Natsuko Kunimatsu
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Cognitive Neuroscience
- Genetics
- Neurology
- Co-authors
- Akira KunimatsuOsamu AbeHiroyuki AkaiKoichiro YasakaHarushi MoriKouhei KamiyaKuni OhtomoTakeyuki Watadani
- Topics
- MRI in cancer diagnosis (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Advanced Neuroimaging Techniques and Applications (4 papers)
- Journals
- Journal of Magnetic Resonance ImagingPsychiatry Research NeuroimagingDentomaxillofacial Radiology
- Partner nations
- JapanSwitzerland
In The Last Decade
Natsuko Kunimatsu
14 papers receiving 416 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 215
- Epidemiology 94
- Cognitive Neuroscience 83
- Genetics 74
- Neurology 72
Countries citing papers authored by Natsuko Kunimatsu
This map shows the geographic impact of Natsuko Kunimatsu'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 Natsuko Kunimatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natsuko Kunimatsu more than expected).
Fields of papers citing papers by Natsuko Kunimatsu
This network shows the impact of papers produced by Natsuko Kunimatsu. 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 Natsuko Kunimatsu. The network helps show where Natsuko Kunimatsu may publish in the future.
Co-authorship network of co-authors of Natsuko Kunimatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Natsuko Kunimatsu. A scholar is included among the top collaborators of Natsuko Kunimatsu 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 Natsuko Kunimatsu. Natsuko Kunimatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 18 | |
| 4 | 106 | |
| 5 | 3 | |
| 6 | 41 | |
| 7 | 28 | |
| 8 | 53 | |
| 9 | 0 | |
| 10 | 54 | |
| 11 | 50 | |
| 12 | 23 | |
| 13 | 27 | |
| 14 | A case of renal angioleiomyoma with rapid growing: CT findings with histopathological correlation. | 6 |
| 15 | 9 |
About Natsuko Kunimatsu
Natsuko Kunimatsu is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Otorhinolaryngology, having authored 15 papers that have together received 423 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (215 citations), Genetics (74 citations) and Health Informatics (9 citations). Natsuko Kunimatsu has collaborated with scholars based in Japan and Switzerland. Frequent co-authors include Akira Kunimatsu, Osamu Abe, Hiroyuki Akai, Koichiro Yasaka, Harushi Mori, Kouhei Kamiya, Kuni Ohtomo, Takeyuki Watadani, Yoshitaka Masutani and Masaki Katsura. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Psychiatry Research Neuroimaging and Dentomaxillofacial Radiology.
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.