Ai Kaiho
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
-
- Ubiquitin and proteasome pathways 6
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Molecular Biology Techniques and Applications 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
-
- Autophagy in Disease and Therapy 3
- Co-authors
- Yasushi Saeki (7 shared papers)Keiji Tanaka (6 shared papers)Hikaru Tsuchiya (4 shared papers)Fumiaki Ohtake (3 shared papers)Naoko Arai (3 shared papers)Mutsumi Kanamori-Katayama (5 shared papers)Alistair R. R. Forrest (5 shared papers)Sayaka Yasuda (2 shared papers)
- Journals
- Nature Communications (2 papers)Genome Research (2 papers)PLoS ONE (2 papers)Gene (1 paper)Biologicals (1 paper)
- Partner nations
- JapanGermanyUnited Kingdom
In The Last Decade
Ai Kaiho
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Cancer Research 273
- Molecular Biology 914
- Cell Biology 203
- Epidemiology 179
- Immunology 88
Countries citing papers authored by Ai Kaiho
This map shows the geographic impact of Ai Kaiho'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 Ai Kaiho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Kaiho more than expected).
Fields of papers citing papers by Ai Kaiho
This network shows the impact of papers produced by Ai Kaiho. 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 Ai Kaiho. The network helps show where Ai Kaiho may publish in the future.
Co-authors
The 25 scholars most cited alongside Ai Kaiho, 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 | 2009 | 220 | |
| 2 | 2020 | 208 | |
| 3 | 2011 | 127 | |
| 4 | 2017 | 118 | |
| 5 | 2014 | 96 | |
| 6 | 2014 | 68 | |
| 7 | 2011 | 63 | |
| 8 | 2017 | 61 | |
| 9 | 2018 | 55 | |
| 10 | 2014 | 24 | |
| 11 | 2012 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2008 | 13 | |
| 14 | 2008 | 10 |
About Ai Kaiho
Ai Kaiho is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Molecular Biology Techniques and Applications (3 papers), Autophagy in Disease and Therapy (3 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cancer Research (273 citations), Molecular Biology (914 citations), Cell Biology (203 citations), Epidemiology (179 citations) and Immunology (88 citations). Ai Kaiho has collaborated with scholars based in Japan, Germany and United Kingdom. Frequent co-authors include Yasushi Saeki, Keiji Tanaka, Hikaru Tsuchiya, Fumiaki Ohtake, Naoko Arai, Mutsumi Kanamori-Katayama, Alistair R. R. Forrest, Sayaka Yasuda, Timo Lassmann and Shigeo Murata. Their work appears in journals such as Nature Communications, Genome Research, PLoS ONE, Gene and Biologicals.
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.