Mika Naganawa
- Cellular and Molecular Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Molecular Biology top 10%
- Physiology top 5%
- Cognitive Neuroscience top 5%
- Co-authors
- Richard E. CarsonNabeel NabulsiYiyun HuangYuichi KimuraTakuya ToyonagaJim RopchanSjoerd J. FinnemaKiichi Ishiwata
- Topics
- Medical Imaging Techniques and Applications (50 papers)Advanced MRI Techniques and Applications (34 papers)Neuroscience and Neuropharmacology Research (26 papers)
- Cited by
- Biological PsychiatryCellular and Molecular NeuroscienceRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesJapanChina
In The Last Decade
Mika Naganawa
133 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cellular and Molecular Neuroscience 1.3k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Molecular Biology 891
- Physiology 699
- Cognitive Neuroscience 641
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 of co-authors of Mika Naganawa
This figure shows the co-authorship network connecting the top 25 collaborators of Mika Naganawa. A scholar is included among the top collaborators of Mika Naganawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mika Naganawa. Mika Naganawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 72 | |
| 7 | 61 | |
| 8 | 84 | |
| 9 | 46 | |
| 10 | 26 | |
| 11 | Lower synaptic density is associated with depression severity and network alterationsbreakdown → | 323 |
| 12 | 32 | |
| 13 | 21 | |
| 14 | 23 | |
| 15 | A Strategy to Improve PET Neuroreceptor Analysis MA1 Based on Statistics of Measurement Errors | 0 |
| 16 | 18 | |
| 17 | 14 | |
| 18 | 15 | |
| 19 | Imaging detailed cerebral glucose metabolism in PET using maximum a posterior criterion and pattern recognition : Search algorithm in feature space | 3 |
| 20 | 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) and Neuroscience and Neuropharmacology Research (26 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.