Kiho Im
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 19
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research 13
-
- Advanced Neuroimaging Techniques and Applications 33
- Neurology top 5%
-
- Fetal and Pediatric Neurological Disorders 27
- Neonatal and fetal brain pathology 24
- Prenatal Screening and Diagnostics 6
-
- Domain Adaptation and Few-Shot Learning 6
-
- Congenital Heart Disease Studies 6
- Co-authors
- P. Ellen GrantSun I. KimSang Won SeoJong Min LeeAlan C. EvansUicheul YoonSung Tae KimDuk L. Na
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Kiho Im
72 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 1.2k
- Psychiatry and Mental health 780
- Radiology, Nuclear Medicine and Imaging 1.0k
- Neurology 270
- Pediatrics, Perinatology and Child Health 488
Countries citing papers authored by Kiho Im
This map shows the geographic impact of Kiho Im'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 Kiho Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiho Im more than expected).
Fields of papers citing papers by Kiho Im
This network shows the impact of papers produced by Kiho Im. 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 Kiho Im. The network helps show where Kiho Im may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kiho Im, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 17 | |
| 13 | 2019 | 23 | |
| 14 | 2019 | 37 | |
| 15 | 2018 | 14 | |
| 16 | 2018 | 51 | |
| 17 | 2014 | 145 | |
| 18 | Prediction of Human Intelligence using Morphometric Characteristics of Cerebral Cortex | 2011 | 1 |
| 19 | T1-Axial Medial Temporal Atrophy Visual Rating: A Comparable Study with Schelten’s T1-Coronal Visual Rating | 2009 | 3 |
| 20 | 2006 | 194 |
About Kiho Im
Kiho Im is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Psychiatry and Mental health and Geometry and Topology, having authored 75 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (33 papers), Fetal and Pediatric Neurological Disorders (27 papers), Neonatal and fetal brain pathology (24 papers), Functional Brain Connectivity Studies (19 papers), Dementia and Cognitive Impairment Research (13 papers), Domain Adaptation and Few-Shot Learning (6 papers), Congenital Heart Disease Studies (6 papers) and Prenatal Screening and Diagnostics (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Psychiatry and Mental health (780 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Neurology (270 citations) and Pediatrics, Perinatology and Child Health (488 citations). Kiho Im has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include P. Ellen Grant, Sun I. Kim, Sang Won Seo, Jong Min Lee, Alan C. Evans, Uicheul Yoon, Sung Tae Kim, Duk L. Na, Duk L. Na and Seung Hyun Kim. Their work appears in journals such as Cerebral Cortex, NeuroImage, Frontiers in Neuroscience, Journal of Alzheimer s Disease and PLoS ONE.
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.