Jun Chen

7.2k citations
165 papers · 5.8k · 1 hit paper · h-index 41

Impact in

Papers in

Jun Chen

161 papers receiving 5.7k citations

Jun Chen's Hit Papers

A structural basis for drug-induced long QT syndrome 2000 · 758 citations
7580+8+17Years since publication250500750

Peers

Jun Chen
Comparison fields: 5 of 150
  • Cardiology and Cardiovascular Medicine 1.3k
  • Biomaterials 679
  • Electrochemistry 312
  • Molecular Biology 3.4k
  • Cellular and Molecular Neuroscience 663
Replace Lin Cui with:
Lin Cui China
Svetlana Lutsenko United States
Zhenzhen Li China
Gaetano Cairo Italy
Jing Tian China
Yanjun Zhang China
Qinghua Hu China
Wenwen Li China
Lucienne Juillerat‐Jeanneret Switzerland
Paul A. Cahill United States
Jun Chen relative to Lin Cui China Lin Cui's profile →
Citations per field
00.5×3.9×
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 165 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 →
2000758
2 2017204
3 2002158
4 2012149
5 2002146
6 2002142
7 2010125
8 2001124
9 2011117
10 2019114
11 2021113
12 2021105
13 201294
14 201794
15 202092
16 201989
17 201788
18 201487
19 201484
20 201783

About Jun Chen

Jun Chen is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, Immunology and Materials Chemistry, having authored 165 papers that have together received 5.8k 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 (11 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 (679 citations), Electrochemistry (312 citations), Molecular Biology (3.4k citations) and Cellular and Molecular Neuroscience (663 citations). Jun Chen has collaborated with scholars based in China, United States and Canada. 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, ACS Applied Materials & Interfaces and Journal of Materials Chemistry B.

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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