Monica Shin
- Psychiatry and Mental health top 2%
- Dementia and Cognitive Impairment Research 24
- Physiology top 5%
- Alzheimer's disease research and treatments 22
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Biological Psychiatry top 10%
- Cognitive Neuroscience top 10%
- Functional Brain Connectivity Studies 12
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- Advanced Neuroimaging Techniques and Applications 7
- Medical Imaging Techniques and Applications 6
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- Epigenetics and DNA Methylation 2
- Bioinformatics and Genomic Networks 2
- Co-authors
- Serge GauthierPedro Rosa‐NetoTharick A. PascoalSulantha MathotaarachchiMin Su KangAndréa Lessa BenedetJoseph TherriaultGassan Massarweh
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Monica Shin
38 papers receiving 997 citations
Peers
Comparison fields: 5 of 85
- Psychiatry and Mental health 457
- Physiology 638
- Neurology 168
- Biological Psychiatry 39
- Cognitive Neuroscience 243
Countries citing papers authored by Monica Shin
This map shows the geographic impact of Monica Shin'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 Monica Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Shin more than expected).
Fields of papers citing papers by Monica Shin
This network shows the impact of papers produced by Monica Shin. 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 Monica Shin. The network helps show where Monica Shin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Monica Shin, 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 | 2023 | 1 | |
| 2 | 2021 | 17 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 12 | |
| 5 | 2019 | 19 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 61 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 35 | |
| 11 | 2017 | 248 | |
| 12 | 2017 | 78 | |
| 13 | 2016 | 98 | |
| 14 | 2016 | 55 | |
| 15 | 2016 | 32 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 11 | |
| 18 | 2013 | 23 | |
| 19 | 2012 | 42 | |
| 20 | 2012 | 1 |
About Monica Shin
Monica Shin is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (24 papers), Alzheimer's disease research and treatments (22 papers), Functional Brain Connectivity Studies (12 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Medical Imaging Techniques and Applications (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Epigenetics and DNA Methylation (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Psychiatry and Mental health (457 citations), Physiology (638 citations) and Neurology (168 citations). Monica Shin has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Serge Gauthier, Pedro Rosa‐Neto, Tharick A. Pascoal, Sulantha Mathotaarachchi, Min Su Kang, Andréa Lessa Benedet, Joseph Therriault, Gassan Massarweh, Kok Pin Ng and Vladimir Fonov. Their work appears in journals such as Nature Communications, Journal of Neuroscience 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.