Young‐Beom Lee

404 total citations
10 papers, 273 citations indexed

About

Young‐Beom Lee is a scholar working on Cognitive Neuroscience, Social Psychology and Behavioral Neuroscience. According to data from OpenAlex, Young‐Beom Lee has authored 10 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 3 papers in Social Psychology and 2 papers in Behavioral Neuroscience. Recurrent topics in Young‐Beom Lee's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Young‐Beom Lee is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Young‐Beom Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Young‐Beom Lee's co-authors include Yong Jeong, Eek‐Sung Lee, Kwangsun Yoo, Duk L. Na, Byung Se Choi, Jin‐Ok Lee, Ji‐Soo Kim, Jeffrey P. Staab, Bora Yoon and Sang Won Seo and has published in prestigious journals such as Nature Communications, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Young‐Beom Lee

8 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Young‐Beom Lee South Korea 6 160 94 73 55 26 10 273
Xingqi Wu China 11 157 1.0× 158 1.7× 90 1.2× 73 1.3× 4 0.2× 39 377
Ivanna M. Pavisic United Kingdom 9 80 0.5× 31 0.3× 40 0.5× 107 1.9× 6 0.2× 17 232
Ashley J. Hood United States 11 171 1.1× 53 0.6× 49 0.7× 50 0.9× 14 0.5× 12 569
Anna Isabel García-Díaz Spain 10 206 1.3× 35 0.4× 159 2.2× 66 1.2× 7 0.3× 12 514
Francesco Porrazzini Italy 6 165 1.0× 206 2.2× 33 0.5× 39 0.7× 16 0.6× 8 374
Ana Lukić United States 9 120 0.8× 59 0.6× 68 0.9× 20 0.4× 4 0.2× 24 291
Fang Zeng China 14 202 1.3× 32 0.3× 48 0.7× 165 3.0× 28 1.1× 26 587
Alessia D’Acunto Italy 8 210 1.3× 248 2.6× 35 0.5× 48 0.9× 16 0.6× 17 453
Kazunori Kawakami Japan 11 41 0.3× 68 0.7× 91 1.2× 88 1.6× 12 0.5× 26 411
Martin Ystad Norway 8 302 1.9× 39 0.4× 144 2.0× 78 1.4× 12 0.5× 10 436

Countries citing papers authored by Young‐Beom Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Beom Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Beom Lee. 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 Young‐Beom Lee. The network helps show where Young‐Beom Lee may publish in the future.

Co-authorship network of co-authors of Young‐Beom Lee

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

All Works

10 of 10 papers shown
1.
Kim, Min Seok, Young‐Beom Lee, Taewoo Kim, et al.. (2025). Hippocampal-cortical interactions in the consolidation of social memory. PubMed. 16(1). 8430–8430.
2.
Lee, Young‐Beom, et al.. (2025). Cortical representations of affective pain shape empathic fear in male mice. Nature Communications. 16(1). 1937–1937.
3.
Lee, Young‐Beom, et al.. (2023). A quantitative analysis of spontaneous alternation behaviors on a Y-maze reveals adverse effects of acute social isolation on spatial working memory. Scientific Reports. 13(1). 14722–14722. 34 indexed citations
4.
Lee, Peter, et al.. (2022). Nonuniformity of Whole-Cerebral Neural Resource Allocation, a Neuromarker of the Broad-Task Attention. eNeuro. 9(2). ENEURO.0358–21.2022. 1 indexed citations
5.
Lee, Young‐Beom, Kwangsun Yoo, Jee Hoon Roh, Won‐Jin Moon, & Yong Jeong. (2019). Brain-State Extraction Algorithm Based on the State Transition (BEST): A Dynamic Functional Brain Network Analysis in fMRI Study. Brain Topography. 32(5). 897–913. 6 indexed citations
6.
Lee, Jin‐Ok, Eek‐Sung Lee, Ji‐Soo Kim, et al.. (2018). Altered brain function in persistent postural perceptual dizziness: A study on resting state functional connectivity. Human Brain Mapping. 39(8). 3340–3353. 84 indexed citations
7.
Lee, Young‐Beom, et al.. (2017). Momentary level of slow default mode network activity is associated with distinct propagation and connectivity patterns in the anesthetized mouse cortex. Journal of Neurophysiology. 119(2). 441–458. 2 indexed citations
8.
Lee, Eek‐Sung, et al.. (2016). Default Mode Network Functional Connectivity in Early and Late Mild Cognitive Impairment. Alzheimer Disease & Associated Disorders. 30(4). 289–296. 63 indexed citations
9.
Yoo, Kwangsun, et al.. (2015). Influence of ROI selection on resting state functional connectivity: an individualized approach for resting state fMRI analysis. Frontiers in Neuroscience. 9. 280–280. 50 indexed citations
10.
Lee, Young‐Beom, Sungho Tak, Kangjoo Lee, et al.. (2015). Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis. NeuroImage. 125. 1032–1045. 33 indexed citations

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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Breakdown of academic impact, for papers by Xingqi Wu Breakdown of academic impact, for papers by Ivanna M. Pavisic Breakdown of academic impact, for papers by Ashley J. Hood Breakdown of academic impact, for papers by Anna Isabel García-Díaz Breakdown of academic impact, for papers by Francesco Porrazzini Breakdown of academic impact, for papers by Ana Lukić Breakdown of academic impact, for papers by Fang Zeng Breakdown of academic impact, for papers by Alessia D’Acunto Breakdown of academic impact, for papers by Kazunori Kawakami Breakdown of academic impact, for papers by Martin Ystad
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2026