T Kaieda
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Immunodeficiency and Autoimmune Disorders 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Tadamitsu Kishimoto (5 shared papers)Yasuhisa Yamamura (4 shared papers)Kazuyuki Yoshizaki (3 shared papers)Atsushi Muraguchi (2 shared papers)Yukio Miki (1 shared paper)Taro Kuritani (1 shared paper)Takemasa Nakagawa (1 shared paper)S Kishimoto (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Proceedings of the National Academy of Sciences (2 papers)Gastroenterologia Japonica (1 paper)PubMed (1 paper)
- Partner nations
- Japan
In The Last Decade
T Kaieda
8 papers receiving 492 citations
Peers
Comparison fields: 5 of 60
- Immunology 410
- Radiology, Nuclear Medicine and Imaging 187
- Genetics 71
- Hepatology 41
- Hematology 48
Countries citing papers authored by T Kaieda
This map shows the geographic impact of T Kaieda'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 T Kaieda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kaieda more than expected).
Fields of papers citing papers by T Kaieda
This network shows the impact of papers produced by T Kaieda. 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 T Kaieda. The network helps show where T Kaieda may publish in the future.
Co-authors
The 25 scholars most cited alongside T Kaieda, 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 | 1981 | 196 | |
| 2 | 1982 | 162 | |
| 3 | 1983 | 90 | |
| 4 | 1981 | 52 | |
| 5 | 1989 | 37 | |
| 6 | 1982 | 27 | |
| 7 | Identification of a tumor-associated target antigen, ATM-1, for a human T-cell clone with activated killer activity and its existence in sera of cancer patients. | 1988 | 3 |
| 8 | 1990 | 3 |
About T Kaieda
T Kaieda is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Animal Science and Zoology, having authored 8 papers that have together received 570 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Hepatitis B Virus Studies (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Hepatitis C virus research (1 paper), Protein purification and stability (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (410 citations), Radiology, Nuclear Medicine and Imaging (187 citations), Genetics (71 citations), Hepatology (41 citations) and Hematology (48 citations). T Kaieda has collaborated with scholars based in Japan. Frequent co-authors include Tadamitsu Kishimoto, Yasuhisa Yamamura, Kazuyuki Yoshizaki, Atsushi Muraguchi, Yukio Miki, Taro Kuritani, Takemasa Nakagawa, S Kishimoto, Masaji Okada and Kiyoshi Fukunaga. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Gastroenterologia Japonica and PubMed.
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.