Nuan Chen

31 papers receiving 1.3k citations

Nuan Chen's Hit Papers

A 1.3-micrometre-thick elastic conductor for seamless on-skin and implantable sensors 2022 · 190 citations
1900+1+2Years since publication50100150

Peers

Nuan Chen
Comparison fields: 5 of 94
  • Biomaterials 412
  • Molecular Medicine 139
  • Polymers and Plastics 297
  • Biomedical Engineering 653
  • Cellular and Molecular Neuroscience 259
Replace Rumin Fu with:
Rumin Fu China
Zhengao Wang China
Paweł Nakielski Poland
Xingmei Chen China
Junggeon Park South Korea
Sixiang Li China
Lin Guan China
Hongbo Wang China
Jiahua Ni China
Honghao Hou China
Nuan Chen relative to Rumin Fu China Rumin Fu's profile →
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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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019295
2 2018198
3
A 1.3-micrometre-thick elastic conductor for seamless on-skin and implantable sensors
Hit paper breakdown →
2022190
4 201886
5 201962
6 201761
7 201854
8 202043
9 201840
10 201732
11 201930
12 201922
13 202018
14 201615
15 202015
16 202414
17 202014
18 202014
19 202113
20 202113

About Nuan Chen

Nuan Chen is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering, Organic Chemistry, Biomaterials and Molecular Biology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (8 papers), Catalytic C–H Functionalization Methods (8 papers), Neuroscience and Neural Engineering (7 papers), Cyclopropane Reaction Mechanisms (6 papers), Catalytic Alkyne Reactions (6 papers), Nerve injury and regeneration (5 papers), Conducting polymers and applications (5 papers) and Advanced Memory and Neural Computing (5 papers). The work is most often cited by research in Biomaterials (412 citations), Molecular Medicine (139 citations), Polymers and Plastics (297 citations), Biomedical Engineering (653 citations) and Cellular and Molecular Neuroscience (259 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 Rong Zhu. Their work appears in journals such as Organic Letters, The Journal of Organic Chemistry, Biomaterials Science, Scientific Reports and Materials Science and Engineering C.

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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