Chung K. Kim

21 total papers · 1.9k total citations
17 papers, 1.3k citations indexed

About

Chung K. Kim is a scholar working on Sociology and Political Science, Marketing and Molecular Biology. According to data from OpenAlex, Chung K. Kim has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 4 papers in Marketing and 3 papers in Molecular Biology. Recurrent topics in Chung K. Kim's work include Digital Marketing and Social Media (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Customer Service Quality and Loyalty (3 papers). Chung K. Kim is often cited by papers focused on Digital Marketing and Social Media (6 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Customer Service Quality and Loyalty (3 papers). Chung K. Kim collaborates with scholars based in United States, South Korea and Canada. Chung K. Kim's co-authors include Kurt Benirschke, Dongchul Han, Seung‐Bae Park, Anne M. Lavack, Kurt Benirschke, Jong Min Kim, Donald V. Moser, John H. Evans, Samuel S.C. Yen and Kenneth R. Lord and has published in prestigious journals such as New England Journal of Medicine, Journal of Business Research and American Journal of Obstetrics and Gynecology.

In The Last Decade

Chung K. Kim

17 papers receiving 1.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Chung K. Kim	580	463	460	280	184	17	1.3k
Danni Zheng	225 0.4×	761 1.6×	72 0.2×	163 0.6×	44 0.2×	50	1.3k
Kimberly A. Taylor	632 1.1×	368 0.8×	27 0.1×	352 1.3×	20 0.1×	31	1.3k
Tove I. Dahl	222 0.4×	377 0.8×	29 0.1×	168 0.6×	10 0.1×	29	1.3k
Mark Tomlinson	39 0.1×	244 0.5×	443 1.0×	24 0.1×	38 0.2×	29	1.1k
Caitlin Knowles Myers	30 0.1×	346 0.7×	175 0.4×	27 0.1×	54 0.3×	35	1.1k
Vicky Singleton	28 0.0×	492 1.1×	70 0.2×	181 0.6×	84 0.5×	25	1.4k
Stephen Zavestoski	201 0.3×	586 1.3×	20 0.0×	135 0.5×	6 0.0×	30	1.6k
Pat H. Dickson	87 0.1×	172 0.4×	17 0.0×	605 2.2×	43 0.2×	26	1.8k
Laura Bradley	63 0.1×	221 0.5×	78 0.2×	82 0.3×	8 0.0×	48	1.2k
Linda A. Sullivan	104 0.2×	634 1.4×	34 0.1×	90 0.3×	6 0.0×	26	1.5k

Countries citing papers authored by Chung K. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Chung K. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung K. Kim. 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 Chung K. Kim. The network helps show where Chung K. Kim may publish in the future.

Co-authorship network of co-authors of Chung K. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Chung K. Kim. A scholar is included among the top collaborators of Chung K. Kim 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 Chung K. Kim. Chung K. Kim 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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