Ken Ikeuchi
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- RNA regulation and disease
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- RNA and protein synthesis mechanisms 15
- RNA modifications and cancer 12
- RNA Research and Splicing 10
- Fungal and yeast genetics research 1
- Biochemical and Molecular Research 1
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- Viral Infections and Immunology Research 2
- Co-authors
- Toshifumi Inada (16 shared papers)Yoshitaka Matsuo (10 shared papers)Roland Beckmann (8 shared papers)Thomas Becker (7 shared papers)Yasushi Saeki (4 shared papers)Keiji Tanaka (3 shared papers)Takato Sugiyama (4 shared papers)Petr Těšina (4 shared papers)
- Journals
- Nature Communications (4 papers)Nucleic Acids Research (2 papers)The EMBO Journal (1 paper)Scientific Reports (1 paper)Science (1 paper)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Ken Ikeuchi
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 1.2k
- Cell Biology 156
- Structural Biology 9
- Oncology 131
- Cardiology and Cardiovascular Medicine 84
Countries citing papers authored by Ken Ikeuchi
This map shows the geographic impact of Ken Ikeuchi'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 Ken Ikeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Ikeuchi more than expected).
Fields of papers citing papers by Ken Ikeuchi
This network shows the impact of papers produced by Ken Ikeuchi. 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 Ken Ikeuchi. The network helps show where Ken Ikeuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Ikeuchi, 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 | 2017 | 229 | |
| 2 | 2019 | 216 | |
| 3 | 2020 | 208 | |
| 4 | 2020 | 171 | |
| 5 | 2020 | 105 | |
| 6 | 2019 | 73 | |
| 7 | 2019 | 58 | |
| 8 | 2016 | 50 | |
| 9 | 2013 | 46 | |
| 10 | 2023 | 38 | |
| 11 | 2022 | 27 | |
| 12 | 2000 | 23 | |
| 13 | 2015 | 23 | |
| 14 | 2022 | 16 | |
| 15 | 2021 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2025 | 0 |
About Ken Ikeuchi
Ken Ikeuchi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology, Neurology and Epidemiology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (15 papers), RNA modifications and cancer (12 papers), RNA Research and Splicing (10 papers), Viral Infections and Immunology Research (2 papers), Peptidase Inhibition and Analysis (2 papers), Genetics and Neurodevelopmental Disorders (1 paper), Fungal and yeast genetics research (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Molecular Biology (1.2k citations), Cell Biology (156 citations), Structural Biology (9 citations), Oncology (131 citations) and Cardiology and Cardiovascular Medicine (84 citations). Ken Ikeuchi has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Toshifumi Inada, Yoshitaka Matsuo, Roland Beckmann, Thomas Becker, Yasushi Saeki, Keiji Tanaka, Takato Sugiyama, Petr Těšina, Jingdong Cheng and Hikaru Tsuchiya. Their work appears in journals such as Nature Communications, Nucleic Acids Research, The EMBO Journal, Scientific Reports and Science.
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.