Uicheul Yoon
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Functional Brain Connectivity Studies 21
- Autism Spectrum Disorder Research 6
- Neurology 19
- Parkinson's Disease Mechanisms and Treatments 9
- Neurological disorders and treatments 8
- Co-authors
- Alan C. EvansDaniel PérusseKiho ImIn Young KimSun I. KimJun Soo KwonJong‐Min LeeYong‐Wook Shin
- Journals
- NeuroImage (5 papers)Scientific Reports (4 papers)Human Brain Mapping (3 papers)Journal of the Neurological Sciences (3 papers)Radiology (2 papers)
- Partner nations
- South KoreaCanadaUnited States
In The Last Decade
Uicheul Yoon
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 842
- Neurology 278
- Radiology, Nuclear Medicine and Imaging 662
- Psychiatry and Mental health 410
- Neurology 327
Countries citing papers authored by Uicheul Yoon
This map shows the geographic impact of Uicheul 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 Uicheul Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uicheul Yoon more than expected).
Fields of papers citing papers by Uicheul Yoon
This network shows the impact of papers produced by Uicheul 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 Uicheul Yoon. The network helps show where Uicheul Yoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Uicheul Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 27 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 13 | |
| 6 | 2019 | 35 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 20 | |
| 9 | 2018 | 4 | |
| 10 | 2015 | 23 | |
| 11 | 2015 | 5 | |
| 12 | 2014 | 32 | |
| 13 | 2012 | 20 | |
| 14 | Prediction of Human Intelligence using Morphometric Characteristics of Cerebral Cortex | 2011 | 1 |
| 15 | 2011 | 71 | |
| 16 | 2011 | 20 | |
| 17 | 2009 | 73 | |
| 18 | 2006 | 5 | |
| 19 | 2004 | 44 | |
| 20 | 2003 | 58 |
About Uicheul Yoon
Uicheul Yoon is a scholar working on Cognitive Neuroscience, Neurology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (25 papers), Functional Brain Connectivity Studies (21 papers), Cerebrospinal fluid and hydrocephalus (12 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological disorders and treatments (8 papers), Medical Image Segmentation Techniques (7 papers), Dementia and Cognitive Impairment Research (6 papers) and Autism Spectrum Disorder Research (6 papers). The work is most often cited by research in Cognitive Neuroscience (842 citations), Neurology (278 citations), Radiology, Nuclear Medicine and Imaging (662 citations), Psychiatry and Mental health (410 citations) and Neurology (327 citations). Uicheul Yoon has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Alan C. Evans, Daniel Pérusse, Kiho Im, In Young Kim, Sun I. Kim, Jun Soo Kwon, Jong‐Min Lee, Yong‐Wook Shin, Chérine Fahim and Duk L. Na. Their work appears in journals such as NeuroImage, Scientific Reports, Human Brain Mapping, Journal of the Neurological Sciences and Radiology.
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.