Wan Shen

1.4k citations
28 papers · 1.1k · h-index 18

Impact in

Papers in

    • Adipose Tissue and Metabolism 7
    • Diet and metabolism studies 4
    • Adipokines, Inflammation, and Metabolic Diseases 9

Wan Shen

26 papers receiving 1.0k citations

Peers

Wan Shen
Comparison fields: 5 of 118
  • Physiology 338
  • Nutrition and Dietetics 193
  • Biochemistry 64
  • Clinical Psychology 206
  • Biological Psychiatry 16
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Xiufa Sun China
Marta Stelmach-Mardas Poland
María del Mar Bibiloni Spain
Kieran Cooley Australia
Elnaz Daneshzad Iran
Mohammad Hossein Rouhani Iran
Grace Bennett United States
Carmen Sayón-Orea Spain
Edith Lecomte France
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Citations per field
00.5×2.7×
Xiufa Sun · 1×
Citations per year

Countries citing papers authored by Wan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Wan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013139
2 202098
3 201695
4 201581
5 201375
6
Low dose streptozotocin (STZ) combined with high energy intake can effectively induce type 2 diabetes through altering the related gene expression.
200773
7 202167
8 202059
9 201458
10 202141
11 202237
12 201633
13 201232
14 202229
15 201528
16 201225
17 202119
18 201317
19 202216
20 201916

About Wan Shen

Wan Shen is a scholar working on Physiology, Epidemiology, Nutrition and Dietetics, Clinical Psychology and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Fatty Acid Research and Health (8 papers), Adipose Tissue and Metabolism (7 papers), Air Quality and Health Impacts (5 papers), Climate Change and Health Impacts (5 papers), Psychological Well-being and Life Satisfaction (4 papers), Diet and metabolism studies (4 papers) and Eating Disorders and Behaviors (3 papers). The work is most often cited by research in Physiology (338 citations), Nutrition and Dietetics (193 citations), Biochemistry (64 citations), Clinical Psychology (206 citations) and Biological Psychiatry (16 citations). Wan Shen has collaborated with scholars based in United States, Netherlands and Ireland. Frequent co-authors include Michael McIntosh, H. Rex Gaskins, Mary‐Jon Ludy, Chia‐Chi Chuang, Kristina Martinez, Chia-Hao Shih, Tanya Reid, Zhong Wei, Robin Hopkins and Patricia G. Wolf. Their work appears in journals such as Nutrients, The Journal of Nutritional Biochemistry, Journal of Nutrition, The FASEB Journal and Pediatric Allergy and Immunology.

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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