Soyun Kim

85 total papers · 1.1k total citations
44 papers, 756 citations indexed

About

Soyun Kim is a scholar working on Social Psychology, Neurology and Molecular Biology. According to data from OpenAlex, Soyun Kim has authored 44 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 8 papers in Neurology and 6 papers in Molecular Biology. Recurrent topics in Soyun Kim's work include Safety Warnings and Signage (8 papers), Autoimmune Neurological Disorders and Treatments (5 papers) and Human-Automation Interaction and Safety (5 papers). Soyun Kim is often cited by papers focused on Safety Warnings and Signage (8 papers), Autoimmune Neurological Disorders and Treatments (5 papers) and Human-Automation Interaction and Safety (5 papers). Soyun Kim collaborates with scholars based in South Korea, United States and Puerto Rico. Soyun Kim's co-authors include Kon Chu, Soon‐Tae Lee, Sang Kun Lee, Keun‐Hwa Jung, Jangsup Moon, Michael S. Wogalter, Kyung‐Il Park, Yong‐Won Shin, Manho Kim and Jung‐Ick Byun and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Annals of Neurology.

In The Last Decade

Soyun Kim

39 papers receiving 730 citations

Author Peers

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

Author Last Decade Papers Cites
Soyun Kim 333 108 102 88 62 44 756
S. J. H. Miller 125 0.4× 62 0.6× 58 0.6× 11 0.1× 73 1.2× 53 809
Pietro Cecconi 127 0.4× 44 0.4× 92 0.9× 17 0.2× 7 0.1× 45 649
Claudia Kaiser 37 0.1× 106 1.0× 88 0.9× 41 0.5× 10 0.2× 32 901
David Fleischman 185 0.6× 49 0.5× 34 0.3× 16 0.2× 66 1.1× 68 739
Martin Becker 12 0.0× 170 1.6× 39 0.4× 127 1.4× 14 0.2× 15 822
David E. Kurlander 34 0.1× 18 0.2× 105 1.0× 27 0.3× 24 0.4× 39 812
Mary Joy Encarnacion 483 1.5× 188 1.7× 55 0.5× 38 0.4× 2 0.0× 30 797
C. Elizabeth Boudreau 23 0.1× 68 0.6× 42 0.4× 79 0.9× 17 0.3× 26 884
Catherine Earl 197 0.6× 50 0.5× 61 0.6× 12 0.1× 7 0.1× 49 906
Ken Matsuda 213 0.6× 104 1.0× 70 0.7× 16 0.2× 16 0.3× 81 885

Countries citing papers authored by Soyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Soyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soyun Kim

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