Tadayoshi Taniyama
- Immunology top 10%
- Molecular Biology
- Oncology
- Epidemiology
- Biotechnology top 10%
- Co-authors
- Howard T. HoldenIchiro AzumaYuichi YamamuraKazuhisa SugimuraTatsuo SudaTadamitsu KishimotoKikuo OnozakiToshio Hirano
- Topics
- Monoclonal and Polyclonal Antibodies Research (6 papers)Immunotherapy and Immune Responses (5 papers)Immune Cell Function and Interaction (4 papers)
- Cited by
- MicrobiologyImmunologyOncology
- Partner nations
- JapanUnited StatesDenmark
In The Last Decade
Tadayoshi Taniyama
31 papers receiving 668 citations
Peers
Comparison fields: 5 of 87
- Immunology 310
- Molecular Biology 251
- Oncology 179
- Epidemiology 79
- Biotechnology 56
Countries citing papers authored by Tadayoshi Taniyama
This map shows the geographic impact of Tadayoshi Taniyama'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 Tadayoshi Taniyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadayoshi Taniyama more than expected).
Fields of papers citing papers by Tadayoshi Taniyama
This network shows the impact of papers produced by Tadayoshi Taniyama. 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 Tadayoshi Taniyama. The network helps show where Tadayoshi Taniyama may publish in the future.
Co-authorship network of co-authors of Tadayoshi Taniyama
This figure shows the co-authorship network connecting the top 25 collaborators of Tadayoshi Taniyama. A scholar is included among the top collaborators of Tadayoshi Taniyama 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 Tadayoshi Taniyama. Tadayoshi Taniyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 24 | |
| 3 | 24 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | [Macrophage activating factor (MAF)]. | 2 |
| 8 | 17 | |
| 9 | 140 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 78 | |
| 14 | Adjuvant and antitumor activities of Nocardia cell-wall skeletons. | 52 |
| 15 | 24 | |
| 16 | 17 | |
| 17 | 22 | |
| 18 | Effect of cell-wall skeleton of Mycobacterium bovis BCG on cell-mediated cytotoxicity in tumor-bearing mice. | 7 |
| 19 | Suppression of tumor growth and regression of established tumor with oil-attached mycobacterial fractions. | 11 |
| 20 | Antitumor activity of cell-wall skeletons and peptidoglycolipids of mycobacteria and related microörganisms in mice and rabbits. | 28 |
About Tadayoshi Taniyama
Tadayoshi Taniyama is a scholar working on Microbiology, Immunology and Toxicology, having authored 31 papers that have together received 739 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Microbiology (34 citations), Immunology (310 citations) and Oncology (179 citations). Tadayoshi Taniyama has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Howard T. Holden, Ichiro Azuma, Yuichi Yamamura, Kazuhisa Sugimura, Tatsuo Suda, Tadamitsu Kishimoto, Kikuo Onozaki, Toshio Hirano, Yukio Akiyama and Chisato Miyaura. Their work appears in journals such as Blood, The Journal of Immunology and FEBS Letters.
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.