu

Duan Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 73 papers that have together received 759 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular Health and Disease Prevention (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Lipid metabolism and disorders (4 papers), Pancreatic function and diabetes (4 papers) and Natural Products and Biological Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Immunology (127 citations), Nephrology (37 citations), Biochemistry (35 citations) and Molecular Biology (237 citations). Duan Wu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Bang‐Gee Hsu, Bo Yang, Xuefeng Yu, Dongxia Ma, Ming‐Chun Chen, Zhishui Chen, Shi‐Wen Kuo, Frank McKeon, Dee Pei and Lin Zhu. Their work appears in journals such as International Journal of Environmental Research and Public Health, Clinica Chimica Acta, Gene, Materials Today Bio and Scientific Reports.

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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