Tatsuya Anzai
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Microbiology top 10%
- Microbial infections and disease research
Papers in
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- Pluripotent Stem Cells Research 4
- CRISPR and Genetic Engineering 3
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 2
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- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
- Co-authors
- Hidetoshi Inoko (7 shared papers)Hideki Uosaki (7 shared papers)Takashi Shiina (3 shared papers)Nawin Chanthra (5 shared papers)Jerzy K. Kulski (3 shared papers)Sakae Kohara (1 shared paper)K Sano (2 shared papers)Hisako Kawata (3 shared papers)
In The Last Decade
Tatsuya Anzai
19 papers receiving 670 citations
Peers
Comparison fields: 5 of 81
- Immunology 284
- Microbiology 54
- Virology 24
- Molecular Biology 265
- Agronomy and Crop Science 39
Countries citing papers authored by Tatsuya Anzai
This map shows the geographic impact of Tatsuya Anzai'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 Tatsuya Anzai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Anzai more than expected).
Fields of papers citing papers by Tatsuya Anzai
This network shows the impact of papers produced by Tatsuya Anzai. 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 Tatsuya Anzai. The network helps show where Tatsuya Anzai may publish in the future.
Co-authors
The 25 scholars most cited alongside Tatsuya Anzai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 194 | |
| 2 | 2020 | 170 | |
| 3 | 2005 | 58 | |
| 4 | 2005 | 48 | |
| 5 | 2003 | 47 | |
| 6 | 2006 | 28 | |
| 7 | 2022 | 27 | |
| 8 | 1999 | 23 | |
| 9 | 2020 | 19 | |
| 10 | 2005 | 18 | |
| 11 | 1999 | 16 | |
| 12 | 1999 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 1 | |
| 19 | [Rapidly enlarging giant left ventricular pseudo-false aneurysm after myocardial infarction; report of a case]. | 2006 | 1 |
| 20 | 2023 | 0 |
About Tatsuya Anzai
Tatsuya Anzai is a scholar working on Molecular Biology, Immunology, Genetics, Surgery and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 682 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Immune Cell Function and Interaction (3 papers), Cardiomyopathy and Myosin Studies (2 papers), RNA Research and Splicing (2 papers), Molecular Biology Techniques and Applications (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (284 citations), Microbiology (54 citations), Virology (24 citations), Molecular Biology (265 citations) and Agronomy and Crop Science (39 citations). Tatsuya Anzai has collaborated with scholars based in Japan and Australia. Frequent co-authors include Hidetoshi Inoko, Hideki Uosaki, Takashi Shiina, Nawin Chanthra, Jerzy K. Kulski, Sakae Kohara, K Sano, Hisako Kawata, Asako Ando and Kaoru Fukami-Kobayashi. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Immunogenetics, Xenotransplantation, Journal of Autism and Developmental Disorders and Circulation.
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.