Suguru Kakite
- Radiology, Nuclear Medicine and Imaging top 5%
- Hepatology top 5%
- Reproductive Medicine top 5%
- Epidemiology
- Obstetrics and Gynecology top 5%
- Co-authors
- Toshihide OgawaYoshiko KanasakiToshio KaminouBachir TaouliShinya FujiiHadrien DyvorneEiji MatsusueTasuku Harada
- Topics
- MRI in cancer diagnosis (12 papers)Hepatocellular Carcinoma Treatment and Prognosis (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of HepatologyAmerican Journal of Neuroradiology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Suguru Kakite
25 papers receiving 696 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 472
- Hepatology 177
- Reproductive Medicine 148
- Epidemiology 113
- Obstetrics and Gynecology 107
Countries citing papers authored by Suguru Kakite
This map shows the geographic impact of Suguru Kakite'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 Suguru Kakite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suguru Kakite more than expected).
Fields of papers citing papers by Suguru Kakite
This network shows the impact of papers produced by Suguru Kakite. 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 Suguru Kakite. The network helps show where Suguru Kakite may publish in the future.
Co-authorship network of co-authors of Suguru Kakite
This figure shows the co-authorship network connecting the top 25 collaborators of Suguru Kakite. A scholar is included among the top collaborators of Suguru Kakite 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 Suguru Kakite. Suguru Kakite 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 | 37 | |
| 3 | 19 | |
| 4 | 17 | |
| 5 | 105 | |
| 6 | Radiation-induced microbleeds after cranial irradiation: evaluation by phase-sensitive magnetic resonance imaging with 3.0 tesla. | 25 |
| 7 | 24 | |
| 8 | 18 | |
| 9 | 69 | |
| 10 | 16 | |
| 11 | 34 | |
| 12 | 8 | |
| 13 | 12 | |
| 14 | 12 | |
| 15 | 24 | |
| 16 | 15 | |
| 17 | 21 | |
| 18 | 29 | |
| 19 | 118 | |
| 20 | 9 |
About Suguru Kakite
Suguru Kakite is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 26 papers that have together received 707 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (12 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Hepatology (177 citations), Radiology, Nuclear Medicine and Imaging (472 citations) and Reproductive Medicine (148 citations). Suguru Kakite has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Toshihide Ogawa, Yoshiko Kanasaki, Toshio Kaminou, Bachir Taouli, Shinya Fujii, Hadrien Dyvorne, Eiji Matsusue, Tasuku Harada, Marcelo Facciuto and Cecilia Besa. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hepatology and American Journal of Neuroradiology.
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.