Daisuke Nishimiya
Impact in
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- Immunotherapy and Immune Responses
Papers in
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- Transgenic Plants and Applications 3
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- Viral Infectious Diseases and Gene Expression in Insects 4
- CRISPR and Genetic Engineering 2
- Biochemical and Structural Characterization 2
- Co-authors
- Tohru Takahashi (2 shared papers)Hiroko Yoshida (1 shared paper)Kenji Miyadai (1 shared paper)Takashi Mano (1 shared paper)Ken‐ichi Nishijima (3 shared papers)K. Christopher García (2 shared papers)Kevin M. Jude (2 shared papers)Shinji Iijima (3 shared papers)
- Journals
- Applied Microbiology and Biotechnology (3 papers)Science (1 paper)Nature Biotechnology (1 paper)Bioscience Biotechnology and Biochemistry (1 paper)Immunity (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Daisuke Nishimiya
12 papers receiving 307 citations
Peers
Comparison fields: 5 of 55
- Immunology 95
- Biotechnology 30
- Oncology 85
- Radiology, Nuclear Medicine and Imaging 59
- Molecular Biology 187
Countries citing papers authored by Daisuke Nishimiya
This map shows the geographic impact of Daisuke Nishimiya'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 Daisuke Nishimiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nishimiya more than expected).
Fields of papers citing papers by Daisuke Nishimiya
This network shows the impact of papers produced by Daisuke Nishimiya. 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 Daisuke Nishimiya. The network helps show where Daisuke Nishimiya may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Nishimiya, 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 | 2021 | 98 | |
| 2 | 2012 | 40 | |
| 3 | 2023 | 39 | |
| 4 | 2008 | 38 | |
| 5 | 2023 | 21 | |
| 6 | 2013 | 20 | |
| 7 | 2020 | 17 | |
| 8 | 2011 | 16 | |
| 9 | 2020 | 8 | |
| 10 | 2012 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2006 | 5 |
About Daisuke Nishimiya
Daisuke Nishimiya is a scholar working on Biotechnology, Molecular Biology, Immunology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 316 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Transgenic Plants and Applications (3 papers), Animal Genetics and Reproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Biochemical and Structural Characterization (2 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Immunology (95 citations), Biotechnology (30 citations), Oncology (85 citations), Radiology, Nuclear Medicine and Imaging (59 citations) and Molecular Biology (187 citations). Daisuke Nishimiya has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Tohru Takahashi, Hiroko Yoshida, Kenji Miyadai, Takashi Mano, Ken‐ichi Nishijima, K. Christopher García, Kevin M. Jude, Shinji Iijima, Marta Borowska and Christina S. Savvides. Their work appears in journals such as Applied Microbiology and Biotechnology, Science, Nature Biotechnology, Bioscience Biotechnology and Biochemistry and Immunity.
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.