Sukyung Chung

139 total papers · 2.9k total citations
96 papers, 1.8k citations indexed

About

Sukyung Chung is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Sukyung Chung has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in General Health Professions, 26 papers in Economics and Econometrics and 13 papers in Epidemiology. Recurrent topics in Sukyung Chung's work include Patient Satisfaction in Healthcare (18 papers), Healthcare Policy and Management (17 papers) and Primary Care and Health Outcomes (14 papers). Sukyung Chung is often cited by papers focused on Patient Satisfaction in Healthcare (18 papers), Healthcare Policy and Management (17 papers) and Primary Care and Health Outcomes (14 papers). Sukyung Chung collaborates with scholars based in United States, United Kingdom and Canada. Sukyung Chung's co-authors include Latha Palaniappan, Marisa Elena Domino, Harold S. Luft, Barry M. Popkin, Sally C. Stearns, Ahmed Khwaja, Frank A. Sloan, Beinan Zhao, Jia Pu and Fátima Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Sukyung Chung

91 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Sukyung Chung 667 297 241 231 178 96 1.8k
Mary E. Slaughter 472 0.7× 317 1.1× 244 1.0× 212 0.9× 190 1.1× 61 2.2k
Peter J. Veazie 537 0.8× 267 0.9× 222 0.9× 210 0.9× 117 0.7× 77 1.9k
Loai Albarqouni 868 1.3× 506 1.7× 279 1.2× 195 0.8× 144 0.8× 79 2.2k
Dale Bramley 863 1.3× 319 1.1× 226 0.9× 338 1.5× 134 0.8× 61 2.1k
Maureen Smith 674 1.0× 245 0.8× 238 1.0× 127 0.5× 155 0.9× 61 1.8k
Elizabeth A. Schlenk 487 0.7× 233 0.8× 122 0.5× 148 0.6× 134 0.8× 76 1.9k
Garth Graham 522 0.8× 317 1.1× 200 0.8× 528 2.3× 198 1.1× 64 1.8k
M Pringle 645 1.0× 299 1.0× 194 0.8× 230 1.0× 94 0.5× 60 1.8k
Mohsen Asadi‐Lari 598 0.9× 439 1.5× 221 0.9× 117 0.5× 103 0.6× 96 2.0k
Paul Roderick 463 0.7× 344 1.2× 217 0.9× 298 1.3× 258 1.4× 53 2.2k

Countries citing papers authored by Sukyung Chung

Since Specialization
Citations

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

Fields of papers citing papers by Sukyung Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukyung Chung

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