Christina Sue‐Chan

About

Christina Sue‐Chan is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management and Experimental and Cognitive Psychology. According to data from OpenAlex, Christina Sue‐Chan has authored 26 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 10 papers in Organizational Behavior and Human Resource Management and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Christina Sue‐Chan’s work include Job Satisfaction and Organizational Behavior (9 papers), Motivation and Self-Concept in Sports (7 papers) and Creativity in Education and Neuroscience (5 papers). Christina Sue‐Chan is often cited by papers focused on Job Satisfaction and Organizational Behavior (9 papers), Motivation and Self-Concept in Sports (7 papers) and Creativity in Education and Neuroscience (5 papers). Christina Sue‐Chan collaborates with scholars based in Hong Kong, Canada and Australia. Christina Sue‐Chan's co-authors include Gary P. Latham, Leisa D. Sargent, Paul S. Hempel, Robert E. Wood, Ziguang Chen, Stan Xiao Li, Youmin Xi, Wing Lam, Rick D. Hackett and Al K. C. Au and has published in prestigious journals such as Journal of Management, Developmental Psychology and Journal of Organizational Behavior.

In The Last Decade

Co-authorship network of co-authors of Christina Sue‐Chan i

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Fields of papers citing papers by Christina Sue‐Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Sue‐Chan. 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 Christina Sue‐Chan. The network helps show where Christina Sue‐Chan may publish in the future.

Countries citing papers authored by Christina Sue‐Chan

Since Specialization

Citations

This map shows the geographic impact of Christina Sue‐Chan'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 Christina Sue‐Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Sue‐Chan 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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