Jun-zhu Chen

2.2k citations
84 papers · 1.6k · h-index 23

Impact in

Papers in

Jun-zhu Chen

81 papers receiving 1.6k citations

Peers

Jun-zhu Chen
Comparison fields: 5 of 129
  • Geriatrics and Gerontology 57
  • Cardiology and Cardiovascular Medicine 344
  • Complementary and alternative medicine 84
  • Pulmonary and Respiratory Medicine 290
  • Genetics 91
Replace Thomas Jansen with:
Thomas Jansen Germany
Lenin Mahimainathan United States
Yi‐Chen Li Taiwan
Xiang Zhou China
Xinxin Yu China
Bernard Lardy France
Stefano Raffaele Giannubilo Italy
Jun-zhu Chen relative to Thomas Jansen Germany Thomas Jansen's profile →
Citations per field
00.5×2×3×3.8×
Thomas Jansen · 1×
Citations per year

Countries citing papers authored by Jun-zhu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun-zhu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007247
2 2014103
3 201673
4 200466
5 200446
6 200346
7 202343
8 200840
9 202337
10 200334
11
Single nucleotide polymorphisms of the SCN5A gene in Han Chinese and their relation with Brugada syndrome.
200434
12 200934
13 201530
14 202030
15 200730
16 200529
17 200429
18 200828
19 200728
20 200726

About Jun-zhu Chen

Jun-zhu Chen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Geriatrics and Gerontology, Cell Biology and Hematology, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Cardiac electrophysiology and arrhythmias (7 papers), Connexins and lens biology (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Ion channel regulation and function (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). The work is most often cited by research in Geriatrics and Gerontology (57 citations), Cardiology and Cardiovascular Medicine (344 citations), Complementary and alternative medicine (84 citations), Pulmonary and Respiratory Medicine (290 citations) and Genetics (91 citations). Jun-zhu Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xingxiang Wang, Yunpeng Shang, Junhui Zhu, Xudong Xie, Furong Zhang, Qian-min Tao, Jianhua Zhu, Zhong Liu, Xiaogang Guo and Lei Lai. Their work appears in journals such as Journal of Zhejiang University SCIENCE B, International Journal of Cardiology, Journal of Zhejiang University. Science A, Life Sciences and Cardiovascular Drugs and Therapy.

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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