Yuka Yashima
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Artificial Intelligence top 10%
- Molecular Biology
- Epidemiology
- Co-authors
- Chae Gyu ParkEiji UmemotoRalph M. SteinmanKazuhiko TakaharaKazumi MatsubaraYudai MatsudaKensuke InabaBjörn E. Clausen
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)MRI in cancer diagnosis (6 papers)Medical Imaging Techniques and Applications (6 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Yuka Yashima
35 papers receiving 510 citations
Peers
Comparison fields: 5 of 99
- Radiology, Nuclear Medicine and Imaging 191
- Immunology 148
- Artificial Intelligence 113
- Molecular Biology 105
- Epidemiology 44
Countries citing papers authored by Yuka Yashima
This map shows the geographic impact of Yuka Yashima'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 Yuka Yashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuka Yashima more than expected).
Fields of papers citing papers by Yuka Yashima
This network shows the impact of papers produced by Yuka Yashima. 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 Yuka Yashima. The network helps show where Yuka Yashima may publish in the future.
Co-authorship network of co-authors of Yuka Yashima
This figure shows the co-authorship network connecting the top 25 collaborators of Yuka Yashima. A scholar is included among the top collaborators of Yuka Yashima 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 Yuka Yashima. Yuka Yashima 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 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 29 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 63 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | Up-regulation of various cytokines in pulp tissues after experimental tooth movement in rats | 2 |
| 16 | 11 | |
| 17 | 6 | |
| 18 | 7 | |
| 19 | 36 | |
| 20 | Effects of ultraviolet microbeam irradiation of selective cellular parts on mitotic process of HeLa cell in culture. | 2 |
About Yuka Yashima
Yuka Yashima is a scholar working on Radiology, Nuclear Medicine and Imaging, Virology and Cancer Research, having authored 38 papers that have together received 515 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), MRI in cancer diagnosis (6 papers) and Medical Imaging Techniques and Applications (6 papers). The work is most often cited by research in Health Informatics (20 citations), Radiology, Nuclear Medicine and Imaging (191 citations) and Immunology (148 citations). Yuka Yashima has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Chae Gyu Park, Eiji Umemoto, Ralph M. Steinman, Kazuhiko Takahara, Kazumi Matsubara, Yudai Matsuda, Kensuke Inaba, Björn E. Clausen, Tsuyoshi Nakagawa and Ukihide Tateishi. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Chromatography A.
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.