Liangyi Chen

8.8k citations
181 papers · 5.2k indexed · 3 hit papers · h-index 38

Liangyi Chen

168 papers receiving 5.1k citations

Hit Papers

Trimethylamine N-...442017202620202023100200300400

Peers

Liangyi Chen
Comparison fields: 5 of 146
  • Biophysics 1.1k
  • Sensory Systems 819
  • Structural Biology 166
  • Biochemistry 315
  • Cellular and Molecular Neuroscience 953
Replace David W. Piston with:
David W. Piston United States
Chikara Sato Japan
Roland Nitschke Germany
Manuela Schmidt Germany
Eric R. Schreiter United States
Michael Z. Lin United States
Bailong Xiao China
Grégory Giannone France
Kenzo Hirose Japan
Kevin E. Fogarty United States
Liangyi Chen relative to David W. Piston United States David W. Piston's profile →
Citations per field
00.5×10.1×
David W. Piston · 1×
Citations per year

Countries citing papers authored by Liangyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Liangyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20250
4 20252
5
Trimethylamine N-oxide impairs β-cell function and glucose tolerancebreakdown →
202444
6 202415
7 20233
8 202339
9 202333
10 20232
11 202227
12 20222
13 202110
14 202159
15 20214
16 20206
17 201935
18 201917
19 20130
20 2008204

About Liangyi Chen

Liangyi Chen is a scholar working on Biophysics, Structural Biology and Sensory Systems, having authored 181 papers that have together received 5.2k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (57 papers), Pancreatic function and diabetes (29 papers), Cell Image Analysis Techniques (15 papers), GaN-based semiconductor devices and materials (14 papers), Digital Holography and Microscopy (14 papers), Cellular transport and secretion (14 papers), Ion Channels and Receptors (11 papers) and Advanced Electron Microscopy Techniques and Applications (11 papers). The work is most often cited by research in Biophysics (1.1k citations), Sensory Systems (819 citations) and Structural Biology (166 citations). Liangyi Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tao Xu, Pingyong Xu, Jingze Lu, Xiaoshuai Huang, Bertil Hille, Runlong Wu, Liuju Li, Weijian Zong, Zhengzheng Li and Zhengzheng Li. Their work appears in journals such as Nature Communications, Nature Methods, Optics Express, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

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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