Jun Akai
Impact in
-
- Cardiac electrophysiology and arrhythmias
- Cardiomyopathy and Myosin Studies
- Cardiovascular Effects of Exercise
Papers in
-
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Mast cells and histamine 1
-
- Developmental Biology and Gene Regulation 2
- Ubiquitin and proteasome pathways 2
- Co-authors
- Akinori Kimura (9 shared papers)Kate G. Storey (3 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)Harumizu Sakurada (1 shared paper)N. Makita (1 shared paper)
- Journals
- Human Genetics (1 paper)Cell (1 paper)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)FEBS Letters (1 paper)
- Partner nations
- JapanUnited Kingdom
In The Last Decade
Jun Akai
12 papers receiving 391 citations
Peers
Comparison fields: 5 of 59
- Cardiology and Cardiovascular Medicine 151
- Developmental Neuroscience 22
- Molecular Biology 239
- Immunology 54
- Cell Biology 34
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 | 111 | |
| 2 | 2005 | 78 | |
| 3 | 2000 | 48 | |
| 4 | 1999 | 44 | |
| 5 | 1998 | 39 | |
| 6 | 2001 | 24 | |
| 7 | 2000 | 22 | |
| 8 | 2001 | 18 | |
| 9 | 2003 | 16 | |
| 10 | 1998 | 6 | |
| 11 | 2002 | 3 | |
| 12 | 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 Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine, Biomaterials and Cell Biology, having authored 12 papers that have together received 411 indexed citations. Recurring topics across this work include Collagen: Extraction and Characterization (2 papers), T-cell and B-cell Immunology (2 papers), Cellular Mechanics and Interactions (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Developmental Biology and Gene Regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), Immune Cell Function and Interaction (2 papers) and Mast cells and histamine (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (151 citations), Developmental Neuroscience (22 citations), Molecular Biology (239 citations), Immunology (54 citations) and Cell Biology (34 citations). Jun Akai has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Akinori Kimura, Kate G. Storey, Ryu‐Ichiro Hata, Kazuo Ueda, J. Simon Lunn, Mariana Delfino‐Machín, Harumizu Sakurada, N. Makita, Akira Kitabatake and Kiyoshi Nakazawa. Their work appears in journals such as Human Genetics, Cell, Biochemical and Biophysical Research Communications, Gene and FEBS 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.