Mansu Kim
Impact in
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies
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- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
Papers in
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- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 5
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- Functional Brain Connectivity Studies 12
- Co-authors
- Hyunjin Park (17 shared papers)Bo‐yong Park (8 shared papers)Jinyoung Youn (6 shared papers)Li Shen (16 shared papers)Se‐Hong Kim (3 shared papers)Hyun Gi Kim (2 shared papers)Mi Ji Lee (1 shared paper)Kefei Liu (5 shared papers)
- Journals
- Scientific Reports (3 papers)Medical Image Analysis (2 papers)BMC Medical Genomics (2 papers)Frontiers in Aging Neuroscience (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- South KoreaUnited StatesCanada
In The Last Decade
Mansu Kim
44 papers receiving 510 citations
Peers
Comparison fields: 5 of 92
- Cognitive Neuroscience 132
- Neurology 78
- Health Informatics 5
- Neurology 29
- Radiology, Nuclear Medicine and Imaging 80
Countries citing papers authored by Mansu Kim
This map shows the geographic impact of Mansu 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 Mansu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansu Kim more than expected).
Fields of papers citing papers by Mansu Kim
This network shows the impact of papers produced by Mansu 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 Mansu Kim. The network helps show where Mansu Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Mansu 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
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 36 | |
| 4 | 2016 | 31 | |
| 5 | 2017 | 29 | |
| 6 | 2021 | 24 | |
| 7 | 2015 | 24 | |
| 8 | 2015 | 23 | |
| 9 | 2014 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2011 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2019 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 8 |
About Mansu Kim
Mansu Kim is a scholar working on Molecular Biology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Neurology and Genetics, having authored 50 papers that have together received 518 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Bioinformatics and Genomic Networks (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Neurological disorders and treatments (8 papers), Genetic Associations and Epidemiology (8 papers), Alzheimer's disease research and treatments (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Cognitive Neuroscience (132 citations), Neurology (78 citations), Health Informatics (5 citations), Neurology (29 citations) and Radiology, Nuclear Medicine and Imaging (80 citations). Mansu Kim has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Hyunjin Park, Bo‐yong Park, Jinyoung Youn, Li Shen, Se‐Hong Kim, Hyun Gi Kim, Mi Ji Lee, Kefei Liu, Sung-Soo Kim and Qi Long. Their work appears in journals such as Scientific Reports, Medical Image Analysis, BMC Medical Genomics, Frontiers in Aging Neuroscience and Frontiers in Neuroscience.
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.