Min Tae M Park
- Biological Psychiatry top 5%
- Behavioral Neuroscience top 5%
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 12
- Neurology top 5%
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 4
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- Advanced Neuroimaging Techniques and Applications 10
- Advanced MRI Techniques and Applications 5
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- Alzheimer's disease research and treatments 6
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- Infant Development and Preterm Care 4
- Neonatal and fetal brain pathology 3
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- Medical Image Segmentation Techniques 3
- Co-authors
- M. Mallar ChakravartyAristotle N. VoineskosJon PipitoneJulie L. WinterburnJason P. LerchJens C. PruessnerMartín LepageTristram A. Lett
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Min Tae M Park
39 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 120
- Biological Psychiatry 105
- Behavioral Neuroscience 144
- Cognitive Neuroscience 773
- Neurology 218
- Psychiatry and Mental health 346
Countries citing papers authored by Min Tae M Park
This map shows the geographic impact of Min Tae M Park'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 Min Tae M Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Tae M Park more than expected).
Fields of papers citing papers by Min Tae M Park
This network shows the impact of papers produced by Min Tae M Park. 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 Min Tae M Park. The network helps show where Min Tae M Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min Tae M Park, 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 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 86 | |
| 7 | 2018 | 136 | |
| 8 | 2018 | 28 | |
| 9 | 2017 | 50 | |
| 10 | 2016 | 118 | |
| 11 | 2016 | 22 | |
| 12 | 2016 | 6 | |
| 13 | 2015 | 114 | |
| 14 | 2015 | 34 | |
| 15 | 2015 | 13 | |
| 16 | Illness Progression, Recent Stress, and Morphometry of Hippocampal Subfields and Medial Prefrontal Cortex in Major Depression | 2014 | 1 |
| 17 | 2014 | 41 | |
| 18 | 2014 | 115 | |
| 19 | 2014 | 30 | |
| 20 | 2001 | 10 |
About Min Tae M Park
Min Tae M Park is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Alzheimer's disease research and treatments (6 papers), Advanced MRI Techniques and Applications (5 papers), Infant Development and Preterm Care (4 papers), Dementia and Cognitive Impairment Research (4 papers), Medical Image Segmentation Techniques (3 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Biological Psychiatry (105 citations), Behavioral Neuroscience (144 citations) and Cognitive Neuroscience (773 citations). Min Tae M Park has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include M. Mallar Chakravarty, Aristotle N. Voineskos, Jon Pipitone, Julie L. Winterburn, Jason P. Lerch, Jens C. Pruessner, Jason P. Lerch, Martín Lepage, Tristram A. Lett and Diego A. Pizzagalli. Their work appears in journals such as Nature, Science and Journal of 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.