Fumio Tashiro
- Molecular Biology top 10%
- Plant Science top 5%
- Cancer Research top 5%
- Oncology top 10%
- Immunology top 10%
- Co-authors
- Yoshio UenoAkinori SugiyamaHitoshi IchikawaYoichi TayaHirotada AkiyamaYuji UenoRieko OhkiTatsuya Kawase
- Topics
- Mycotoxins in Agriculture and Food (20 papers)Streptococcal Infections and Treatments (10 papers)Cancer-related Molecular Pathways (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Fumio Tashiro
112 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Plant Science 378
- Cancer Research 354
- Oncology 335
- Immunology 243
Countries citing papers authored by Fumio Tashiro
This map shows the geographic impact of Fumio Tashiro'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 Fumio Tashiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Tashiro more than expected).
Fields of papers citing papers by Fumio Tashiro
This network shows the impact of papers produced by Fumio Tashiro. 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 Fumio Tashiro. The network helps show where Fumio Tashiro may publish in the future.
Co-authorship network of co-authors of Fumio Tashiro
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Tashiro. A scholar is included among the top collaborators of Fumio Tashiro 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 Fumio Tashiro. Fumio Tashiro 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 | 1 | |
| 3 | 0 | |
| 4 | 30 | |
| 5 | 25 | |
| 6 | 26 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 185 | |
| 10 | 74 | |
| 11 | 29 | |
| 12 | 8 | |
| 13 | 69 | |
| 14 | 22 | |
| 15 | OVEREXPRESSION OF C-MYC GENE IS REQUIRED FOR TAMOXIFEN-ELICITED APOPTOSIS IN AFLATOXIN B_1-INDUCED RAT HEPATOMA CELLS | 1 |
| 16 | 13 | |
| 17 | Mode of action and metabolism of zearalenone an estrogenic myco toxin | 1 |
| 18 | The in vitro effects of various gonadotropins and steroid hormones on oocyte maturation in amago salmon, Oncorhynchus rhodurus, and rainbow trout, Salmo gairdneri. | 25 |
| 19 | 29 | |
| 20 | 8 |
About Fumio Tashiro
Fumio Tashiro is a scholar working on Periodontics, Molecular Biology and Physiology, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (20 papers), Streptococcal Infections and Treatments (10 papers) and Cancer-related Molecular Pathways (10 papers). The work is most often cited by research in Physiology (116 citations), Cancer Research (354 citations) and Molecular Biology (1.2k citations). Fumio Tashiro has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yoshio Ueno, Akinori Sugiyama, Hitoshi Ichikawa, Yoichi Taya, Hirotada Akiyama, Yuji Ueno, Rieko Ohki, Tatsuya Kawase, Yukihiro Takahashi and Yoshitaka Nagahama. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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.