Junpeng Yang

672 citations
29 papers · 341 · h-index 10

Impact in

Papers in

    • Gut microbiota and health 4
    • Metabolism, Diabetes, and Cancer 3
    • Virus-based gene therapy research 3
    • Diabetes and associated disorders 3

Junpeng Yang

25 papers receiving 333 citations

Peers

Junpeng Yang
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 119
  • Clinical Biochemistry 33
  • Physiology 98
  • Gastroenterology 18
  • Cardiology and Cardiovascular Medicine 55
Replace D. Valle with:
D. Valle Italy
Hans van Eijk Netherlands
Adrian Vella United States
Deng Ping Yin United States
Magdalena Szopa Poland
Lorena Suárez Spain
Toshikazu Takagi Japan
Abdelmajid Abid Tunisia
Xianlun Yin China
SunilK Kota India
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Citations per field
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Citations per year

Countries citing papers authored by Junpeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junpeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201367
2 202267
3 202041
4 202138
5 201923
6 201714
7 201413
8 202311
9 201910
10
Effects of pioglitazone and glipizide on platelet function in patients with type 2 diabetes.
201510
11 20158
12 20215
13 20245
14 20214
15 20244
16 20234
17 20253
18 20243
19 20243
20 20232

About Junpeng Yang

Junpeng Yang is a scholar working on Molecular Biology, Genetics, Physiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 29 papers that have together received 341 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Gut microbiota and health (4 papers), Virus-based gene therapy research (3 papers), Diabetes and associated disorders (3 papers), Diet and metabolism studies (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Clinical Biochemistry (33 citations), Physiology (98 citations), Gastroenterology (18 citations) and Cardiology and Cardiovascular Medicine (55 citations). Junpeng Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huijuan Yuan, Xueli Yang, Dongni Zhao, Wei Wei, Shasha Tang, Wenjuan Li, Fei Yan, Yalei Liu, Jianmin Ren and Lei Gong. Their work appears in journals such as International Journal of Biological Macromolecules, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Diabetes Investigation, China CDC Weekly and mBio.

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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