Ryoong Huh

49 total papers · 974 total citations
34 papers, 735 citations indexed

About

Ryoong Huh is a scholar working on Neurology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryoong Huh has authored 34 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Neurology, 12 papers in Pathology and Forensic Medicine and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryoong Huh's work include Botulinum Toxin and Related Neurological Disorders (15 papers), Neurological disorders and treatments (11 papers) and Trigeminal Neuralgia and Treatments (9 papers). Ryoong Huh is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (15 papers), Neurological disorders and treatments (11 papers) and Trigeminal Neuralgia and Treatments (9 papers). Ryoong Huh collaborates with scholars based in South Korea and United States. Ryoong Huh's co-authors include Sang Sup Chung, Jin Woo Chang, Jina Choi, Dong-Seok Kim, In Bo Han, Inbo Han, Dong Ah Shin, Joong-Uhn Choi, Dong Ik Kim and Se Hoon Kim and has published in prestigious journals such as Neurosurgery, Neurosurgical FOCUS and Acta Neurochirurgica.

In The Last Decade

Ryoong Huh

33 papers receiving 708 citations

Author Peers

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

Author Last Decade Papers Cites
Ryoong Huh 374 244 241 152 139 34 735
J T Latack 258 0.7× 119 0.5× 235 1.0× 349 2.3× 55 0.4× 36 834
Wolf Lüdemann 320 0.9× 170 0.7× 143 0.6× 324 2.1× 68 0.5× 44 771
Andrew Yew 205 0.5× 284 1.2× 98 0.4× 316 2.1× 195 1.4× 29 770
Paul Kremer 279 0.7× 370 1.5× 75 0.3× 143 0.9× 220 1.6× 22 802
José Bebin 207 0.6× 108 0.4× 215 0.9× 234 1.5× 67 0.5× 32 774
Mitsuo Isono 272 0.7× 180 0.7× 79 0.3× 206 1.4× 51 0.4× 44 844
J. Bradley White 494 1.3× 206 0.8× 92 0.4× 169 1.1× 146 1.1× 27 857
J Berney 388 1.0× 100 0.4× 132 0.5× 247 1.6× 57 0.4× 49 760
Walter Grand 393 1.1× 151 0.6× 114 0.5× 262 1.7× 88 0.6× 39 799
M. Mohadjer 582 1.6× 287 1.2× 83 0.3× 132 0.9× 48 0.3× 37 889

Countries citing papers authored by Ryoong Huh

Since Specialization
Citations

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

Fields of papers citing papers by Ryoong Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoong Huh

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