Jun Chen

7.3k citations
169 papers · 6.2k · 1 hit paper · h-index 43

Impact in

Papers in

Jun Chen

166 papers receiving 6.0k citations

Jun Chen's Hit Papers

A structural basis for drug-induced long QT syndrome 2000 · 804 citations
8040+8+17Years since publication250500750

Peers

Jun Chen
Comparison fields: 5 of 150
  • Cardiology and Cardiovascular Medicine 1.3k
  • Biomaterials 707
  • Electrochemistry 325
  • Molecular Biology 3.3k
  • Cellular and Molecular Neuroscience 638
Replace Lin Cui with:
Lin Cui China
Zhenzhen Li China
Gaetano Cairo Italy
Jing Lü China
Jing Tian China
Yanjun Zhang China
Wenwen Li China
Qinghua Hu China
Paul A. Cahill United States
Lucienne Juillerat‐Jeanneret Switzerland
Jun Chen relative to Lin Cui China Lin Cui's profile →
Citations per field
00.5×4.8×
Lin Cui · 1×
Citations per year

Countries citing papers authored by Jun Chen

Since Specialization
Citations

This map shows the geographic impact of Jun 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 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 Chen more than expected).

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A structural basis for drug-induced long QT syndrome
Hit paper breakdown →
2000804
2 2017207
3 2012164
4 2002164
5 2002151
6 2002146
7 2010138
8 2001133
9 2021124
10 2011121
11 2019120
12 2021110
13 2012103
14 201798
15 201797
16 201993
17 202093
18 201488
19 201487
20 201787

About Jun Chen

Jun Chen is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Cellular and Molecular Neuroscience and Biomaterials, having authored 169 papers that have together received 6.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (36 papers), Nanoplatforms for cancer theranostics (21 papers), Nanoparticle-Based Drug Delivery (18 papers), Advanced Nanomaterials in Catalysis (15 papers), Electrochemical sensors and biosensors (14 papers), Ion channel regulation and function (13 papers), Neuroscience and Neuropharmacology Research (12 papers) and Cardiac electrophysiology and arrhythmias (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Biomaterials (707 citations), Electrochemistry (325 citations), Molecular Biology (3.3k citations) and Cellular and Molecular Neuroscience (638 citations). Jun Chen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Michael C. Sanguinetti, Chris Culberson, John S. Mitcheson, Monica Lin, Chao Yu, Junlin He, Martin Tristani‐Firouzi, Guiscard Seebohm, Yazhen Niu and Yilin Zhao. Their work appears in journals such as Biosensors and Bioelectronics, Microchimica Acta, Biomaterials, Journal of Materials Chemistry B and ACS Applied Materials & Interfaces.

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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