Run Du

1.1k citations
45 papers · 828 · h-index 15

Impact in

Papers in

    • Cardiac Valve Diseases and Treatments 6
    • Cardiac Fibrosis and Remodeling 3
    • Cardiovascular Health and Disease Prevention 2
    • Acute Myocardial Infarction Research 2
    • Coronary Interventions and Diagnostics 9

Run Du

44 papers receiving 816 citations

Peers

Run Du
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 336
  • Nephrology 75
  • Clinical Biochemistry 41
  • Endocrinology, Diabetes and Metabolism 73
  • Surgery 160
Replace Hiroshi Sakai with:
Hiroshi Sakai Japan
H.‐P. Schultheiss Germany
Stephen B. Heitner United States
Wilson Tong United States
Koba Kupreishvili Netherlands
Alessandro Fucili Italy
Tetsuya Takahashi Japan
Lian Xu China
Akira Funayama Japan
Kai‐Hung Cheng Taiwan
Run Du relative to Hiroshi Sakai Japan Hiroshi Sakai's profile →
Citations per field
00.5×10×13×
Hiroshi Sakai · 1×
Citations per year

Countries citing papers authored by Run Du

Since Specialization
Citations

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

Fields of papers citing papers by Run Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019185
2 2015110
3 201252
4 201151
5 201236
6 202235
7 201228
8 201625
9 201823
10 201920
11 201619
12 201318
13 201217
14 201316
15 201614
16 202014
17 202313
18 201212
19 202211
20 201510

About Run Du

Run Du is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Molecular Biology and Immunology, having authored 45 papers that have together received 828 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Cardiac Valve Diseases and Treatments (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Vascular Procedures and Complications (2 papers), Advanced Glycation End Products research (2 papers), Cardiovascular Health and Disease Prevention (2 papers) and Acute Myocardial Infarction Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (336 citations), Nephrology (75 citations), Clinical Biochemistry (41 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Surgery (160 citations). Run Du has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ruiyan Zhang, Jinzhou Zhu, Lin Lu, Zhengbin Zhu, Jingwei Ni, Hui Han, Wei Feng Shen, Yanjia Chen, Hasan Jilaihawi and Homam Ibrahim. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Cardiovascular Diabetology, Catheterization and Cardiovascular Interventions, Journal of Clinical Medicine and Coronary Artery Disease.

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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