Jun Chen

7.2k total citations · 1 hit paper
165 papers, 5.8k citations indexed

About

Jun Chen is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jun Chen has authored 165 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 37 papers in Biomedical Engineering and 22 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jun Chen's work include Advanced biosensing and bioanalysis techniques (36 papers), Nanoplatforms for cancer theranostics (21 papers) and Nanoparticle-Based Drug Delivery (18 papers). Jun Chen is often cited by papers focused on Advanced biosensing and bioanalysis techniques (36 papers), Nanoplatforms for cancer theranostics (21 papers) and Nanoparticle-Based Drug Delivery (18 papers). Jun Chen collaborates with scholars based in China, United States and Canada. Jun Chen's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jun Chen

161 papers receiving 5.7k citations

Hit Papers

A structural basis for drug-induced long QT syndrome 2000 2026 2008 2017 2000 250 500 750

Peers

Jun Chen
Comparison fields: 5 of 150
  • Molecular Biology 3.4k
  • Biomedical Engineering 1.4k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Materials Chemistry 835
  • Biomaterials 679
Replace Lin Cui with:
Lin Cui China
Zhenzhen Li China
Svetlana Lutsenko United States
Jing Tian China
Paul A. Cahill United States
Hideki Sakai Japan
Lucienne Juillerat‐Jeanneret Switzerland
Jeremiah J. Morrissey United States
Gaetano Cairo Italy
Yi Yang China
Lin Cui China View profile →
Citations per field, relative to Jun Chen
Jun Chen · 1×
Citations per year, relative to Jun Chen
Jun Chen · 1×

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-authorship network of co-authors of Jun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Chen. A scholar is included among the top collaborators of Jun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Chen. Jun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 2
5 4
6 5
7 39
8 2
9 17
10 5
11 105
12 48
13 13
14
The Role of Microbiota in Human Reproductive Tract Cancers
3
15 34
16 114
17 56
18 16
19 4
20
Cluster Research on Modular Petroleum Equipment Based on Neural Network
1

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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