Kevin C. Chen

2.9k citations
53 papers · 1.7k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Electrospun Nanofibers in Biomedical Applications
    • biodegradable polymer synthesis and properties

Papers in

Kevin C. Chen

51 papers receiving 1.6k citations

Peers

Kevin C. Chen
Comparison fields: 5 of 117
  • Cancer Research 386
  • Biomaterials 290
  • Atomic and Molecular Physics, and Optics 264
  • Molecular Biology 557
  • Process Chemistry and Technology 24
Replace Danni Yu with:
Danni Yu China
Hongyuan Jiang China
Alessandro Tona United States
Akihiro Yoshida Japan
Luis J. Fernández Spain
Gerardo Perozziello Italy
Yoshihiro Morishita Japan
Andy Tay Singapore
Kandice Tanner United States
Sara Nocentini Italy
Kevin C. Chen relative to Danni Yu China Danni Yu's profile →
Citations per field
00.5×12×
Danni Yu · 1×
Citations per year

Countries citing papers authored by Kevin C. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Kevin C. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010276
2 2014207
3 2014133
4 2010131
5 201496
6 201977
7 201361
8 202151
9 199850
10 202242
11 200439
12 201338
13 201434
14 202132
15 199831
16 201229
17 202328
18 202326
19 202421
20 201421

About Kevin C. Chen

Kevin C. Chen is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (15 papers), Quantum Information and Cryptography (11 papers), Advanced Fiber Laser Technologies (10 papers), Quantum optics and atomic interactions (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Photonic and Optical Devices (7 papers), Neural Networks and Reservoir Computing (6 papers) and Polymer composites and self-healing (5 papers). The work is most often cited by research in Cancer Research (386 citations), Biomaterials (290 citations), Atomic and Molecular Physics, and Optics (264 citations), Molecular Biology (557 citations) and Process Chemistry and Technology (24 citations). Kevin C. Chen has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Kaitian Xu, Yuqing Niu, Michael D. Phillips, Adam Siepel, Dirk Englund, Jr-Shiuan Yang, Andrea Ventura, Ping Mu, Doron Betel and Eric C. Lai. Their work appears in journals such as Journal of Biomedical Materials Research Part A, Nano Letters, PLoS ONE, Biomaterials and Physical Review Applied.

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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