Jun Akai
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
Papers in
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- Developmental Biology and Gene Regulation 3
- Ubiquitin and proteasome pathways 2
- Epigenetics and DNA Methylation 2
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- Cardiomyopathy and Myosin Studies 2
- Co-authors
- Kate G. Storey (4 shared papers)Akinori Kimura (9 shared papers)Ryu‐Ichiro Hata (4 shared papers)Kazuo Ueda (3 shared papers)J. Simon Lunn (1 shared paper)Mariana Delfino‐Machín (1 shared paper)Akira Kitabatake (1 shared paper)Naomasa Makita (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)Human Genetics (1 paper)Cell Biology International (1 paper)Cell (1 paper)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Jun Akai
13 papers receiving 454 citations
Peers
Comparison fields: 5 of 64
- Developmental Neuroscience 43
- Cardiology and Cardiovascular Medicine 135
- Molecular Biology 294
- Cell Biology 51
- Immunology 53
Countries citing papers authored by Jun Akai
This map shows the geographic impact of Jun Akai'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 Jun Akai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Akai more than expected).
Fields of papers citing papers by Jun Akai
This network shows the impact of papers produced by Jun Akai. 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 Jun Akai. The network helps show where Jun Akai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Akai, 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 | 2000 | 100 | |
| 2 | 2005 | 81 | |
| 3 | 2005 | 75 | |
| 4 | 2000 | 43 | |
| 5 | 1999 | 43 | |
| 6 | 1998 | 36 | |
| 7 | 2001 | 24 | |
| 8 | 2000 | 21 | |
| 9 | 2003 | 15 | |
| 10 | 2001 | 15 | |
| 11 | 1998 | 6 | |
| 12 | 2002 | 3 | |
| 13 | Fine Structural Analysis of the Unique 5' Region of the Human COL1A2 Gene Containing Two Regions of Dinucleotide Repeats Adjacent to the Transcriptional Start Site | 1998 | 2 |
About Jun Akai
Jun Akai is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Immunology, Biomaterials and Cell Biology, having authored 13 papers that have together received 464 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Epigenetics and DNA Methylation (2 papers), T-cell and B-cell Immunology (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Immune Cell Function and Interaction (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Developmental Neuroscience (43 citations), Cardiology and Cardiovascular Medicine (135 citations), Molecular Biology (294 citations), Cell Biology (51 citations) and Immunology (53 citations). Jun Akai has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Kate G. Storey, Akinori Kimura, Ryu‐Ichiro Hata, Kazuo Ueda, J. Simon Lunn, Mariana Delfino‐Machín, Akira Kitabatake, Naomasa Makita, Kiyoshi Nakazawa and Masayasu Hiraoka. Their work appears in journals such as Biochemical and Biophysical Research Communications, Gene, Human Genetics, Cell Biology International and Cell.
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.