Jun-zhu Chen

2.2k citations
102 papers · 1.7k · h-index 24

Impact in

Papers in

Jun-zhu Chen

97 papers receiving 1.6k citations

Peers

Jun-zhu Chen
Comparison fields: 5 of 131
  • Geriatrics and Gerontology 57
  • Cardiology and Cardiovascular Medicine 352
  • Complementary and alternative medicine 92
  • Pulmonary and Respiratory Medicine 276
  • Genetics 89
Replace Ying Fan with:
Ying Fan China
Zhichao Li China
Dinghong Min China
Min Xiu China
Lenin Mahimainathan United States
Yingying Chen China
Xiang Zhou China
Yi‐Chen Li Taiwan
Dai Li China
Jun-zhu Chen relative to Ying Fan China Ying Fan's profile →
Citations per field
00.5×2.8×
Ying Fan · 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 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007237
2 2014100
3 201670
4 200460
5 200344
6
Effects of puerarin on number and activity of endothelial progenitor cells from peripheral blood.
200443
7 202342
8 200442
9 200840
10 200933
11 200332
12
Single nucleotide polymorphisms of the SCN5A gene in Han Chinese and their relation with Brugada syndrome.
200431
13 202329
14 201529
15 200529
16 200429
17 202029
18 200827
19 200726
20 200726

About Jun-zhu Chen

Jun-zhu Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Plant Science, having authored 102 papers that have together received 1.7k 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), Cardiac Ischemia and Reperfusion (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Mycorrhizal Fungi and Plant Interactions (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Geriatrics and Gerontology (57 citations), Cardiology and Cardiovascular Medicine (352 citations), Complementary and alternative medicine (92 citations), Pulmonary and Respiratory Medicine (276 citations) and Genetics (89 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, Xiaogang Guo, Jian‐Hua Zhu and Zhong Liu. Their work appears in journals such as International Journal of Cardiology, Journal of Zhejiang University SCIENCE B, Circulation Journal, Phytotaxa and Life Sciences.

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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