Lingyu Cui

476 citations
18 papers · 372 · h-index 9

Impact in

Papers in

    • Single-cell and spatial transcriptomics 8
    • Bioinformatics and Genomic Networks 4
    • Gene expression and cancer classification 3
    • Alzheimer's disease research and treatments 3

Lingyu Cui

18 papers receiving 369 citations

Peers

Lingyu Cui
Comparison fields: 5 of 86
  • Biological Psychiatry 46
  • Behavioral Neuroscience 21
  • Neurology 33
  • Pharmacology 59
  • Developmental Neuroscience 13
Replace Zhongxuan Ma with:
Zhongxuan Ma China
Lígia Fão Portugal
Jin Su China
Ziwei Chen China
Xunhu Gu China
Murli Mishra United States
Samir Ranjan Panda India
Esraa A. Kandil Egypt
S. Sırrı Bilge Türkiye
Lingyu Cui relative to Zhongxuan Ma China Zhongxuan Ma's profile →
Citations per field
00.5×3.8×
Zhongxuan Ma · 1×
Citations per year

Countries citing papers authored by Lingyu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lingyu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201799
2 201954
3 201650
4 201743
5 201826
6 201821
7 202220
8 202119
9 201915
10 20248
11 20234
12 20244
13 20213
14 20212
15 20251
16 20251
17 20261
18 20251

About Lingyu Cui

Lingyu Cui is a scholar working on Molecular Biology, Physiology, Pharmacology, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering, having authored 18 papers that have together received 372 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Bioinformatics and Genomic Networks (4 papers), Alzheimer's disease research and treatments (3 papers), Gene expression and cancer classification (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Fuel Cells and Related Materials (2 papers), Electrocatalysts for Energy Conversion (2 papers) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Biological Psychiatry (46 citations), Behavioral Neuroscience (21 citations), Neurology (33 citations), Pharmacology (59 citations) and Developmental Neuroscience (13 citations). Lingyu Cui has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Shunji Hattori, Yuko Ushiki‐Kaku, Toshihiko Hayashi, Xiaoyu Song, Shin‐ichi Tashiro, Weiwei Liu, Takashi Ikejima, Satoshi Onodera, Bo Liu and Fanxing Xu. Their work appears in journals such as International Immunopharmacology, Physiology & Behavior, Neurochemical Research, Briefings in Bioinformatics and International Journal of Hydrogen Energy.

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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