Peng Yu

1.8k citations
83 papers · 1.3k · h-index 22

Impact in

Papers in

Peng Yu

78 papers receiving 1.3k citations

Peers

Peng Yu
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 285
  • Clinical Biochemistry 67
  • Endocrine and Autonomic Systems 65
  • Complementary and alternative medicine 76
  • Immunology 165
Replace Xiaowei Nie with:
Xiaowei Nie China
Aihua Chen China
Maritza J. Romero United States
Susana Vallejo Spain
Remise Gelışgen Türkiye
Ji Hee Lim South Korea
Rodrigo L. Castillo Chile
Alessia Perino Italy
Mariusz Gajda Poland
Jwu‐Lai Yeh Taiwan
Peng Yu relative to Xiaowei Nie China Xiaowei Nie's profile →
Citations per field
00.5×3.4×
Xiaowei Nie · 1×
Citations per year

Countries citing papers authored by Peng Yu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201190
2 201973
3 201464
4 202261
5 201357
6 201452
7
Elabela alleviates myocardial ischemia reperfusion-induced apoptosis, fibrosis and mitochondrial dysfunction through PI3K/AKT signaling.
202048
8 201344
9 201536
10 200934
11 201933
12 200732
13 201432
14 201432
15 201230
16 201229
17 201029
18 201727
19 201323
20 201022

About Peng Yu

Peng Yu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Physiology and Immunology, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cardiovascular Function and Risk Factors (6 papers), Advanced Glycation End Products research (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cardiac electrophysiology and arrhythmias (5 papers), Coronary Interventions and Diagnostics (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Clinical Biochemistry (67 citations), Endocrine and Autonomic Systems (65 citations), Complementary and alternative medicine (76 citations) and Immunology (165 citations). Peng Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming Tao, C. Keith Ozaki, Hong Jiang, Binh T. Nguyen, Yunzeng Zou, Ming Liu, Feng Cao, Ying Yu, Junbo Ge and Yiqun Tang. Their work appears in journals such as Journal of Vascular Surgery, Arteriosclerosis Thrombosis and Vascular Biology, American Journal Of Pathology, Academic Radiology and Oxidative Medicine and Cellular Longevity.

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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