Jun–ichi Fujisawa
- Molecular Biology top 2%
- Immunology top 0.5%
- Agronomy and Crop Science top 0.2%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Oncology top 2%
- Co-authors
- Minoru YoshidaMotoharu SeikiNaoko AraiMitsuaki YoshidaYutaka TakebeKyoko YokotaKen‐ichi AraiTakuro Yoshimura
- Topics
- T-cell and Retrovirus Studies (54 papers)Animal Disease Management and Epidemiology (47 papers)Vector-Borne Animal Diseases (44 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Jun–ichi Fujisawa
101 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 3.0k
- Immunology 3.0k
- Agronomy and Crop Science 1.8k
- Ecology, Evolution, Behavior and Systematics 1.7k
- Oncology 1.1k
Countries citing papers authored by Jun–ichi Fujisawa
This map shows the geographic impact of Jun–ichi Fujisawa'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 Jun–ichi Fujisawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun–ichi Fujisawa more than expected).
Fields of papers citing papers by Jun–ichi Fujisawa
This network shows the impact of papers produced by Jun–ichi Fujisawa. 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 Jun–ichi Fujisawa. The network helps show where Jun–ichi Fujisawa may publish in the future.
Co-authorship network of co-authors of Jun–ichi Fujisawa
This figure shows the co-authorship network connecting the top 25 collaborators of Jun–ichi Fujisawa. A scholar is included among the top collaborators of Jun–ichi Fujisawa 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 Jun–ichi Fujisawa. Jun–ichi Fujisawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | 68 | |
| 6 | 8 | |
| 7 | 113 | |
| 8 | 56 | |
| 9 | 120 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 26 | |
| 14 | 32 | |
| 15 | 387 | |
| 16 | 26 | |
| 17 | 92 | |
| 18 | 50 | |
| 19 | 51 | |
| 20 | 21 |
About Jun–ichi Fujisawa
Jun–ichi Fujisawa is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 101 papers that have together received 6.5k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (54 papers), Animal Disease Management and Epidemiology (47 papers) and Vector-Borne Animal Diseases (44 papers). The work is most often cited by research in Agronomy and Crop Science (1.8k citations), Immunology (3.0k citations) and Ecology, Evolution, Behavior and Systematics (1.7k citations). Jun–ichi Fujisawa has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Minoru Yoshida, Motoharu Seiki, Naoko Arai, Mitsuaki Yoshida, Yutaka Takebe, Kyoko Yokota, Ken‐ichi Arai, Takuro Yoshimura, Koichi Matsuzaki and Toshihito Seki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.