Sei Kameoka
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- DNA Repair Mechanisms
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- Neuroscience and Neural Engineering
Papers in
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- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 3
- RNA and protein synthesis mechanisms 2
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- Cardiac electrophysiology and arrhythmias 1
- Co-authors
- Maria M. Konarska (2 shared papers)Paula Duque (1 shared paper)Eric Chiao (4 shared papers)Joshua Babiarz (3 shared papers)Kyle L. Kolaja (3 shared papers)Rory Abrams (2 shared papers)Jennifer D. Cohen (2 shared papers)Romain Koszul (2 shared papers)
- Journals
- Toxicological Sciences (2 papers)The EMBO Journal (2 papers)mAbs (1 paper)Genes & Development (1 paper)Cancer Letters (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Sei Kameoka
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 801
- Cellular and Molecular Neuroscience 166
- Cardiology and Cardiovascular Medicine 144
- Developmental Neuroscience 25
- Aging 10
Countries citing papers authored by Sei Kameoka
This map shows the geographic impact of Sei Kameoka'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 Sei Kameoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sei Kameoka more than expected).
Fields of papers citing papers by Sei Kameoka
This network shows the impact of papers produced by Sei Kameoka. 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 Sei Kameoka. The network helps show where Sei Kameoka may publish in the future.
Co-authors
The 25 scholars most cited alongside Sei Kameoka, 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 | 2011 | 218 | |
| 2 | 2008 | 165 | |
| 3 | 2004 | 158 | |
| 4 | 1999 | 87 | |
| 5 | 2004 | 87 | |
| 6 | 2004 | 79 | |
| 7 | 2011 | 64 | |
| 8 | 2004 | 60 | |
| 9 | 2016 | 52 | |
| 10 | 2013 | 50 | |
| 11 | 2009 | 6 | |
| 12 | 2020 | 3 |
About Sei Kameoka
Sei Kameoka is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Biomedical Engineering and Surgery, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), Pluripotent Stem Cells Research (3 papers), RNA and protein synthesis mechanisms (2 papers), 3D Printing in Biomedical Research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Pancreatic function and diabetes (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Molecular Biology (801 citations), Cellular and Molecular Neuroscience (166 citations), Cardiology and Cardiovascular Medicine (144 citations), Developmental Neuroscience (25 citations) and Aging (10 citations). Sei Kameoka has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Maria M. Konarska, Paula Duque, Eric Chiao, Joshua Babiarz, Kyle L. Kolaja, Rory Abrams, Jennifer D. Cohen, Romain Koszul, Nancy Kleckner and Keun Pil Kim. Their work appears in journals such as Toxicological Sciences, The EMBO Journal, mAbs, Genes & Development and Cancer Letters.
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.