Masahiro Fujii
- Immunology top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Agronomy and Crop Science top 0.1%
- Molecular Biology top 5%
- Oncology top 5%
- Co-authors
- Masaya HiguchiMasayasu OieMasahiko TakahashiMotoharu SeikiYuetsu TanakaNaoki YamamotoPaolo Sassone‐CorsiInder M. Verma
- Topics
- T-cell and Retrovirus Studies (80 papers)Animal Disease Management and Epidemiology (64 papers)Vector-Borne Animal Diseases (62 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masahiro Fujii
151 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 129
- Immunology 3.4k
- Ecology, Evolution, Behavior and Systematics 2.3k
- Agronomy and Crop Science 2.3k
- Molecular Biology 1.3k
- Oncology 495
Countries citing papers authored by Masahiro Fujii
This map shows the geographic impact of Masahiro Fujii'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 Masahiro Fujii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Fujii more than expected).
Fields of papers citing papers by Masahiro Fujii
This network shows the impact of papers produced by Masahiro Fujii. 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 Masahiro Fujii. The network helps show where Masahiro Fujii may publish in the future.
Co-authorship network of co-authors of Masahiro Fujii
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Fujii. A scholar is included among the top collaborators of Masahiro Fujii 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 Masahiro Fujii. Masahiro Fujii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | 37 | |
| 7 | 3 | |
| 8 | RoF system for Dual W-CDMA and LTE Systems | 2 |
| 9 | A Study on Interference Suppression using Weighting factors for MB-OFDM systems | 1 |
| 10 | 1 | |
| 11 | A Study on Location Awareness System using cellular phone with Bluetooth | 3 |
| 12 | 1 | |
| 13 | ABERRANT ACTIVATION OF NF-κB/Rel AND AP-1 IN ADULT T-CELL LEUKEMIA | 0 |
| 14 | 1 | |
| 15 | 10 | |
| 16 | 60 | |
| 17 | 79 | |
| 18 | 33 | |
| 19 | 11 | |
| 20 | 30 |
About Masahiro Fujii
Masahiro Fujii is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 160 papers that have together received 5.1k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (80 papers), Animal Disease Management and Epidemiology (64 papers) and Vector-Borne Animal Diseases (62 papers). The work is most often cited by research in Agronomy and Crop Science (2.3k citations), Immunology (3.4k citations) and Ecology, Evolution, Behavior and Systematics (2.3k citations). Masahiro Fujii has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masaya Higuchi, Masayasu Oie, Masahiko Takahashi, Motoharu Seiki, Yuetsu Tanaka, Naoki Yamamoto, Paolo Sassone‐Corsi, Inder M. Verma, Kazuo Sugamura and Mari Kannagi. 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.