Yi-Ling Chen

1.3k citations
46 papers · 984 · h-index 16

Impact in

Papers in

Yi-Ling Chen

42 papers receiving 971 citations

Peers

Yi-Ling Chen
Comparison fields: 5 of 123
  • Cellular and Molecular Neuroscience 351
  • Biological Psychiatry 26
  • Behavioral Neuroscience 30
  • Molecular Biology 514
  • Pharmacology 99
Replace Hiroaki Matsubayashi with:
Hiroaki Matsubayashi Japan
Ao Dong China
Owen B. Wilson United States
Koichi Nishikawa Japan
Jinwoo Park United States
Fei Deng China
Linda Lundström Sweden
Kehong Zhang United States
Junpeng Qiao China
Chih-Chang Chao Taiwan
Yi-Ling Chen relative to Hiroaki Matsubayashi Japan Hiroaki Matsubayashi's profile →
Citations per field
00.5×4.2×
Hiroaki Matsubayashi · 1×
Citations per year

Countries citing papers authored by Yi-Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002222
2 2005163
3 200297
4 199951
5 201041
6 200236
7 201135
8 202335
9 200229
10 200627
11 201924
12 200324
13 201623
14 202321
15 202319
16 201216
17 200814
18 202310
19 202310
20 201810

About Yi-Ling Chen

Yi-Ling Chen is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering and Materials Chemistry, having authored 46 papers that have together received 984 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (7 papers), Electronic Packaging and Soldering Technologies (7 papers), 3D IC and TSV technologies (6 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (3 papers), Electrowetting and Microfluidic Technologies (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (351 citations), Biological Psychiatry (26 citations), Behavioral Neuroscience (30 citations), Molecular Biology (514 citations) and Pharmacology (99 citations). Yi-Ling Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Frances M. Leslie, Ursula H. Winzer‐Serhan, Layla Azam, Ron S. Broide, Antonella Caccamo, Salvatore Oddo, Frank M. LaFerla, Kim N. Green, Theodore A. Henderson and Robert Freedman. Their work appears in journals such as Journal of Materials Science Materials in Electronics, IEEE Wireless Communications Letters, Physica C Superconductivity, The Journal of Comparative Neurology and Neuroreport.

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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