Nuan Chen

32 papers receiving 1.4k citations

Nuan Chen's Hit Papers

A 1.3-micrometre-thick elastic conductor for seamless on-skin and implantable sensors 2022 · 209 citations
2090+1+2Years since publication50100150200

Peers

Nuan Chen
Comparison fields: 5 of 93
  • Biomaterials 444
  • Molecular Medicine 146
  • Polymers and Plastics 314
  • Biomedical Engineering 702
  • Cellular and Molecular Neuroscience 279
Replace Rumin Fu with:
Rumin Fu China
Zhengao Wang China
Paweł Nakielski Poland
Junggeon Park South Korea
Xingmei Chen China
Hongbo Wang China
Lin Guan China
Honghao Hou China
Rene Mbeleck United Kingdom
Hou Liu China
Nuan Chen relative to Rumin Fu China Rumin Fu's profile →
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Citations per year

Countries citing papers authored by Nuan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019312
2 2018224
3
A 1.3-micrometre-thick elastic conductor for seamless on-skin and implantable sensors
Hit paper breakdown →
2022209
4 201893
5 201867
6 201967
7 201764
8 202049
9 201843
10 201737
11 201932
12 201924
13 202020
14 201618
15 202017
16 202416
17 202015
18 202014
19 202114
20 202114

About Nuan Chen

Nuan Chen is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Organic Chemistry, Biomaterials and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (8 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Neuroscience and Neural Engineering (7 papers), Cyclopropane Reaction Mechanisms (6 papers), Catalytic Alkyne Reactions (6 papers), Conducting polymers and applications (5 papers), Advanced Memory and Neural Computing (5 papers) and Nerve injury and regeneration (5 papers). The work is most often cited by research in Biomaterials (444 citations), Molecular Medicine (146 citations), Polymers and Plastics (314 citations), Biomedical Engineering (702 citations) and Cellular and Molecular Neuroscience (279 citations). Nuan Chen has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Seeram Ramakrishna, Lingling Tian, Nitish V. Thakor, Liumin He, Shengjie Peng, Shengfeng Chen, Haiqian Liu, Qiao Xiao, Jianghui Liu and Linlin Li. Their work appears in journals such as Organic Letters, The Journal of Organic Chemistry, Science Advances, Materials Science and Engineering C and Frontiers in Pediatrics.

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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