Chaeryon Kang
Impact in
-
- Neonatal and fetal brain pathology
- Fetal and Pediatric Neurological Disorders
- Infant Development and Preterm Care
- Birth, Development, and Health
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
Papers in
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- Statistical Methods and Inference 5
- Advanced Causal Inference Techniques 4
- Co-authors
- John H. GilmoreRobert M. HamerJ. Keith SmithWeili LinGuido GerigRebecca KnickmeyerSylvain GouttardKathy Wilber
- Journals
- Hippocampus (2 papers)Frontiers in Aging Neuroscience (2 papers)Contemporary Clinical Trials (2 papers)Frontiers in Human Neuroscience (2 papers)Statistics in Medicine (2 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Chaeryon Kang
34 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Pediatrics, Perinatology and Child Health 569
- Cognitive Neuroscience 366
- Computational Mathematics 11
- Radiology, Nuclear Medicine and Imaging 377
- Behavioral Neuroscience 53
Countries citing papers authored by Chaeryon Kang
This map shows the geographic impact of Chaeryon Kang'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 Chaeryon Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaeryon Kang more than expected).
Fields of papers citing papers by Chaeryon Kang
This network shows the impact of papers produced by Chaeryon Kang. 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 Chaeryon Kang. The network helps show where Chaeryon Kang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chaeryon Kang, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 3 | |
| 16 | 2017 | 17 | |
| 17 | 2017 | 11 | |
| 18 | 2009 | 84 | |
| 19 | 2008 | 68 | |
| 20 | 2008 | 5 |
About Chaeryon Kang
Chaeryon Kang is a scholar working on Computational Mathematics, Statistics and Probability, Neuropsychology and Physiological Psychology, Statistics, Probability and Uncertainty and Obstetrics and Gynecology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (5 papers), Statistical Methods and Inference (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Advanced Causal Inference Techniques (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Health Policy Implementation Science (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (569 citations), Cognitive Neuroscience (366 citations), Computational Mathematics (11 citations), Radiology, Nuclear Medicine and Imaging (377 citations) and Behavioral Neuroscience (53 citations). Chaeryon Kang has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include John H. Gilmore, Robert M. Hamer, J. Keith Smith, Weili Lin, Guido Gerig, Rebecca Knickmeyer, Sylvain Gouttard, Kathy Wilber, Martin Styner and Jeffrey A. Lieberman. Their work appears in journals such as Hippocampus, Frontiers in Aging Neuroscience, Contemporary Clinical Trials, Frontiers in Human Neuroscience and Statistics in Medicine.
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.