Tsutomu Fujimura
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Plant Science top 5%
- Immunology top 5%
- Co-authors
- Kimie MurayamaHikari TakaReed B. WicknerFumiyuki YamakuraEiichi NakamuraTakashi UenoSatoshi AokiReiko Mineki
- Topics
- Dermatology and Skin Diseases (14 papers)Neuropeptides and Animal Physiology (12 papers)Pain Mechanisms and Treatments (12 papers)
- Journals
- CellProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Tsutomu Fujimura
161 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 2.4k
- Physiology 843
- Epidemiology 729
- Plant Science 537
- Immunology 528
Countries citing papers authored by Tsutomu Fujimura
This map shows the geographic impact of Tsutomu Fujimura'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 Tsutomu Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsutomu Fujimura more than expected).
Fields of papers citing papers by Tsutomu Fujimura
This network shows the impact of papers produced by Tsutomu Fujimura. 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 Tsutomu Fujimura. The network helps show where Tsutomu Fujimura may publish in the future.
Co-authorship network of co-authors of Tsutomu Fujimura
This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Fujimura. A scholar is included among the top collaborators of Tsutomu Fujimura 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 Tsutomu Fujimura. Tsutomu Fujimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 13 | |
| 9 | 225 | |
| 10 | 59 | |
| 11 | 23 | |
| 12 | 73 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 7 | |
| 16 | 75 | |
| 17 | 37 | |
| 18 | Skin morphology at the time of UV irradiation is important for wrinkle formation | 4 |
| 19 | Reduction of cytotoxic effect of pirarubicin by caffeine in P388 leukemia cells | 1 |
| 20 | Effect of cepharanthine on doxorubicin cytotoxicity in P388 murine leukemia cells in vitro and in vivo. | 2 |
About Tsutomu Fujimura
Tsutomu Fujimura is a scholar working on Dermatology, Immunology and Allergy and Pharmaceutical Science, having authored 164 papers that have together received 5.1k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (14 papers), Neuropeptides and Animal Physiology (12 papers) and Pain Mechanisms and Treatments (12 papers). The work is most often cited by research in Dermatology (398 citations), Transplantation (121 citations) and Endocrinology (197 citations). Tsutomu Fujimura has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kimie Murayama, Hikari Taka, Reed B. Wickner, Fumiyuki Yamakura, Eiichi Nakamura, Takashi Ueno, Satoshi Aoki, Reiko Mineki, Rosa Esteban and Masaaki Komatsu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.