Mika Naganawa
- Biological Psychiatry top 1%
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- Neuroscience and Neuropharmacology Research 26
- Neuropeptides and Animal Physiology 11
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- Medical Imaging Techniques and Applications 50
- Advanced MRI Techniques and Applications 34
- Physiology top 2%
- Alzheimer's disease research and treatments 16
- Psychiatry and Mental health top 2%
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- Functional Brain Connectivity Studies 22
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- Receptor Mechanisms and Signaling 18
- Pharmacological Receptor Mechanisms and Effects 10
Mika Naganawa
133 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Biological Psychiatry 289
- Cellular and Molecular Neuroscience 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Physiology 173
- Psychiatry and Mental health 524
Countries citing papers authored by Mika Naganawa
This map shows the geographic impact of Mika Naganawa'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 Mika Naganawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Naganawa more than expected).
Fields of papers citing papers by Mika Naganawa
This network shows the impact of papers produced by Mika Naganawa. 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 Mika Naganawa. The network helps show where Mika Naganawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mika Naganawa, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 72 | |
| 7 | 2021 | 61 | |
| 8 | 2020 | 84 | |
| 9 | 2020 | 46 | |
| 10 | 2019 | 26 | |
| 11 | Lower synaptic density is associated with depression severity and network alterationsbreakdown → | 2019 | 323 |
| 12 | 2019 | 32 | |
| 13 | 2018 | 21 | |
| 14 | 2013 | 23 | |
| 15 | A Strategy to Improve PET Neuroreceptor Analysis MA1 Based on Statistics of Measurement Errors | 2010 | 0 |
| 16 | 2008 | 18 | |
| 17 | 2007 | 14 | |
| 18 | 2007 | 15 | |
| 19 | Imaging detailed cerebral glucose metabolism in PET using maximum a posterior criterion and pattern recognition : Search algorithm in feature space | 2006 | 3 |
| 20 | 2006 | 124 |
About Mika Naganawa
Mika Naganawa is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 137 papers that have together received 3.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (50 papers), Advanced MRI Techniques and Applications (34 papers), Neuroscience and Neuropharmacology Research (26 papers), Functional Brain Connectivity Studies (22 papers), Receptor Mechanisms and Signaling (18 papers), Alzheimer's disease research and treatments (16 papers), Neuropeptides and Animal Physiology (11 papers) and Pharmacological Receptor Mechanisms and Effects (10 papers). The work is most often cited by research in Biological Psychiatry (289 citations), Cellular and Molecular Neuroscience (1.3k citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Mika Naganawa has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Richard E. Carson, Nabeel Nabulsi, Yiyun Huang, Yuichi Kimura, Takuya Toyonaga, Jim Ropchan, Sjoerd J. Finnema, Kiichi Ishiwata, Kenji Ishii and Yihuan Lu. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.