Kei Iida
Impact in
- Immunology and Allergy top 1%
- Immunology top 1%
- Complement system in diseases
Papers in
- Immunology 25
- Complement system in diseases 9
-
- RNA Research and Splicing 23
- RNA modifications and cancer 14
- RNA and protein synthesis mechanisms 13
- Plant Gene Expression Analysis 7
- Co-authors
- Victor NussenzweigIchiro YaharaEisuke NishidaHikoichi SakaiNaoto YonezawaJian‐Kang ZhuYouko OonoPaul A. Janmey
- Journals
- The Journal of Experimental Medicine (9 papers)Proceedings of the National Academy of Sciences (8 papers)Journal of Biological Chemistry (6 papers)Clinical & Experimental Immunology (4 papers)Plant and Cell Physiology (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kei Iida
112 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Immunology and Allergy 483
- Immunology 1.7k
- Cell Biology 995
- Hematology 643
- Molecular Biology 3.7k
Countries citing papers authored by Kei Iida
This map shows the geographic impact of Kei 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 Kei Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Iida more than expected).
Fields of papers citing papers by Kei Iida
This network shows the impact of papers produced by Kei 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 Kei Iida. The network helps show where Kei Iida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kei 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 21 | |
| 8 | The Role of Interleukin-6 and Interleukin-6 Receptor as Prognostic Biomarkers in Prostate Cancer | 2016 | 2 |
| 9 | 2016 | 5 | |
| 10 | Analyses of string current and loss in blocking diodes in PV power system | 2016 | 4 |
| 11 | 2014 | 66 | |
| 12 | 2009 | 16 | |
| 13 | [Arabidopsis functional genomics using full-length cDNAs]. | 2003 | 1 |
| 14 | 1997 | 153 | |
| 15 | 1995 | 13 | |
| 16 | 1989 | 45 | |
| 17 | 1983 | 46 | |
| 18 | 1983 | 198 | |
| 19 | 1982 | 276 | |
| 20 | 1982 | 265 |
About Kei Iida
Kei Iida is a scholar working on Immunology, Molecular Biology, Internal Medicine, Cell Biology and Virology, having authored 122 papers that have together received 7.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (23 papers), RNA modifications and cancer (14 papers), RNA and protein synthesis mechanisms (13 papers), Plant Molecular Biology Research (10 papers), Complement system in diseases (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Plant Gene Expression Analysis (7 papers) and Cellular Mechanics and Interactions (6 papers). The work is most often cited by research in Immunology and Allergy (483 citations), Immunology (1.7k citations), Cell Biology (995 citations), Hematology (643 citations) and Molecular Biology (3.7k citations). Kei Iida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Victor Nussenzweig, Ichiro Yahara, Eisuke Nishida, Hikoichi Sakai, Naoto Yonezawa, Jian‐Kang Zhu, Youko Oono, Paul A. Janmey, H L Yin and Jianhua Zhu. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Clinical & Experimental Immunology and Plant and Cell Physiology.
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.