Yuichi Iida
Impact in
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- Cancer Immunotherapy and Biomarkers
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- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
Papers in
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- RNA Interference and Gene Delivery 6
- CRISPR and Genetic Engineering 5
- Oncology 12
- Cancer Immunotherapy and Biomarkers 5
- Cancer-related Molecular Pathways 5
- Co-authors
- Mamoru Harada (18 shared papers)Hitoshi Kotani (15 shared papers)Mitsuo Oshimura (9 shared papers)Ryosuke Tanino (8 shared papers)Tamio Okimoto (5 shared papers)Yasuhiro Kazuki (8 shared papers)Natalay Kouprina (4 shared papers)William C. Earnshaw (3 shared papers)
- Journals
- Cancer Science (6 papers)ACS Synthetic Biology (3 papers)Scientific Reports (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Drug Metabolism and Pharmacokinetics (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yuichi Iida
31 papers receiving 609 citations
Peers
Comparison fields: 5 of 75
- Oncology 170
- Molecular Biology 388
- Immunology 117
- Cancer Research 68
- Genetics 104
Countries citing papers authored by Yuichi Iida
This map shows the geographic impact of Yuichi Iida'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 Yuichi Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Iida more than expected).
Fields of papers citing papers by Yuichi Iida
This network shows the impact of papers produced by Yuichi Iida. 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 Yuichi Iida. The network helps show where Yuichi Iida may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Iida, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 65 | |
| 2 | 2018 | 61 | |
| 3 | 2010 | 59 | |
| 4 | 2012 | 57 | |
| 5 | 2012 | 45 | |
| 6 | 2017 | 40 | |
| 7 | 2020 | 39 | |
| 8 | 2019 | 31 | |
| 9 | 2018 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2020 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2011 | 18 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 12 | |
| 17 | 2022 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 1991 | 5 | |
| 20 | 2022 | 5 |
About Yuichi Iida
Yuichi Iida is a scholar working on Molecular Biology, Oncology, Immunology, Genetics and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 619 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), CRISPR and Genetic Engineering (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Cancer-related Molecular Pathways (5 papers), Immune cells in cancer (5 papers), Telomeres, Telomerase, and Senescence (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Oncology (170 citations), Molecular Biology (388 citations), Immunology (117 citations), Cancer Research (68 citations) and Genetics (104 citations). Yuichi Iida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mamoru Harada, Hitoshi Kotani, Mitsuo Oshimura, Ryosuke Tanino, Tamio Okimoto, Yasuhiro Kazuki, Natalay Kouprina, William C. Earnshaw, Touko Inao and Indri Erliandri. Their work appears in journals such as Cancer Science, ACS Synthetic Biology, Scientific Reports, Journal for ImmunoTherapy of Cancer and Drug Metabolism and Pharmacokinetics.
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.