T Nagaoki
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- T-cell and Retrovirus Studies
- Reproductive System and Pregnancy
Papers in
- Immunology 15
- T-cell and B-cell Immunology 11
- Immune Cell Function and Interaction 7
- Toxin Mechanisms and Immunotoxins 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Naoyuki TaniguchiTakeshi MiyawakiAkihiro YachieS OhzekiToshio MiyawakiT YokoiHiroaki SekiK Taga
In The Last Decade
T Nagaoki
23 papers receiving 582 citations
Peers
Comparison fields: 5 of 79
- Immunology 450
- Virology 23
- Radiology, Nuclear Medicine and Imaging 95
- Transplantation 11
- Microbiology 3
Countries citing papers authored by T Nagaoki
This map shows the geographic impact of T Nagaoki'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 Nagaoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Nagaoki more than expected).
Fields of papers citing papers by T Nagaoki
This network shows the impact of papers produced by T Nagaoki. 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 Nagaoki. The network helps show where T Nagaoki may publish in the future.
Co-authorship network
The 22 scholars most cited alongside T Nagaoki, 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 | 1985 | 11 | |
| 2 | Circadian changes of T lymphocyte subsets in human peripheral blood. | 1984 | 72 |
| 3 | 1983 | 87 | |
| 4 | 1982 | 36 | |
| 5 | 1982 | 65 | |
| 6 | 1982 | 22 | |
| 7 | 1982 | 3 | |
| 8 | 1982 | 18 | |
| 9 | 1981 | 4 | |
| 10 | 1981 | 21 | |
| 11 | 1981 | 72 | |
| 12 | 1981 | 19 | |
| 13 | Suppression of pokeweed mitogen-induced differentiation of human B cells by in vitro levamisole-treated T lymphocytes. | 1980 | 3 |
| 14 | 1980 | 17 | |
| 15 | 1979 | 23 | |
| 16 | 1978 | 9 | |
| 17 | 1977 | 1 | |
| 18 | 1977 | 35 | |
| 19 | 1976 | 11 | |
| 20 | Inhibitory effect of sheep erythrocyte fragments on rosette formation of human T lymphocytes with sheep red blood cells. | 1976 | 8 |
About T Nagaoki
T Nagaoki is a scholar working on Microbiology, Immunology, Biotechnology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 23 papers that have together received 668 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Transgenic Plants and Applications (4 papers), Toxin Mechanisms and Immunotoxins (3 papers), Immunotherapy and Immune Responses (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Synthesis and Biological Evaluation (2 papers). The work is most often cited by research in Immunology (450 citations), Virology (23 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Transplantation (11 citations) and Microbiology (3 citations). T Nagaoki has collaborated with scholars based in Japan and France. Frequent co-authors include Naoyuki Taniguchi, Takeshi Miyawaki, Akihiro Yachie, S Ohzeki, Toshio Miyawaki, T Yokoi, Hiroaki Seki, K Taga, Yujiro Suzuki and Eiji Kato. Their work appears in journals such as The Journal of Immunology, Scandinavian Journal of Immunology, Immunological Reviews, The Journal of Clinical Endocrinology & Metabolism 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.