Xinpu Chen

551 citations
16 papers · 424 · h-index 10

Impact in

Papers in

    • Gut microbiota and health 3
    • Developmental Biology and Gene Regulation 1
    • Angiogenesis and VEGF in Cancer 1
    • Adipokines, Inflammation, and Metabolic Diseases 3

Xinpu Chen

15 papers receiving 415 citations

Peers

Xinpu Chen
Comparison fields: 5 of 76
  • Physiology 89
  • Endocrinology, Diabetes and Metabolism 51
  • Biochemistry 19
  • Molecular Biology 173
  • Biological Psychiatry 5
Replace Yongjun Wang with:
Yongjun Wang China
Shogo Kato Japan
Harrison M. Penrose United States
Archana Kangath United States
Scott R. Welak United States
Flavien Berthou Switzerland
Yu Tsushima Japan
Mustapha Mecili France
Xinpu Chen relative to Yongjun Wang China Yongjun Wang's profile →
Citations per field
00.5×2.5×
Yongjun Wang · 1×
Citations per year

Countries citing papers authored by Xinpu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xinpu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018106
2 201282
3 201271
4 201545
5 201026
6 201726
7 201314
8 202214
9 201313
10 20149
11 20225
12 20164
13 20204
14 20213
15 20142
16 20230

About Xinpu Chen

Xinpu Chen is a scholar working on Molecular Biology, Epidemiology, Physiology, Surgery and Immunology, having authored 16 papers that have together received 424 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diet and metabolism studies (2 papers), Developmental Biology and Gene Regulation (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Fatty Acid Research and Health (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Physiology (89 citations), Endocrinology, Diabetes and Metabolism (51 citations), Biochemistry (19 citations), Molecular Biology (173 citations) and Biological Psychiatry (5 citations). Xinpu Chen has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Sridevi Devaraj, Ishwarlal Jialal, Beverley Adams‐Huet, Harmeet Kaur, Ming‐Jer Tsai, Jun Qin, Sophia Y. Tsai, Sonia Ramos, Isabel Cordero‐Herrera and Yi Xu. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Metabolic Syndrome and Related Disorders, Pediatric Pulmonology, European Journal of Nutrition 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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