Fangyi Chen

107 papers receiving 1.9k citations

Peers

Fangyi Chen
Comparison fields: 5 of 136
  • Sensory Systems 509
  • Neurology 171
  • Aquatic Science 135
  • Otorhinolaryngology 79
  • Cognitive Neuroscience 267
Replace Masakazu Suzuki with:
Masakazu Suzuki Japan
Yan Chen China
Simona Rodighiero Italy
Daniel J. Smith United States
Hiroshi Nakanishi Japan
Reinhard W. Köster Germany
Masaru Kawamura Japan
Clemens Grabher Germany
Susumu Terakawa Japan
Akihiro Ikeda Japan
Fangyi Chen relative to Masakazu Suzuki Japan Masakazu Suzuki's profile →
Citations per field
00.5×8.0×
Masakazu Suzuki · 1×
Citations per year

Countries citing papers authored by Fangyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011135
2 201777
3 201768
4 201067
5 201965
6 201860
7 201958
8 202252
9 201950
10 201749
11 200644
12 201742
13 201740
14 201840
15 201239
16 202038
17 201737
18 201737
19 201636
20 201432

About Fangyi Chen

Fangyi Chen is a scholar working on Molecular Biology, Sensory Systems, Biomedical Engineering, Electrical and Electronic Engineering and Materials Chemistry, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (22 papers), Vestibular and auditory disorders (11 papers), Photoacoustic and Ultrasonic Imaging (11 papers), Optical Coherence Tomography Applications (9 papers), Luminescence and Fluorescent Materials (9 papers), Organic Light-Emitting Diodes Research (8 papers), Hearing Loss and Rehabilitation (7 papers) and Zebrafish Biomedical Research Applications (6 papers). The work is most often cited by research in Sensory Systems (509 citations), Neurology (171 citations), Aquatic Science (135 citations), Otorhinolaryngology (79 citations) and Cognitive Neuroscience (267 citations). Fangyi Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Niloy Choudhury, Alfred L. Nuttall, Steven L. Jacques, Haitao Wang, Ruikang K. Wang, Binglian Bai, Ke Bian, Min Li, Jiefu Zheng and Deyu Li. Their work appears in journals such as Chemical Research in Toxicology, Frontiers in Molecular Neuroscience, International Journal of Biological Macromolecules, Neural Plasticity and Frontiers in Cell and Developmental Biology.

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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