Jin‐Hui Yoon

522 total citations · 1 hit paper
12 papers, 315 citations indexed

About

Jin‐Hui Yoon is a scholar working on Neurology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jin‐Hui Yoon has authored 12 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 2 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jin‐Hui Yoon's work include Barrier Structure and Function Studies (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Optical Coherence Tomography Applications (2 papers). Jin‐Hui Yoon is often cited by papers focused on Barrier Structure and Function Studies (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Optical Coherence Tomography Applications (2 papers). Jin‐Hui Yoon collaborates with scholars based in South Korea, United States and Germany. Jin‐Hui Yoon's co-authors include Yong Jeong, Eek‐Sung Lee, Seon Pyo Hong, Gou Young Koh, Myung Jin Yang, Ji Hoon Ahn, Young Chan Kim, Jincheol Seo, Hae Jin Kim and Michael J. Davis and has published in prestigious journals such as Nature, Scientific Reports and Small.

In The Last Decade

Jin‐Hui Yoon

12 papers receiving 313 citations

Hit Papers

Nasopharyngeal lymphatic plexus is a hub for cerebrospina... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin‐Hui Yoon South Korea 10 117 83 63 49 38 12 315
Stephanie L. Taylor Canada 8 100 0.9× 75 0.9× 28 0.4× 59 1.2× 31 0.8× 9 327
Alexander Dubrovsky Russia 10 40 0.3× 156 1.9× 60 1.0× 63 1.3× 38 1.0× 20 334
Franziska Bachhuber Germany 5 31 0.3× 57 0.7× 64 1.0× 63 1.3× 42 1.1× 13 278
Ashesh A. Thaker United States 11 66 0.6× 43 0.5× 100 1.6× 35 0.7× 82 2.2× 31 336
Carolina Gabri Nicoletti Italy 14 306 2.6× 121 1.5× 158 2.5× 90 1.8× 40 1.1× 32 638
Nick Hayward Finland 9 55 0.5× 72 0.9× 125 2.0× 74 1.5× 28 0.7× 18 338
Yves Starreveld Canada 10 32 0.3× 80 1.0× 87 1.4× 91 1.9× 50 1.3× 34 372
Sebastian Brandner Germany 11 35 0.3× 105 1.3× 155 2.5× 89 1.8× 37 1.0× 46 434
Giulia Franco Italy 12 55 0.5× 65 0.8× 158 2.5× 49 1.0× 31 0.8× 28 344

Countries citing papers authored by Jin‐Hui Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Hui Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Hui Yoon. 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 Jin‐Hui Yoon. The network helps show where Jin‐Hui Yoon may publish in the future.

Co-authorship network of co-authors of Jin‐Hui Yoon

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

All Works

12 of 12 papers shown
1.
Yoon, Jin‐Hui, Seon Pyo Hong, Myung Jin Yang, et al.. (2025). Increased CSF drainage by non-invasive manipulation of cervical lymphatics. Nature. 643(8072). 755–767. 9 indexed citations
2.
Yoon, Jin‐Hui, Hae Jin Kim, Seon Pyo Hong, et al.. (2024). Nasopharyngeal lymphatic plexus is a hub for cerebrospinal fluid drainage. Nature. 625(7996). 768–777. 87 indexed citations breakdown →
3.
Kim, Young Chan, Ji Hoon Ahn, Myung Jin Yang, et al.. (2023). Immaturity of immune cells around the dural venous sinuses contributes to viral meningoencephalitis in neonates. Science Immunology. 8(88). eadg6155–eadg6155. 20 indexed citations
4.
Yoon, Jin‐Hui, et al.. (2023). Direct Blood Cell Flow Imaging in Microvascular Networks. Small. 19(41). e2302244–e2302244. 1 indexed citations
5.
Yoon, Jin‐Hui, et al.. (2022). Increased capillary stalling is associated with endothelial glycocalyx loss in subcortical vascular dementia. Journal of Cerebral Blood Flow & Metabolism. 42(8). 1383–1397. 21 indexed citations
6.
Yoon, Jin‐Hui, Bokyung Kim, Seon Pyo Hong, et al.. (2022). Pericyte Loss Leads to Capillary Stalling Through Increased Leukocyte-Endothelial Cell Interaction in the Brain. Frontiers in Cellular Neuroscience. 16. 848764–848764. 19 indexed citations
9.
Hwang, Kyungmin, Jinhyo Ahn, Yeong‐Hyeon Seo, et al.. (2019). Lissajous Scanning Two-photon Endomicroscope for In vivo Tissue Imaging. Scientific Reports. 9(1). 3560–3560. 44 indexed citations
10.
Yoon, Jin‐Hui & Yong Jeong. (2019). In vivo imaging for neurovascular disease research. Archives of Pharmacal Research. 42(3). 263–273. 12 indexed citations
11.
Yoon, Jin‐Hui, Eek‐Sung Lee, & Yong Jeong. (2017). In vivo Imaging of the Cerebral Endothelial Glycocalyx in Mice. Journal of Vascular Research. 54(2). 59–67. 49 indexed citations
12.
Lee, Eek‐Sung, et al.. (2017). A mouse model of subcortical vascular dementia reflecting degeneration of cerebral white matter and microcirculation. Journal of Cerebral Blood Flow & Metabolism. 39(1). 44–57. 36 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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