Mamoru Fukuda
- Molecular Biology top 5%
- Oncology top 2%
- Genetics top 5%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Tomohiko OhtaHiroyuki NishikawaIchiro MaedaHaruki OgataYukari YabukiDaisuke OyakeRintaro HashizumeWenwen Wu
- Topics
- Breast Cancer Treatment Studies (12 papers)Breast Lesions and Carcinomas (12 papers)Ubiquitin and proteasome pathways (11 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Mamoru Fukuda
80 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.7k
- Oncology 1.1k
- Genetics 566
- Cancer Research 535
- Pulmonary and Respiratory Medicine 473
Countries citing papers authored by Mamoru Fukuda
This map shows the geographic impact of Mamoru Fukuda'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 Mamoru Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamoru Fukuda more than expected).
Fields of papers citing papers by Mamoru Fukuda
This network shows the impact of papers produced by Mamoru Fukuda. 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 Mamoru Fukuda. The network helps show where Mamoru Fukuda may publish in the future.
Co-authorship network of co-authors of Mamoru Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of Mamoru Fukuda. A scholar is included among the top collaborators of Mamoru Fukuda 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 Mamoru Fukuda. Mamoru Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trialbreakdown → | 381 |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 167 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 34 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | T-loop deletion of CDC2 from breast cancer tissues eliminates binding to cyclin B1 and cyclin-dependent kinase inhibitor p21. | 9 |
| 20 | 4 |
About Mamoru Fukuda
Mamoru Fukuda is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 100 papers that have together received 3.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (12 papers) and Ubiquitin and proteasome pathways (11 papers). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (535 citations) and Molecular Biology (1.7k citations). Mamoru Fukuda has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Tomohiko Ohta, Hiroyuki Nishikawa, Ichiro Maeda, Haruki Ogata, Yukari Yabuki, Daisuke Oyake, Rintaro Hashizume, Wenwen Wu, Rachel E. Klevit and Ayaka Koike. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.