Toyoshi Fujimoto
- Molecular Biology top 0.5%
- Cell Biology top 0.1%
- Biochemistry top 0.02%
- Physiology top 1%
- Epidemiology top 2%
- Co-authors
- Jinglei ChengYuki OhsakiAkikazu FujitaRyuji NomuraMichitaka SuzukiHiroshi KogoRobert G. PartonYuki Shinohara
- Topics
- Lipid metabolism and biosynthesis (44 papers)Caveolin-1 and cellular processes (40 papers)Endoplasmic Reticulum Stress and Disease (31 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Toyoshi Fujimoto
187 papers receiving 10.8k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 6.7k
- Cell Biology 4.1k
- Biochemistry 2.7k
- Physiology 1.9k
- Epidemiology 1.5k
Countries citing papers authored by Toyoshi Fujimoto
This map shows the geographic impact of Toyoshi Fujimoto'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 Toyoshi Fujimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toyoshi Fujimoto more than expected).
Fields of papers citing papers by Toyoshi Fujimoto
This network shows the impact of papers produced by Toyoshi Fujimoto. 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 Toyoshi Fujimoto. The network helps show where Toyoshi Fujimoto may publish in the future.
Co-authorship network of co-authors of Toyoshi Fujimoto
This figure shows the co-authorship network connecting the top 25 collaborators of Toyoshi Fujimoto. A scholar is included among the top collaborators of Toyoshi Fujimoto 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 Toyoshi Fujimoto. Toyoshi Fujimoto 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 | 54 | |
| 3 | 10 | |
| 4 | 62 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 90 | |
| 8 | 103 | |
| 9 | 1 | |
| 10 | 36 | |
| 11 | 39 | |
| 12 | 130 | |
| 13 | 93 | |
| 14 | 14 | |
| 15 | 8 | |
| 16 | 155 | |
| 17 | 19 | |
| 18 | 111 | |
| 19 | Distributional change of fodrin in the wound healing process of the corneal epithelium. | 19 |
| 20 | CATHODOLUMINESCENCE (CL) FROM LIPID DROPLETS (LD) OF VARIOUS FOLLICLES (FC) OF RAT BY ANALYTICAL COLOR FLUORESCENCE ELECTRON MICROSCOPY | 1 |
About Toyoshi Fujimoto
Toyoshi Fujimoto is a scholar working on Biochemistry, Cell Biology and Molecular Biology, having authored 189 papers that have together received 10.9k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (44 papers), Caveolin-1 and cellular processes (40 papers) and Endoplasmic Reticulum Stress and Disease (31 papers). The work is most often cited by research in Biochemistry (2.7k citations), Cell Biology (4.1k citations) and Molecular Biology (6.7k citations). Toyoshi Fujimoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Jinglei Cheng, Yuki Ohsaki, Akikazu Fujita, Ryuji Nomura, Michitaka Suzuki, Hiroshi Kogo, Robert G. Parton, Yuki Shinohara, Kazuo Ogawa and Toshiaki Houjou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.