Chiayu Q. Chiu

3.3k citations
29 papers · 2.5k indexed · 1 hit paper · h-index 16

Chiayu Q. Chiu

27 papers receiving 2.4k citations

Hit Papers

Implicit Memory: A Selective Review5071993202620042015100200300400500

Peers

Chiayu Q. Chiu
Comparison fields: 5 of 139
  • Cellular and Molecular Neuroscience 1.4k
  • Cognitive Neuroscience 1.3k
  • Sensory Systems 147
  • Pharmacology 302
  • Biological Psychiatry 42
Replace Daoyun Ji with:
Daoyun Ji United States
Jürgen Gallinat Germany
Corinna Haenschel United Kingdom
Adriana Galván United States
Oscar S. Gershanik Argentina
Jonathon D. Crystal United States
Takafumi Minamimoto Japan
Carien S. Lansink Netherlands
Christine Ryan United States
Aaron J. Gruber Canada
Chiayu Q. Chiu relative to Daoyun Ji United States Daoyun Ji's profile →
Citations per field
00.5×1.5×2.1×
Daoyun Ji · 1×
Citations per year

Countries citing papers authored by Chiayu Q. Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Chiayu Q. Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiayu Q. Chiu. 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 Chiayu Q. Chiu. The network helps show where Chiayu Q. Chiu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202410
3 20244
4 20232
5 20231
6 20231
7 202215
8 202215
9 20207
10 20205
11 20198
12 2019101
13 201899
14 2011177
15 2010276
16 200876
17 2004312
18 20045
19 200241
20
Implicit Memory: A Selective Reviewbreakdown →
1993507

About Chiayu Q. Chiu

Chiayu Q. Chiu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neural dynamics and brain function (9 papers), Photoreceptor and optogenetics research (6 papers), Cannabis and Cannabinoid Research (3 papers), Visual perception and processing mechanisms (2 papers), Cellular transport and secretion (2 papers), Ion Channels and Receptors (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Cognitive Neuroscience (1.3k citations) and Sensory Systems (147 citations). Chiayu Q. Chiu has collaborated with scholars based in United States, Chile and France. Frequent co-authors include Pablo E. Castillo, Michael Weliky, Daniel L. Schacter, Kevin N. Ochsner, Michael J. Higley, József Fiser, Andrés E. Chávez, Graham C. R. Ellis‐Davies, Reed C. Carroll and György Lür. 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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