Changle Liu

565 citations
26 papers · 432 · h-index 12

Impact in

    • Atrial Fibrillation Management and Outcomes
    • Cardiovascular Function and Risk Factors
    • Cardiac electrophysiology and arrhythmias
    • Cardiac Arrhythmias and Treatments
    • Cardiovascular Disease and Adiposity
  • Physiology top 10%
    • Adenosine and Purinergic Signaling

Papers in

Changle Liu

21 papers receiving 426 citations

Peers

Changle Liu
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 240
  • Physiology 30
  • Cancer Research 49
  • Endocrinology, Diabetes and Metabolism 51
  • Geriatrics and Gerontology 9
Replace Yoji Machida with:
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Dong Zheng China
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Andrea Wan Canada
Junco S. Warren United States
Zhongzhou Guo China
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Changle Liu relative to Yoji Machida Japan Yoji Machida's profile →
Citations per field
00.5×8.3×
Yoji Machida · 1×
Citations per year

Countries citing papers authored by Changle Liu

Since Specialization
Citations

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

Fields of papers citing papers by Changle Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201260
2 201854
3 201451
4 202038
5 201738
6 201334
7 201626
8 201425
9 199117
10 201615
11 202413
12 201612
13 202311
14 201711
15 20197
16 20226
17 20164
18 20233
19 20223
20 20182

About Changle Liu

Changle Liu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Civil and Structural Engineering, Physiology and Surgery, having authored 26 papers that have together received 432 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Atrial Fibrillation Management and Outcomes (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Adenosine and Purinergic Signaling (3 papers), Infrastructure Resilience and Vulnerability Analysis (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Heart Failure Treatment and Management (2 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (240 citations), Physiology (30 citations), Cancer Research (49 citations), Endocrinology, Diabetes and Metabolism (51 citations) and Geriatrics and Gerontology (9 citations). Changle Liu has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Tong Liu, Guangping Li, Huaying Fu, Jian Li, Gary Tse, Glenn S. Edwards, Ruimeng Liu, Yajuan Yang, Ning Jiang and Jiuchun Qiu. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Frontiers in Cardiovascular Medicine, BMC Cardiovascular Disorders, Autonomic Neuroscience and Journal of Cardiovascular Electrophysiology.

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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