June-Seek Choi

17 total papers · 1.0k total citations
15 papers, 745 citations indexed

About

June-Seek Choi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, June-Seek Choi has authored 15 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Cognitive Neuroscience and 9 papers in Behavioral Neuroscience. Recurrent topics in June-Seek Choi's work include Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (9 papers) and Memory and Neural Mechanisms (9 papers). June-Seek Choi is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Stress Responses and Cortisol (9 papers) and Memory and Neural Mechanisms (9 papers). June-Seek Choi collaborates with scholars based in South Korea, United States and Singapore. June-Seek Choi's co-authors include Jeansok J. Kim, Joseph E. LeDoux, Christopher K. Cain, Hongjoo J. Lee, Thomas H. Brown, Hyun Kim, Yong Sang Jo, Il Hwan Kim, Derick H. Lindquist and Hyun-Taek Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

June-Seek Choi

15 papers receiving 736 citations

Author Peers

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

Author Last Decade Papers Cites
June-Seek Choi 475 352 246 209 134 15 745
Areg Barsegyan 420 0.9× 277 0.8× 371 1.5× 250 1.2× 88 0.7× 15 783
Lindsay R. Halladay 330 0.7× 497 1.4× 234 1.0× 209 1.0× 165 1.2× 30 846
Ioannis Vlachos 609 1.3× 506 1.4× 240 1.0× 261 1.2× 141 1.1× 10 896
Raquel Vecchio Fornari 331 0.7× 365 1.0× 232 0.9× 155 0.7× 146 1.1× 25 674
Alexandra Kavushansky 301 0.6× 285 0.8× 316 1.3× 176 0.8× 152 1.1× 18 747
Roger Marek 568 1.2× 480 1.4× 204 0.8× 140 0.7× 159 1.2× 15 867
Boglárka Barsy 443 0.9× 434 1.2× 198 0.8× 222 1.1× 65 0.5× 13 846
Gemma L. Dalton 363 0.8× 429 1.2× 188 0.8× 114 0.5× 142 1.1× 10 708
Karina Genaro Borelli 400 0.8× 527 1.5× 265 1.1× 231 1.1× 119 0.9× 21 814
M.D.S. Lapiz 255 0.5× 388 1.1× 176 0.7× 149 0.7× 155 1.2× 11 660

Countries citing papers authored by June-Seek Choi

Since Specialization
Citations

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

Fields of papers citing papers by June-Seek Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June-Seek Choi. 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 June-Seek Choi. The network helps show where June-Seek Choi may publish in the future.

Co-authorship network of co-authors of June-Seek Choi

This figure shows the co-authorship network connecting the top 25 collaborators of June-Seek Choi. A scholar is included among the top collaborators of June-Seek Choi 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 June-Seek Choi. June-Seek Choi 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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