Gui-Qiu Yu

5.0k citations
10 papers · 3.7k indexed · 2 hit papers · h-index 10
Topics
Alzheimer's disease research and treatments (9 papers)Cholinesterase and Neurodegenerative Diseases (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
Partner nations
United States

In The Last Decade

Gui-Qiu Yu

10 papers receiving 3.7k citations

Hit Papers

Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Def...19992026200820172007199950010001.5k

Peers

Gui-Qiu Yu
Comparison fields: 5 of 102
  • Physiology 2.9k
  • Cellular and Molecular Neuroscience 1.5k
  • Molecular Biology 1.2k
  • Pharmacology 797
  • Neurology 666
Replace Matthew Townsend with:
Matthew Townsend United States
Kang Hu United States
Thierry Bussière United States
Leigh A. Holcomb United States
Dora Kholodenko United States
Yazi D. Ke Australia
Cláudia G. Almeida Portugal
Tiffany Wu United States
Christine Stürchler-Pierrat Switzerland
Agostino Palmeri Italy
Gui-Qiu Yu relative to Matthew Townsend United States Matthew Townsend's profile →
Citations per field
00.5×1.5×
Matthew Townsend · 1×
Citations per year

Countries citing papers authored by Gui-Qiu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Gui-Qiu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui-Qiu Yu. 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 Gui-Qiu Yu. The network helps show where Gui-Qiu Yu may publish in the future.

Co-authorship network of co-authors of Gui-Qiu Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Gui-Qiu Yu. A scholar is included among the top collaborators of Gui-Qiu Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gui-Qiu Yu. Gui-Qiu Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 27
2 146
3 128
4 104
5 68
6 289
7
Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Modelbreakdown →
1505
8 331
9 186
10
Plaque-independent disruption of neural circuits in Alzheimer’s disease mouse modelsbreakdown →
927

About Gui-Qiu Yu

Gui-Qiu Yu is a scholar working on Biological Psychiatry, Physiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 3.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Cholinesterase and Neurodegenerative Diseases (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Physiology (2.9k citations), Cellular and Molecular Neuroscience (1.5k citations) and Neurology (666 citations). Gui-Qiu Yu has collaborated with scholars based in United States. Frequent co-authors include Lennart Mucke, Jorge J. Palop, Kimberly Scearce‐Levie, Irene H. Cheng, Erik D. Roberson, Tiffany Wu, Fengrong Yan, Hertzel C. Gerstein, Eliezer Masliah and Dora Kholodenko. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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