Run Du

1.2k citations
47 papers · 907 · h-index 15

Impact in

Papers in

Run Du

45 papers receiving 885 citations

Peers

Run Du
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 388
  • Nephrology 77
  • Clinical Biochemistry 41
  • Endocrinology, Diabetes and Metabolism 76
  • Epidemiology 131
Replace Koba Kupreishvili with:
Koba Kupreishvili Netherlands
Lian Xu China
Tetsuya Takahashi Japan
T. Cooper Woods United States
Adel Giaid Schwertani Canada
Malha Sadoune France
Christopher M. Ferguson United States
Judith de Haan Netherlands
Denise M. D’Andrea United States
Kenichi Sugioka Japan
Run Du relative to Koba Kupreishvili Netherlands Koba Kupreishvili's profile →
Citations per field
00.5×2×3×3.9×
Koba Kupreishvili · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 2015117
3 201254
4 201152
5 202239
6 201236
7 201228
8 201627
9 201823
10 201921
11 201619
12 201218
13 201318
14 202318
15 201317
16 202214
17 201614
18 202013
19 201212
20 201411

About Run Du

Run Du is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Immunology and Clinical Biochemistry, having authored 47 papers that have together received 907 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (9 papers), Cardiac Valve Diseases and Treatments (7 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Vascular Procedures and Complications (2 papers), Dialysis and Renal Disease Management (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (388 citations), Nephrology (77 citations), Clinical Biochemistry (41 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Epidemiology (131 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, Mathew Russell Williams and Illya Pushkar. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Cardiovascular Diabetology, Coronary Artery Disease, JACC: Cardiovascular Interventions and Journal of Clinical Medicine.

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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