Youngheun Jo

932 total citations
10 papers, 437 citations indexed

About

Youngheun Jo is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Youngheun Jo has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Youngheun Jo's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (8 papers) and Advanced MRI Techniques and Applications (3 papers). Youngheun Jo is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (8 papers) and Advanced MRI Techniques and Applications (3 papers). Youngheun Jo collaborates with scholars based in United States, South Korea and Italy. Youngheun Jo's co-authors include Joshua Faskowitz, Farnaz Zamani Esfahlani, Richard F. Betzel, Olaf Sporns, Daniel P. Kennedy, Lisa Byrge, Woo Hyun Shim, Tae‐Sung Ko, Mi‐Sun Yum and Jin Seong Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and NeuroImage.

In The Last Decade

Youngheun Jo

10 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Youngheun Jo 392 152 88 28 22 10 437
Daniel J. Lurie 447 1.1× 101 0.7× 107 1.2× 57 2.0× 27 1.2× 12 545
Anira Escrichs 243 0.6× 61 0.4× 43 0.5× 31 1.1× 17 0.8× 27 353
Joeran Lepsien 494 1.3× 162 1.1× 110 1.3× 22 0.8× 30 1.4× 5 608
Vasso Tsirka 482 1.2× 73 0.5× 76 0.9× 22 0.8× 22 1.0× 8 524
Michael M Craig 352 0.9× 75 0.5× 40 0.5× 53 1.9× 32 1.5× 15 481
Onerva Korhonen 509 1.3× 91 0.6× 73 0.8× 49 1.8× 28 1.3× 8 562
Michel R.T. Sinke 160 0.4× 125 0.8× 27 0.3× 30 1.1× 21 1.0× 14 319
James C. Pang 280 0.7× 116 0.8× 25 0.3× 34 1.2× 27 1.2× 26 357
P. Hagmann 470 1.2× 195 1.3× 36 0.4× 58 2.1× 28 1.3× 8 512
Morten Joensson 356 0.9× 75 0.5× 62 0.7× 47 1.7× 7 0.3× 10 454

Countries citing papers authored by Youngheun Jo

Since Specialization
Citations

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

Fields of papers citing papers by Youngheun Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngheun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Youngheun Jo. A scholar is included among the top collaborators of Youngheun Jo 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 Youngheun Jo. Youngheun Jo 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.
Jo, Youngheun, Farnaz Zamani Esfahlani, Joshua Faskowitz, et al.. (2024). Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains. Communications Biology. 7(1). 126–126. 6 indexed citations
2.
Faskowitz, Joshua, et al.. (2022). Cortico-subcortical interactions in overlapping communities of edge functional connectivity. NeuroImage. 250. 118971–118971. 18 indexed citations
3.
Kwon, Miseon, et al.. (2022). Pure Prosodic Type of Primary Progressive Apraxia of Speech Mimicking Nonfluent Aphasia and Later Progressing to Corticobasal Syndrome. Alzheimer Disease & Associated Disorders. 36(4). 365–367. 3 indexed citations
4.
Esfahlani, Farnaz Zamani, et al.. (2021). Modularity maximization as a flexible and generic framework for brain network exploratory analysis. IRIS Research product catalog (Sapienza University of Rome). 28 indexed citations
5.
Jo, Youngheun, et al.. (2021). The diversity and multiplexity of edge communities within and between brain systems. Cell Reports. 37(7). 110032–110032. 29 indexed citations
6.
Jo, Youngheun, Joshua Faskowitz, Farnaz Zamani Esfahlani, Olaf Sporns, & Richard F. Betzel. (2021). Subject identification using edge-centric functional connectivity. NeuroImage. 238. 118204–118204. 25 indexed citations
7.
Yoon, Hee Mang, Youngheun Jo, Woo Hyun Shim, et al.. (2020). Disrupted Functional and Structural Connectivity in Angelman Syndrome. American Journal of Neuroradiology. 41(5). 889–897. 14 indexed citations
8.
Kim, Min‐Jee, Mi‐Sun Yum, Youngheun Jo, et al.. (2020). Delayed Functional Networks Development and Altered Fast Oscillation Dynamics in a Rat Model of Cortical Malformation. Frontiers in Neuroscience. 14. 711–711. 3 indexed citations
9.
Faskowitz, Joshua, Farnaz Zamani Esfahlani, Youngheun Jo, Olaf Sporns, & Richard F. Betzel. (2020). Edge-centric functional network representations of human cerebral cortex reveal overlapping system-level architecture. Nature Neuroscience. 23(12). 1644–1654. 164 indexed citations
10.
Esfahlani, Farnaz Zamani, Youngheun Jo, Joshua Faskowitz, et al.. (2020). High-amplitude cofluctuations in cortical activity drive functional connectivity. Proceedings of the National Academy of Sciences. 117(45). 28393–28401. 147 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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