Rachel Wu

58 papers and 1.1k indexed citations i.

About

Rachel Wu is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Rachel Wu has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 26 papers in Developmental and Educational Psychology and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Rachel Wu’s work include Child and Animal Learning Development (20 papers), Face Recognition and Perception (14 papers) and Neural and Behavioral Psychology Studies (13 papers). Rachel Wu is often cited by papers focused on Child and Animal Learning Development (20 papers), Face Recognition and Perception (14 papers) and Neural and Behavioral Psychology Studies (13 papers). Rachel Wu collaborates with scholars based in United States, United Kingdom and Canada. Rachel Wu's co-authors include Natasha Z. Kirkham, Tim J. Smith, Martin Eimer, Daniel C. Richardson, Kristen Tummeltshammer, Alison Gopnik, Frederick T. Murphy, H. Ralph Schumacher, John S. Sundy and Robert Terkeltaub and has published in prestigious journals such as JAMA, PLoS ONE and Child Development.

In The Last Decade

Co-authorship network of co-authors of Rachel Wu i

Fields of papers citing papers by Rachel Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rachel Wu

Since Specialization
Citations

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

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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