Shanghai Chen

1.8k citations
42 papers · 1.4k · h-index 24

Impact in

Papers in

    • Adipose Tissue and Metabolism 16
    • Metabolism, Diabetes, and Cancer 6
    • Fibroblast Growth Factor Research 3

Shanghai Chen

42 papers receiving 1.4k citations

Peers

Shanghai Chen
Comparison fields: 5 of 80
  • Endocrine and Autonomic Systems 138
  • Physiology 409
  • Aging 24
  • Cancer Research 182
  • Biochemistry 88
Replace Shangang Zhao with:
Shangang Zhao United States
Hayley T. Nicholls United States
Feifan Guo China
Nathalie Véga France
Verena Albert Switzerland
Steve Risis Australia
Lucile Dollet Sweden
Frédéric Tremblay Canada
Alexandra Chadt Germany
Kim A. Sjøberg Denmark
Shanghai Chen relative to Shangang Zhao United States Shangang Zhao's profile →
Citations per field
00.5×1.5×1.8×
Shangang Zhao · 1×
Citations per year

Countries citing papers authored by Shanghai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shanghai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009136
2 2018101
3 201177
4 201670
5 201469
6 201959
7 201152
8 201750
9 201349
10 201247
11 201645
12 202043
13 201540
14 201640
15 201637
16 201635
17 201335
18 201432
19 201731
20 201828

About Shanghai Chen

Shanghai Chen is a scholar working on Physiology, Molecular Biology, Surgery, Endocrine and Autonomic Systems and Epidemiology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Pancreatic function and diabetes (12 papers), Regulation of Appetite and Obesity (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Muscle metabolism and nutrition (3 papers), Lipid metabolism and biosynthesis (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (138 citations), Physiology (409 citations), Aging (24 citations), Cancer Research (182 citations) and Biochemistry (88 citations). Shanghai Chen has collaborated with scholars based in China and United States. Frequent co-authors include Feifan Guo, Fei Xiao, Junjie Yu, Yajie Guo, Chunxia Wang, Jiali Deng, Feifan Guo, Qingshu Meng, Ying Du and Feixiang Yuan. Their work appears in journals such as Diabetes, Nature Communications, The FASEB Journal, Autophagy and Journal of Molecular Endocrinology.

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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