Nuoya Chen

21 papers receiving 446 citations

Peers

Nuoya Chen
Comparison fields: 5 of 108
  • Biomaterials 151
  • Surfaces, Coatings and Films 69
  • Anesthesiology and Pain Medicine 22
  • Rehabilitation 22
  • Surgery 114
Replace Zeyu Du with:
Zeyu Du China
Shuko Suzuki Australia
Beom Kang Huh South Korea
Ahmed Gamal Egypt
Zhiyun Dong China
Tung Dang-Xuan Tran Vietnam
Yue Xi China
Seung Ho Lee South Korea
Kebing Wang China
Nuoya Chen relative to Zeyu Du China Zeyu Du's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nuoya Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nuoya Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202280
2 202162
3 202152
4 202344
5 202133
6 202225
7 202221
8 202320
9 202119
10 202517
11 202215
12 202313
13 202212
14 202411
15 20218
16 20236
17 20255
18
Inappropriateness of medication prescriptions about chronic kidney disease patients without dialysis therapy in a Chinese tertiary teaching hospital
20162
19 20242
20 20242

About Nuoya Chen

Nuoya Chen is a scholar working on Biomaterials, Surgery, Molecular Biology, Surfaces, Coatings and Films and Biomedical Engineering, having authored 24 papers that have together received 451 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (9 papers), Polymer Surface Interaction Studies (4 papers), Cardiac and Coronary Surgery Techniques (3 papers), Wound Healing and Treatments (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Health disparities and outcomes (2 papers), Healthcare Systems and Reforms (2 papers) and Planarian Biology and Electrostimulation (2 papers). The work is most often cited by research in Biomaterials (151 citations), Surfaces, Coatings and Films (69 citations), Anesthesiology and Pain Medicine (22 citations), Rehabilitation (22 citations) and Surgery (114 citations). Nuoya Chen has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Yunbing Wang, Rifang Luo, Li Yang, Bo Zhang, Haoshuang Wu, Ming Yang, Yumei Qin, Mingyu Li, Daihua Fu and Ye Wu. Their work appears in journals such as Regenerative Biomaterials, ACS Applied Materials & Interfaces, Chemical Engineering Journal, Colloids and Surfaces A Physicochemical and Engineering Aspects and International Journal of Biological Macromolecules.

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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