Fujio Kasumi
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 1%
- Pathology and Forensic Medicine top 1%
- Genetics top 2%
- Co-authors
- Goi SakamotoFutoshi AkiyamaMasataka YoshimotoMitsuru EmiYusuke NakamuraToyomasa KatagiriAkira TanigamiYoshio Miki
- Topics
- Breast Cancer Treatment Studies (35 papers)Breast Lesions and Carcinomas (27 papers)Cancer Genomics and Diagnostics (26 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Fujio Kasumi
117 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.4k
- Oncology 1.4k
- Cancer Research 1.3k
- Pathology and Forensic Medicine 962
- Genetics 790
Countries citing papers authored by Fujio Kasumi
This map shows the geographic impact of Fujio Kasumi'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 Fujio Kasumi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujio Kasumi more than expected).
Fields of papers citing papers by Fujio Kasumi
This network shows the impact of papers produced by Fujio Kasumi. 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 Fujio Kasumi. The network helps show where Fujio Kasumi may publish in the future.
Co-authorship network of co-authors of Fujio Kasumi
This figure shows the co-authorship network connecting the top 25 collaborators of Fujio Kasumi. A scholar is included among the top collaborators of Fujio Kasumi 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 Fujio Kasumi. Fujio Kasumi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 28 | |
| 6 | 0 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 65 | |
| 12 | 12 | |
| 13 | 9 | |
| 14 | 23 | |
| 15 | ON THE DIAGNOSIS OF SYNCHRONOUS BILATERAL BREAST CANCER BY THERMOGRAPHY | 2 |
| 16 | CLINICAL STATISTICS ON REGISTERED BREAST CANCER PATIENTS IN JAPAN | 1 |
| 17 | 11 | |
| 18 | Allelotype of breast cancer: cumulative allele losses promote tumor progression in primary breast cancer. | 457 |
| 19 | The influence of family history of cancer, irradiation and anticancer medication (mitomycin C), on the occurrence of multiple primary neoplasms with breast cancer | 1 |
| 20 | 6 |
About Fujio Kasumi
Fujio Kasumi is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 122 papers that have together received 3.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (35 papers), Breast Lesions and Carcinomas (27 papers) and Cancer Genomics and Diagnostics (26 papers). The work is most often cited by research in Cancer Research (1.3k citations), Pathology and Forensic Medicine (962 citations) and Oncology (1.4k citations). Fujio Kasumi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Goi Sakamoto, Futoshi Akiyama, Masataka Yoshimoto, Mitsuru Emi, Yusuke Nakamura, Toyomasa Katagiri, Akira Tanigami, Yoshio Miki, Takaaki Sato and Kazuhiro Yamakawa. Their work appears in journals such as Nature Genetics, Cancer and International Journal of Radiation Oncology*Biology*Physics.
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.