Wen Dun

2.2k citations
47 papers · 1.6k indexed · h-index 26

Impact in

    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments
    • Atrial Fibrillation Management and Outcomes
    • Cardiomyopathy and Myosin Studies
    • Cardiovascular Effects of Exercise
    • Ion channel regulation and function
    • Receptor Mechanisms and Signaling

Papers in

Wen Dun

46 papers receiving 1.6k citations

Peers

Wen Dun
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 1.4k
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 290
  • Electrochemistry 20
  • Sensory Systems 15
Replace Jerry Curran with:
Jerry Curran United States
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Viktória Szüts Hungary
Katherine A. Sheehan United States
Jutta Weisser-Thomas Germany
Joanne T. Hulme United States
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Wen Dun relative to Jerry Curran United States Jerry Curran's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Wen Dun

Since Specialization
Citations

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

Fields of papers citing papers by Wen Dun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20244
3 202010
4 201919
5 201627
6 201289
7 201215
8 201252
9 201054
10 200961
11 200944
12 20099
13 200819
14 200832
15 200850
16 200637
17 200523
18 200432
19 200431
20 199944

About Wen Dun

Wen Dun is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Biochemistry and Neurology, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (40 papers), Ion channel regulation and function (36 papers), Cardiac Arrhythmias and Treatments (7 papers), Receptor Mechanisms and Signaling (7 papers), Cardiovascular Effects of Exercise (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (5 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Molecular Biology (1.1k citations), Cellular and Molecular Neuroscience (290 citations), Electrochemistry (20 citations) and Sensory Systems (15 citations). Wen Dun has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Penelope A. Boyden, Min Jiang, Gea‐Ny Tseng, Shigeo Baba, Masanori Hirose, Peter J. Mohler, Thomas J. Hund, Cándido Cabo, Patrick Wright and Henk E.D.J. ter Keurs. Their work appears in journals such as Cardiovascular Research, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Molecular and Cellular Cardiology, Circulation Research and Heart Rhythm.

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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