Taku Fujimura
Impact in
- Dermatology top 0.5%
- Cutaneous lymphoproliferative disorders research
- Dermatology and Skin Diseases
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Dermatology 87
- Cutaneous lymphoproliferative disorders research 54
- Cancer and Skin Lesions 22
- Oncology 120
- Cancer Immunotherapy and Biomarkers 41
- CAR-T cell therapy research 36
- Vascular Tumors and Angiosarcomas 25
- Cutaneous Melanoma Detection and Management 20
- Co-authors
- Setsuya AibaYumi KambayashiSadanori FurudateHiromori AkagiAkiko InagakiTakanori HidakaAya KakizakiYumi Yokozeki
- Journals
- The Journal of Dermatology (28 papers)Acta Dermato Venereologica (11 papers)Journal of Dermatological Science (10 papers)Dermatologic Therapy (9 papers)Theoretical and Applied Genetics (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Taku Fujimura
266 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 145
- Dermatology 844
- Immunology 1.4k
- Oncology 1.5k
- Immunology and Allergy 163
- Plant Science 908
Countries citing papers authored by Taku Fujimura
This map shows the geographic impact of Taku 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 Taku Fujimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Fujimura more than expected).
Fields of papers citing papers by Taku Fujimura
This network shows the impact of papers produced by Taku 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 Taku Fujimura. The network helps show where Taku Fujimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Taku Fujimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 11 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 5 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 33 | |
| 14 | 2019 | 11 | |
| 15 | 2018 | 41 | |
| 16 | 2018 | 11 | |
| 17 | 2016 | 214 | |
| 18 | 2010 | 22 | |
| 19 | 2008 | 0 | |
| 20 | Usefulness of three-drug additional combination therapy with bucillamine, sulfasalazine and methotrexate for refractory rheumatoid arthritis | 2002 | 1 |
About Taku Fujimura
Taku Fujimura is a scholar working on Dermatology, Oncology, Immunology, Pathology and Forensic Medicine and Rheumatology, having authored 285 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (54 papers), Immunotherapy and Immune Responses (52 papers), Cancer Immunotherapy and Biomarkers (41 papers), CAR-T cell therapy research (36 papers), Vascular Tumors and Angiosarcomas (25 papers), Cancer and Skin Lesions (22 papers), Melanoma and MAPK Pathways (20 papers) and Cutaneous Melanoma Detection and Management (20 papers). The work is most often cited by research in Dermatology (844 citations), Immunology (1.4k citations), Oncology (1.5k citations), Immunology and Allergy (163 citations) and Plant Science (908 citations). Taku Fujimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Setsuya Aiba, Yumi Kambayashi, Sadanori Furudate, Hiromori Akagi, Akiko Inagaki, Takanori Hidaka, Aya Kakizaki, Yumi Yokozeki, Akira Hashimoto and Yasuhiro Fujisawa. Their work appears in journals such as The Journal of Dermatology, Acta Dermato Venereologica, Journal of Dermatological Science, Dermatologic Therapy and Theoretical and Applied Genetics.
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.