Bo‐yong Park

3.8k total citations
84 papers, 1.6k citations indexed

About

Bo‐yong Park is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Bo‐yong Park has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Cognitive Neuroscience, 35 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Psychiatry and Mental health. Recurrent topics in Bo‐yong Park's work include Functional Brain Connectivity Studies (67 papers), Advanced Neuroimaging Techniques and Applications (31 papers) and Neural dynamics and brain function (16 papers). Bo‐yong Park is often cited by papers focused on Functional Brain Connectivity Studies (67 papers), Advanced Neuroimaging Techniques and Applications (31 papers) and Neural dynamics and brain function (16 papers). Bo‐yong Park collaborates with scholars based in South Korea, Canada and United States. Bo‐yong Park's co-authors include Hyunjin Park, Mi Ji Lee, Boris C. Bernhardt, Chin‐Sang Chung, Casey Paquola, Jongbum Seo, Sofie L. Valk, Soohyun Cho, Reinder Vos de Wael and Jessica Royer and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Neuroscience.

In The Last Decade

Bo‐yong Park

80 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo‐yong Park South Korea 25 1.0k 470 300 155 149 84 1.6k
Armin de Greiff Germany 25 875 0.8× 525 1.1× 308 1.0× 164 1.1× 195 1.3× 51 2.1k
Arto C. Nirkko Switzerland 23 752 0.7× 325 0.7× 298 1.0× 141 0.9× 184 1.2× 58 1.9k
Young‐Don Son South Korea 22 553 0.5× 671 1.4× 292 1.0× 142 0.9× 180 1.2× 101 1.7k
Paulo Marques Portugal 21 1.1k 1.0× 806 1.7× 233 0.8× 121 0.8× 250 1.7× 48 2.0k
Göran Starck Sweden 19 592 0.6× 509 1.1× 275 0.9× 172 1.1× 250 1.7× 60 1.7k
Yun Jiao China 22 1.1k 1.1× 432 0.9× 276 0.9× 114 0.7× 111 0.7× 60 1.7k
Rachel A. Yotter United States 15 749 0.7× 496 1.1× 357 1.2× 151 1.0× 113 0.8× 19 1.6k
Vincent Perlbarg France 30 1.9k 1.8× 952 2.0× 320 1.1× 105 0.7× 157 1.1× 71 3.1k
Rick Hoge Canada 14 1.4k 1.3× 716 1.5× 193 0.6× 111 0.7× 293 2.0× 25 2.3k
Kay Jann United States 27 1.8k 1.8× 899 1.9× 420 1.4× 144 0.9× 172 1.2× 107 2.9k

Countries citing papers authored by Bo‐yong Park

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐yong Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo‐yong Park. 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 Bo‐yong Park. The network helps show where Bo‐yong Park may publish in the future.

Co-authorship network of co-authors of Bo‐yong Park

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

All Works

20 of 20 papers shown
1.
Park, Bo‐yong, et al.. (2025). Identification of functional dynamic brain states based on graph attention networks. NeuroImage. 311. 121185–121185. 1 indexed citations
2.
Lee, Jong‐Eun, et al.. (2024). Multimodal analysis of disease onset in Alzheimer’s disease using Connectome, Molecular, and genetics data. NeuroImage Clinical. 43. 103660–103660. 2 indexed citations
3.
Kim, Mansu, et al.. (2024). Prognostic model for predicting Alzheimer’s disease conversion using functional connectome manifolds. Alzheimer s Research & Therapy. 16(1). 217–217. 1 indexed citations
4.
Park, Shinwon, Koen V. Haak, Stuart Oldham, et al.. (2024). A shifting role of thalamocortical connectivity in the emergence of cortical functional organization. Nature Neuroscience. 27(8). 1609–1619. 18 indexed citations
5.
Larivière, Sara, Bo‐yong Park, Jessica Royer, et al.. (2024). Connectome reorganization associated with temporal lobe pathology and its surgical resection. Brain. 147(7). 2483–2495. 6 indexed citations
6.
7.
Royer, Jessica, Sara Larivière, Jong Eun Lee, et al.. (2024). Comparison of different group-level templates in gradient-based multimodal connectivity analysis. Network Neuroscience. 8(4). 1009–1031. 6 indexed citations
8.
Ottoy, Julie, Min Su Kang, Reinder Vos de Wael, et al.. (2023). Mapping the effects of functional and structural network reorganization on the tau‐cognition relationship in Alzheimer’s disease. Alzheimer s & Dementia. 19(S14).
9.
Royer, Jessica, Sara Larivière, Raúl Rodríguez‐Cruces, et al.. (2023). Cortical microstructural gradients capture memory network reorganization in temporal lobe epilepsy. Brain. 146(9). 3923–3937. 20 indexed citations
10.
Park, Hyunjin, et al.. (2023). Whole‐brain functional gradients reveal cortical and subcortical alterations in patients with episodic migraine. Human Brain Mapping. 44(6). 2224–2233. 13 indexed citations
11.
Valk, Sofie L., Philipp Kanske, Bo‐yong Park, et al.. (2023). Functional and microstructural plasticity following social and interoceptive mental training. eLife. 12. 14 indexed citations
12.
Park, Bo‐yong, et al.. (2023). Differences in structural connectome organization across sleep quality. Heliyon. 9(12). e23138–e23138. 2 indexed citations
13.
Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2022). A Riemannian approach to predicting brain function from the structural connectome. NeuroImage. 257. 119299–119299. 15 indexed citations
14.
Valk, Sofie L., Ting Xu, Casey Paquola, et al.. (2022). Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex. Nature Communications. 13(1). 2341–2341. 59 indexed citations
15.
Benkarim, Oualid, Casey Paquola, Bo‐yong Park, et al.. (2022). Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging. PLoS Biology. 20(4). e3001627–e3001627. 26 indexed citations
16.
Royer, Jessica, Raúl Rodríguez‐Cruces, Shahin Tavakol, et al.. (2022). An Open MRI Dataset For Multiscale Neuroscience. Scientific Data. 9(1). 569–569. 49 indexed citations
17.
Park, Bo‐yong, Hyunjin Park, Filip Morys, et al.. (2021). Inter-individual body mass variations relate to fractionated functional brain hierarchies. Communications Biology. 4(1). 735–735. 24 indexed citations
18.
Park, Bo‐yong, Mi Ji Lee, Chin‐Sang Chung, et al.. (2020). Whole‐brain functional connectivity correlates of obesity phenotypes. Human Brain Mapping. 41(17). 4912–4924. 25 indexed citations
19.
Kim, Mansu, et al.. (2019). Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson’s disease. PLoS ONE. 14(2). e0211699–e0211699. 9 indexed citations
20.
Kim, Se‐Hong, et al.. (2019). The effects of high‐frequency repetitive transcranial magnetic stimulation on resting‐state functional connectivity in obese adults. Diabetes Obesity and Metabolism. 21(8). 1956–1966. 25 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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