David J. Yoon

19 total papers · 405 total citations
14 papers, 250 citations indexed

About

David J. Yoon is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, David J. Yoon has authored 14 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Social Psychology, 8 papers in Organizational Behavior and Human Resource Management and 5 papers in Sociology and Political Science. Recurrent topics in David J. Yoon's work include Job Satisfaction and Organizational Behavior (8 papers), Customer Service Quality and Loyalty (3 papers) and Emotions and Moral Behavior (3 papers). David J. Yoon is often cited by papers focused on Job Satisfaction and Organizational Behavior (8 papers), Customer Service Quality and Loyalty (3 papers) and Emotions and Moral Behavior (3 papers). David J. Yoon collaborates with scholars based in United States, South Korea and France. David J. Yoon's co-authors include Joyce E. Bono, Eugene Kim, Amy C. Hooper, Mahn Hee Yoon, Yongjun Choi, Steven M. Farmer, Cindy P. Muir, Michelle K. Duffy, Tao Yang and Theresa M. Glomb and has published in prestigious journals such as Journal of Applied Psychology, Journal of Organizational Behavior and Personality and Individual Differences.

In The Last Decade

David J. Yoon

14 papers receiving 230 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David J. Yoon	161	93	90	40	30	14	250
Erhua Zhou	166 1.0×	120 1.3×	99 1.1×	28 0.7×	26 0.9×	19	292
Rehan Ahmad	120 0.7×	89 1.0×	66 0.7×	33 0.8×	51 1.7×	14	289
Phillip S. Thompson	188 1.2×	84 0.9×	80 0.9×	42 1.1×	19 0.6×	10	287
Yongyi Liang	139 0.9×	76 0.8×	85 0.9×	24 0.6×	26 0.9×	21	300
Mark D. Promislo	142 0.9×	72 0.8×	98 1.1×	46 1.1×	30 1.0×	14	323
Shuxia Zhang	167 1.0×	80 0.9×	101 1.1×	42 1.1×	15 0.5×	15	307
Hudson Sessions	190 1.2×	141 1.5×	118 1.3×	34 0.8×	24 0.8×	17	331
Regina Taylor	200 1.2×	104 1.1×	70 0.8×	32 0.8×	19 0.6×	18	309
Kathryn J. L. Jacobson	132 0.8×	143 1.5×	95 1.1×	21 0.5×	33 1.1×	15	303
Fan Zhou	84 0.5×	66 0.7×	99 1.1×	45 1.1×	13 0.4×	12	246

Countries citing papers authored by David J. Yoon

Since Specialization

Citations

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

Fields of papers citing papers by David J. Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Yoon. 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 David J. Yoon. The network helps show where David J. Yoon may publish in the future.

Co-authorship network of co-authors of David J. Yoon

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

All Works

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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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