KangHyun Shin

About

KangHyun Shin is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Sociology and Political Science. According to data from OpenAlex, KangHyun Shin has authored 49 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Organizational Behavior and Human Resource Management, 21 papers in Social Psychology and 18 papers in Sociology and Political Science. Recurrent topics in KangHyun Shin’s work include Job Satisfaction and Organizational Behavior (28 papers), Emotional Labor in Professions (12 papers) and Healthcare Education and Workforce Issues (10 papers). KangHyun Shin is often cited by papers focused on Job Satisfaction and Organizational Behavior (28 papers), Emotional Labor in Professions (12 papers) and Healthcare Education and Workforce Issues (10 papers). KangHyun Shin collaborates with scholars based in South Korea, United States and Canada. KangHyun Shin's co-authors include Kibeom Lee, Michael C. Ashton, Jong‐Hyun Lee, In‐Sue Oh, Joshua S. Bourdage, Russell P. Guay, Kwanghyun Kim, Crystal M. Harold, Stephen L. Benton and Sherry A. Benton and has published in prestigious journals such as Personnel Psychology, Journal of Research in Personality and Applied Psychology.

In The Last Decade

Co-authorship network of co-authors of KangHyun Shin i

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Fields of papers citing papers by KangHyun Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by KangHyun Shin

Since Specialization

Citations

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