Yuting Cui

1.4k citations
42 papers · 961 · h-index 18

Impact in

    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering
  • Neurology top 10%
    • Neurological disorders and treatments
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Yuting Cui

39 papers receiving 950 citations

Peers

Yuting Cui
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 246
  • Neurology 82
  • Biological Psychiatry 22
  • Endocrine and Autonomic Systems 54
  • Cognitive Neuroscience 144
Replace Ping‐Chieh Pao with:
Ping‐Chieh Pao United States
Zhi-Gang Xiong United States
В. П. Зинченко Russia
Soojung Lee United States
Takao Hirai Japan
Omar Porras Chile
Jia Zhu China
Junying Gao China
Thimmasettappa Thippeswamy United States
Anitsi Loaiza Chile
Yuting Cui relative to Ping‐Chieh Pao United States Ping‐Chieh Pao's profile →
Citations per field
00.5×1.5×
Ping‐Chieh Pao · 1×
Citations per year

Countries citing papers authored by Yuting Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015130
2 2019116
3 201684
4 201655
5 202350
6 201747
7 201445
8 202041
9 201539
10 202235
11 201731
12 202227
13 202324
14 201822
15 202022
16 202120
17 202218
18 202217
19 202214
20 201614

About Yuting Cui

Yuting Cui is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Cell Biology and Physiology, having authored 42 papers that have together received 961 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Receptor Mechanisms and Signaling (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Protein Degradation and Inhibitors (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Plant Disease Resistance and Genetics (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (246 citations), Neurology (82 citations), Biological Psychiatry (22 citations), Endocrine and Autonomic Systems (54 citations) and Cognitive Neuroscience (144 citations). Yuting Cui has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Msm Ip, Jcw Mak, Yingmin Liang, Tonghui Xu, Ge Song, Jae‐Ick Kim, Di Zhu, Qian Liu, Rupa R. Lalchandani and Huan Xiong. Their work appears in journals such as Plant Disease, Frontiers in Pharmacology, Nature Neuroscience, Journal of Biophotonics and European Journal of Medicinal Chemistry.

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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