Linyu Chen

1.1k citations
29 papers · 969 · h-index 16

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Neurological Disorders and Treatments
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Linyu Chen

29 papers receiving 954 citations

Peers

Linyu Chen
Comparison fields: 5 of 111
  • Neurology 240
  • Biochemistry 62
  • Complementary and alternative medicine 76
  • Biological Psychiatry 17
  • Pharmacology 55
Replace Alessio Alfieri with:
Alessio Alfieri United Kingdom
Rodrigo Carrasco Chile
Dennis Y. Chuang United States
Hao Tang China
Sachiko Kanai Japan
Jia Cui China
Harpreet Kaur India
Kar‐Lok Wong Taiwan
Juhee Lim South Korea
Linyu Chen relative to Alessio Alfieri United Kingdom Alessio Alfieri's profile →
Citations per field
00.5×1.7×
Alessio Alfieri · 1×
Citations per year

Countries citing papers authored by Linyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201394
2 201286
3 201683
4 201275
5 201373
6 201272
7 201863
8 201462
9 201453
10 201349
11 201440
12 201836
13 201232
14 201329
15 201825
16 202016
17 202214
18 201814
19 201810
20 20249

About Linyu Chen

Linyu Chen is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Neurology, Health, Toxicology and Mutagenesis and Environmental Chemistry, having authored 29 papers that have together received 969 indexed citations. Recurring topics across this work include Terahertz technology and applications (6 papers), Photonic and Optical Devices (3 papers), Arsenic contamination and mitigation (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Membrane Separation Technologies (2 papers), Synthesis and properties of polymers (2 papers) and Barrier Structure and Function Studies (2 papers). The work is most often cited by research in Neurology (240 citations), Biochemistry (62 citations), Complementary and alternative medicine (76 citations), Biological Psychiatry (17 citations) and Pharmacology (55 citations). Linyu Chen has collaborated with scholars based in China, Portugal and New Zealand. Frequent co-authors include Xiangjian Zhang, Xumeng Zhao, Xue Bai, Chunhua Zhu, Lili Cui, Huimin Qiao, Ting Zhao, Jian Zhang, Lina Wang and Chaohui Wang. Their work appears in journals such as Neurochemical Research, Brain Research, IEEE photonics journal, Journal of Physics D Applied Physics and ACS Applied Materials & Interfaces.

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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