Chen Su

779 citations
51 papers · 546 · h-index 13

Impact in

Papers in

Chen Su

45 papers receiving 535 citations

Peers

Chen Su
Comparison fields: 5 of 78
  • Pharmacology 103
  • Cardiology and Cardiovascular Medicine 101
  • Pharmacology 42
  • Neurology 26
  • Complementary and alternative medicine 22
Replace Qingjie Chen with:
Qingjie Chen China
Wen‐Wu Bai China
Hu Xu China
Şeniz Demiryürek Türkiye
Xiaogang Du China
Christopher J. Mingone United States
David Barit Australia
Yanan Xie China
Yanting Chen China
Chen Su relative to Qingjie Chen China Qingjie Chen's profile →
Citations per field
00.5×1.7×
Qingjie Chen · 1×
Citations per year

Countries citing papers authored by Chen Su

Since Specialization
Citations

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

Fields of papers citing papers by Chen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201296
2 201162
3 201039
4 200936
5 201930
6 201729
7 201725
8 202223
9 202122
10 202319
11 202118
12 201914
13 201912
14 202511
15 202010
16 20209
17 20168
18 20178
19 20197
20 20227

About Chen Su

Chen Su is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Pharmacology, having authored 51 papers that have together received 546 indexed citations. Recurring topics across this work include Cardiac Arrhythmias and Treatments (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Berberine and alkaloids research (3 papers), Blood Pressure and Hypertension Studies (2 papers), Adipose Tissue and Metabolism (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Pharmacology (103 citations), Cardiology and Cardiovascular Medicine (101 citations), Pharmacology (42 citations), Neurology (26 citations) and Complementary and alternative medicine (22 citations). Chen Su has collaborated with scholars based in China, United States and Trinidad and Tobago. Frequent co-authors include Jun Tao, Zhen Yang, Wenhao Xia, Fang Wu, Renliang Zhao, Fei Cheng, Yan Wang, Bingbo Yu, Jing Li and Xiaoyu Yang. Their work appears in journals such as International Journal of Cardiology, Frontiers in Cardiovascular Medicine, Clinical and Experimental Hypertension, Journal of the American College of Cardiology and Pacing and Clinical 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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