Yoshihiro Ueda
- Immunology top 2%
- Molecular Biology top 10%
- Oncology top 10%
- Plant Science top 5%
- Cell Biology top 5%
- Co-authors
- Garnett KelsoeMotonari KondoTatsuo KinashiKaiyong YangTomoya KatakaiKoko KatagiriN KondoYasuhito Hamaguchi
- Topics
- T-cell and B-cell Immunology (16 papers)Immune Cell Function and Interaction (12 papers)Cell Adhesion Molecules Research (9 papers)
- Partner nations
- JapanUnited StatesUruguay
In The Last Decade
Yoshihiro Ueda
79 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Immunology 1.3k
- Molecular Biology 1.1k
- Oncology 436
- Plant Science 424
- Cell Biology 304
Countries citing papers authored by Yoshihiro Ueda
This map shows the geographic impact of Yoshihiro Ueda'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 Yoshihiro Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshihiro Ueda more than expected).
Fields of papers citing papers by Yoshihiro Ueda
This network shows the impact of papers produced by Yoshihiro Ueda. 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 Yoshihiro Ueda. The network helps show where Yoshihiro Ueda may publish in the future.
Co-authorship network of co-authors of Yoshihiro Ueda
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshihiro Ueda. A scholar is included among the top collaborators of Yoshihiro Ueda 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 Yoshihiro Ueda. Yoshihiro Ueda 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 | 18 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 46 | |
| 6 | 1 | |
| 7 | 114 | |
| 8 | 42 | |
| 9 | 101 | |
| 10 | 277 | |
| 11 | 21 | |
| 12 | Karyotype analyses of five wild rose species belonging to septet A by fluorescence in situ hybridization | 11 |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Distribution of infraspecific taxa of Petunia axillaris (Solanaceae) in Uruguay as revealed by discriminant analyses | 11 |
| 17 | Cyanidin 3-(2^G-xylosylrutinoside) from Brown-Red Spring Leaves of Acer macrophyllum and Begonia semperflorens Cultivars | 2 |
| 18 | Systematic Studies in the Genus Rosa | 9 |
| 19 | Activation of immune regulatory circuits among OKT4+ cells by autologous mixed lymphocyte reactions. | 37 |
| 20 | Poly galacturonase in tomato lycopersicon esculentum cultivar rutgers fruits and the induction of ripening | 40 |
About Yoshihiro Ueda
Yoshihiro Ueda is a scholar working on Immunology and Allergy, Immunology and Cell Biology, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (12 papers) and Cell Adhesion Molecules Research (9 papers). The work is most often cited by research in Immunology (1.3k citations), Immunology and Allergy (158 citations) and Cell Biology (304 citations). Yoshihiro Ueda has collaborated with scholars based in Japan, United States and Uruguay. Frequent co-authors include Garnett Kelsoe, Motonari Kondo, Tatsuo Kinashi, Kaiyong Yang, Tomoya Katakai, Koko Katagiri, N Kondo, Yasuhito Hamaguchi, Karen M. Haas and David J. DiLillo. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.
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.