Su‐Hyun Han

87 total papers · 1.1k total citations
59 papers, 778 citations indexed

About

Su‐Hyun Han is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Su‐Hyun Han has authored 59 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Psychiatry and Mental health, 15 papers in Cognitive Neuroscience and 14 papers in Physiology. Recurrent topics in Su‐Hyun Han's work include Epilepsy research and treatment (16 papers), Pharmacological Effects and Toxicity Studies (13 papers) and Obstructive Sleep Apnea Research (11 papers). Su‐Hyun Han is often cited by papers focused on Epilepsy research and treatment (16 papers), Pharmacological Effects and Toxicity Studies (13 papers) and Obstructive Sleep Apnea Research (11 papers). Su‐Hyun Han collaborates with scholars based in South Korea, Ethiopia and Japan. Su‐Hyun Han's co-authors include Sang‐Ahm Lee, Young Chul Youn, SangYun Kim, Ko Woon Kim, Jeong‐Min Kim, Han Uk Ryu, Kwang‐Yeol Park, Hae‐Won Shin, Nam‐Chon Paek and Gynheung An and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Su‐Hyun Han

53 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Su‐Hyun Han 161 161 158 138 110 59 778
Gábor Rudas 71 0.4× 121 0.8× 224 1.4× 49 0.4× 108 1.0× 57 776
İ̇brahim Öztura 57 0.4× 133 0.8× 213 1.3× 279 2.0× 46 0.4× 53 683
Yong Seo Koo 173 1.1× 183 1.1× 251 1.6× 104 0.8× 183 1.7× 90 859
Tomor Harnod 72 0.4× 230 1.4× 119 0.8× 53 0.4× 74 0.7× 71 797
Hyun Jin Noh 84 0.5× 71 0.4× 241 1.5× 43 0.3× 87 0.8× 44 697
Lauren E. Salminen 67 0.4× 129 0.8× 151 1.0× 85 0.6× 49 0.4× 37 643
Martín Nogués 69 0.4× 86 0.5× 95 0.6× 83 0.6× 246 2.2× 57 840
Filippo Donati 79 0.5× 340 2.1× 180 1.1× 40 0.3× 99 0.9× 40 700
G. Brown 145 0.9× 51 0.3× 197 1.2× 38 0.3× 86 0.8× 37 780
Danielle A. Becker 56 0.3× 331 2.1× 257 1.6× 90 0.7× 139 1.3× 55 872

Countries citing papers authored by Su‐Hyun Han

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Hyun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su‐Hyun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Hyun Han. A scholar is included among the top collaborators of Su‐Hyun Han 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 Su‐Hyun Han. Su‐Hyun Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026