Yi-Ling Chen

1.3k citations
47 papers · 1.0k · h-index 17

Impact in

Papers in

Yi-Ling Chen

43 papers receiving 1.0k citations

Peers

Yi-Ling Chen
Comparison fields: 5 of 126
  • Cellular and Molecular Neuroscience 365
  • Biological Psychiatry 26
  • Behavioral Neuroscience 30
  • Molecular Biology 542
  • Pharmacology 104
Replace Vicente Martínez with:
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Ao Dong China
Koichi Nishikawa Japan
Jinwoo Park United States
Owen B. Wilson United States
Linda Lundström Sweden
Qingchun Guo China
Fei Deng China
Libo Zhang China
Junpeng Qiao China
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Citations per field
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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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002233
2 2005173
3 200298
4 199952
5 201041
6 200238
7 201135
8 202335
9 200232
10 200630
11 201925
12 200325
13 201623
14 202322
15 202319
16 201217
17 200816
18 202311
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 47 papers that have together received 1.0k 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 (365 citations), Biological Psychiatry (26 citations), Behavioral Neuroscience (30 citations), Molecular Biology (542 citations) and Pharmacology (104 citations). Yi-Ling Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Frances M. Leslie, Ursula H. Winzer‐Serhan, Layla Azam, Ron S. Broide, Salvatore Oddo, Kim N. Green, Antonella Caccamo, Frank M. LaFerla, Catherine E. Adams and Robert Freedman. Their work appears in journals such as Journal of Materials Science Materials in Electronics, Physica C Superconductivity, IEEE Wireless Communications Letters, The Journal of Comparative Neurology and Translational Psychiatry.

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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