Xinpu Chen

542 citations
15 papers · 408 · h-index 10

Impact in

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Gut microbiota and health 3
    • Metabolism, Diabetes, and Cancer 1

Xinpu Chen

15 papers receiving 399 citations

Peers

Xinpu Chen
Comparison fields: 5 of 83
  • Physiology 106
  • Endocrinology, Diabetes and Metabolism 63
  • Biological Psychiatry 8
  • Biochemistry 19
  • Molecular Biology 186
Replace Harrison M. Penrose with:
Harrison M. Penrose United States
Ryohei Sekimoto Japan
Marzena Dworacka Poland
Maria Soledad Pizarro-Sánchez Spain
Mizuko Osaka Japan
Xiaoyang Shi China
Mariana Rodrigues Davanso Brazil
Carrie A. Millward United States
Caitlin Lewis United States
Abigail Peairs United States
Xinpu Chen relative to Harrison M. Penrose United States Harrison M. Penrose's profile →
Citations per field
00.5×2.7×
Harrison M. Penrose · 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

15 of 15 papers shown
#Work
1 2018103
2 201281
3 201269
4 201538
5 201726
6 201025
7 201314
8 202213
9 201312
10 20149
11 20225
12 20204
13 20164
14 20213
15 20142

About Xinpu Chen

Xinpu Chen is a scholar working on Epidemiology, Molecular Biology, Physiology, Immunology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 408 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Gut microbiota and health (3 papers), Diet and metabolism studies (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Immune cells in cancer (2 papers), Pancreatic function and diabetes (1 paper), Diet, Metabolism, and Disease (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Physiology (106 citations), Endocrinology, Diabetes and Metabolism (63 citations), Biological Psychiatry (8 citations), Biochemistry (19 citations) and Molecular Biology (186 citations). Xinpu Chen has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Sridevi Devaraj, Ishwarlal Jialal, Beverley Adams‐Huet, Harmeet Kaur, Sophia Y. Tsai, Jun Qin, Ming‐Jer Tsai, Isabel Cordero‐Herrera, Sonia Ramos and Hong Bo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinica Chimica Acta, Clinical Chemistry, World Neurosurgery and Frontiers in Neuroinformatics.

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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