Sookyung Hyun

54 total papers · 1.2k total citations
38 papers, 872 citations indexed

About

Sookyung Hyun is a scholar working on Health Information Management, Issues, ethics and legal aspects and Molecular Biology. According to data from OpenAlex, Sookyung Hyun has authored 38 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Health Information Management, 14 papers in Issues, ethics and legal aspects and 9 papers in Molecular Biology. Recurrent topics in Sookyung Hyun's work include Electronic Health Records Systems (18 papers), Nursing Diagnosis and Documentation (14 papers) and Biomedical Text Mining and Ontologies (9 papers). Sookyung Hyun is often cited by papers focused on Electronic Health Records Systems (18 papers), Nursing Diagnosis and Documentation (14 papers) and Biomedical Text Mining and Ontologies (9 papers). Sookyung Hyun collaborates with scholars based in United States, South Korea and Thailand. Sookyung Hyun's co-authors include Suzanne Bakken, Stephen B. Johnson, Pacharmon Kaewprag, Susan D. Moffatt‐Bruce, Cheryl Newton, Elizabeth R. Lenz, Peter D. Stetson, Xiaowen Li, Patricia W. Stone and Chad A. Newton and has published in prestigious journals such as Journal of the American Medical Informatics Association, Computer Methods and Programs in Biomedicine and International Journal of Medical Informatics.

In The Last Decade

Sookyung Hyun

38 papers receiving 830 citations

Author Peers

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

Author Last Decade Papers Cites
Sookyung Hyun 256 237 180 168 150 38 872
Mollie Cummins 104 0.4× 312 1.3× 109 0.6× 26 0.2× 42 0.3× 64 741
Ting‐Ting Lee 243 0.9× 23 0.1× 278 1.5× 174 1.0× 47 0.3× 46 806
Hughes Rg 111 0.4× 49 0.2× 330 1.8× 43 0.3× 13 0.1× 46 987
Ahmad Tubaishat 144 0.6× 297 1.3× 236 1.3× 71 0.4× 3 0.0× 40 1.0k
Ruslana Tsurikova 349 1.4× 13 0.1× 247 1.4× 43 0.3× 86 0.6× 19 820
Koren Hyogene Kwag 276 1.1× 9 0.0× 278 1.5× 27 0.2× 52 0.3× 17 946
Sam Heard 242 0.9× 11 0.0× 209 1.2× 24 0.1× 190 1.3× 25 735
Patricia Abbott 323 1.3× 8 0.0× 272 1.5× 59 0.4× 56 0.4× 46 793
Yang Gong 338 1.3× 8 0.0× 255 1.4× 41 0.2× 74 0.5× 132 967
John Welton 171 0.7× 21 0.1× 534 3.0× 302 1.8× 15 0.1× 62 1.0k

Countries citing papers authored by Sookyung Hyun

Since Specialization
Citations

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

Fields of papers citing papers by Sookyung Hyun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sookyung Hyun

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