S Takada
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Rheumatology top 10%
- Molecular Biology
- Oncology
- Co-authors
- Edgar G. EnglemanTsuyoshi SakaneYohko MurakawaNoboru SuzukiJ KoideHiroaki KotaniYoshihiro UedaA Rivas
- Topics
- T-cell and B-cell Immunology (10 papers)Immune Cell Function and Interaction (10 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited States
In The Last Decade
S Takada
15 papers receiving 481 citations
Peers
Comparison fields: 5 of 69
- Immunology 397
- Radiology, Nuclear Medicine and Imaging 151
- Rheumatology 125
- Molecular Biology 54
- Oncology 47
Countries citing papers authored by S Takada
This map shows the geographic impact of S Takada'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 S Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Takada more than expected).
Fields of papers citing papers by S Takada
This network shows the impact of papers produced by S Takada. 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 S Takada. The network helps show where S Takada may publish in the future.
Co-authorship network of co-authors of S Takada
This figure shows the co-authorship network connecting the top 25 collaborators of S Takada. A scholar is included among the top collaborators of S Takada 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 S Takada. S Takada 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | Possible involvement of the CD4 molecule in a late activation event on CD4+ T cell proliferation in the human autologous mixed lymphocyte reaction. | 9 |
| 6 | 22 | |
| 7 | 87 | |
| 8 | 74 | |
| 9 | 44 | |
| 10 | 14 | |
| 11 | 96 | |
| 12 | Activation of immune regulatory circuits among OKT4+ cells by autologous mixed lymphocyte reactions. | 37 |
| 13 | 23 | |
| 14 | [Defects in immunoregulatory circuits activated by concanavalin A in patients with Behçet's disease]. | 1 |
| 15 | 64 | |
| 16 | 35 | |
| 17 | [T cell functions in rheumatic diseases]. | 2 |
About S Takada
S Takada is a scholar working on Immunology, Rheumatology and Dermatology, having authored 17 papers that have together received 516 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Immune Cell Function and Interaction (10 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (397 citations), Rheumatology (125 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). S Takada has collaborated with scholars based in Japan and United States. Frequent co-authors include Edgar G. Engleman, Tsuyoshi Sakane, Yohko Murakawa, Noboru Suzuki, J Koide, Hiroaki Kotani, Yoshihiro Ueda, A Rivas, Yutaka Ueda and Takashi Hoshino. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.