Hye Jin Yoon

73 total papers · 1.3k total citations
56 papers, 914 citations indexed

About

Hye Jin Yoon is a scholar working on Marketing, Sociology and Political Science and Literature and Literary Theory. According to data from OpenAlex, Hye Jin Yoon has authored 56 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Marketing, 26 papers in Sociology and Political Science and 21 papers in Literature and Literary Theory. Recurrent topics in Hye Jin Yoon's work include Consumer Behavior in Brand Consumption and Identification (26 papers), Media Influence and Health (21 papers) and Digital Marketing and Social Media (18 papers). Hye Jin Yoon is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (26 papers), Media Influence and Health (21 papers) and Digital Marketing and Social Media (18 papers). Hye Jin Yoon collaborates with scholars based in United States, South Korea and Croatia. Hye Jin Yoon's co-authors include Spencer F. Tinkham, Nicole H. O’Donnell, Yoon-Joo Lee, Carrie La Ferle, Jooyoung Kim, Yan Huang, Jeong Yeob Han, Mina Lee, Sun Young Lee and Jung-Hyun Kim and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Journal of Advertising.

In The Last Decade

Hye Jin Yoon

52 papers receiving 879 citations

Author Peers

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

Author						Papers	Cites
Hye Jin Yoon	470	455	220	171	149	56	914
Joyce M. Wolburg	365 0.8×	342 0.8×	120 0.5×	121 0.7×	112 0.8×	41	900
Andrea Groeppel‐Klein	448 1.0×	415 0.9×	143 0.7×	106 0.6×	120 0.8×	39	938
Veronica L. Thomas	514 1.1×	628 1.4×	115 0.5×	175 1.0×	115 0.8×	50	969
Jasmina Ilicic	738 1.6×	728 1.6×	133 0.6×	148 0.9×	184 1.2×	49	1.1k
James M. Munch	506 1.1×	384 0.8×	174 0.8×	169 1.0×	98 0.7×	26	850
Eric Haley	580 1.2×	482 1.1×	112 0.5×	83 0.5×	104 0.7×	55	1.1k
Ekant Veer	279 0.6×	405 0.9×	115 0.5×	80 0.5×	105 0.7×	44	919
Dae Hee Kwak	470 1.0×	633 1.4×	118 0.5×	100 0.6×	379 2.5×	52	1.0k
Harlan E. Spotts	472 1.0×	257 0.6×	203 0.9×	81 0.5×	203 1.4×	40	919
Clinton S. Weeks	531 1.1×	484 1.1×	122 0.6×	88 0.5×	243 1.6×	28	925

Countries citing papers authored by Hye Jin Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Hye Jin Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hye Jin Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Hye Jin Yoon. A scholar is included among the top collaborators of Hye Jin 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 Hye Jin Yoon. Hye Jin 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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