Irene Liu

800 total citations
17 papers, 534 citations indexed

About

Irene Liu is a scholar working on Automotive Engineering, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Irene Liu has authored 17 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Cognitive Neuroscience and 3 papers in Developmental and Educational Psychology. Recurrent topics in Irene Liu's work include Spatial Cognition and Navigation (5 papers), Memory and Neural Mechanisms (3 papers) and Child and Animal Learning Development (2 papers). Irene Liu is often cited by papers focused on Spatial Cognition and Navigation (5 papers), Memory and Neural Mechanisms (3 papers) and Child and Animal Learning Development (2 papers). Irene Liu collaborates with scholars based in Canada, United States and Taiwan. Irene Liu's co-authors include Giuseppe Iaria, Richard Levy, Jason J.S. Barton, Kamyar Keramatian, Matthew L. Dixon, Kalina Christoff, Shideng Bao, Robert T. Abraham, Ambereen Ali and Ji Zhang and has published in prestigious journals such as Genes & Development, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Irene Liu

16 papers receiving 526 citations

Peers

Irene Liu
Comparison fields: 5 of 108
  • Cognitive Neuroscience 202
  • Automotive Engineering 141
  • Molecular Biology 125
  • Experimental and Cognitive Psychology 66
  • Oncology 61
Replace Masumi Shimada with:
Masumi Shimada Japan
Juan Cordero United States
Linda Lanyon United Kingdom
R. R. Greb Germany
Andrea Maialetti Italy
Page Widick United States
Kristina A. Neely United States
Stephen D. Auger United Kingdom
Álvaro Javier Cruz-Gómez Spain
Takatsune Kumada Japan
Masumi Shimada Japan View profile →
Citations per field, relative to Irene Liu
Irene Liu · 1×
Citations per year, relative to Irene Liu
Irene Liu · 1×

Countries citing papers authored by Irene Liu

Since Specialization
Citations

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

Fields of papers citing papers by Irene Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irene Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Liu. A scholar is included among the top collaborators of Irene Liu 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 Irene Liu. Irene Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 8
2 0
3 14
4 1
5 15
6 8
7 18
8 3
9 37
10 50
11 9
12 32
13 41
14 76
15 89
16 4
17 129

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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