Sungeun Kim
Impact in
- Psychiatry and Mental health top 1%
- Dementia and Cognitive Impairment Research
- Physiology top 2%
- Alzheimer's disease research and treatments
Papers in
-
- Dementia and Cognitive Impairment Research 19
-
- Medical Imaging Techniques and Applications 16
- Radiomics and Machine Learning in Medical Imaging 15
- Co-authors
- Andrew J. SaykinLi ShenShannon L. RisacherKwangsik NhoMichael W. WeinerTatiana ForoudClifford R. JackAnna Dubrovska
- Journals
- Alzheimer s & Dementia (18 papers)PLoS ONE (8 papers)Brain Imaging and Behavior (7 papers)Scientific Reports (4 papers)Neurobiology of Aging (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Sungeun Kim
153 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 159
- Psychiatry and Mental health 884
- Physiology 1.2k
- Neurology 364
- Radiology, Nuclear Medicine and Imaging 801
- Cognitive Neuroscience 517
Countries citing papers authored by Sungeun Kim
This map shows the geographic impact of Sungeun Kim'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 Sungeun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungeun Kim more than expected).
Fields of papers citing papers by Sungeun Kim
This network shows the impact of papers produced by Sungeun Kim. 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 Sungeun Kim. The network helps show where Sungeun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Sungeun Kim, 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 | 2024 | 3 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 14 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 7 | |
| 8 | Telomere Shortening in the Alzheimer’s Disease Neuroimaging Initiative Cohort | 2019 | 5 |
| 9 | 2018 | 2 | |
| 10 | 2017 | 24 | |
| 11 | 2017 | 15 | |
| 12 | APOE effect on Alzheimer's disease biomarkers in older adults with significant memory concern | 2015 | 4 |
| 13 | 2015 | 2 | |
| 14 | 2014 | 1 | |
| 15 | 2013 | 19 | |
| 16 | 2012 | 55 | |
| 17 | High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction | 2012 | 58 |
| 18 | 2011 | 51 | |
| 19 | 2011 | 36 | |
| 20 | 2010 | 97 |
About Sungeun Kim
Sungeun Kim is a scholar working on Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology, Aging and Pulmonary and Respiratory Medicine, having authored 161 papers that have together received 4.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (25 papers), Genetic Associations and Epidemiology (19 papers), Dementia and Cognitive Impairment Research (19 papers), Medical Imaging Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Cardiovascular Disease and Adiposity (13 papers), Bioinformatics and Genomic Networks (12 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). The work is most often cited by research in Psychiatry and Mental health (884 citations), Physiology (1.2k citations), Neurology (364 citations), Radiology, Nuclear Medicine and Imaging (801 citations) and Cognitive Neuroscience (517 citations). Sungeun Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Andrew J. Saykin, Li Shen, Shannon L. Risacher, Kwangsik Nho, Michael W. Weiner, Tatiana Foroud, Clifford R. Jack, Anna Dubrovska, Carlos Garcı́a-Echeverrı́a and Richard J. Salamone. Their work appears in journals such as Alzheimer s & Dementia, PLoS ONE, Brain Imaging and Behavior, Scientific Reports and Neurobiology of Aging.
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.