Kimio Akagawa
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Colin J. BarnstableTomonori FujiwaraAkihiro InoueRaphael HofsteinTatsuya MishimaKeiko ObataTakefumi KofujiKeiichi Uyemura
- Topics
- Cellular transport and secretion (57 papers)Neuroscience and Neuropharmacology Research (27 papers)Lipid Membrane Structure and Behavior (20 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Kimio Akagawa
96 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.8k
- Cell Biology 1.3k
- Cellular and Molecular Neuroscience 893
- Physiology 491
- Surgery 436
Countries citing papers authored by Kimio Akagawa
This map shows the geographic impact of Kimio Akagawa'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 Kimio Akagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimio Akagawa more than expected).
Fields of papers citing papers by Kimio Akagawa
This network shows the impact of papers produced by Kimio Akagawa. 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 Kimio Akagawa. The network helps show where Kimio Akagawa may publish in the future.
Co-authorship network of co-authors of Kimio Akagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Kimio Akagawa. A scholar is included among the top collaborators of Kimio Akagawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimio Akagawa. Kimio Akagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 12 | |
| 12 | 34 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 80 | |
| 16 | 13 | |
| 17 | 14 | |
| 18 | Distribution of the HPC-1 antigen during development of the rat cerebellar cortex | 1 |
| 19 | 2 | |
| 20 | 49 |
About Kimio Akagawa
Kimio Akagawa is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 96 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cellular transport and secretion (57 papers), Neuroscience and Neuropharmacology Research (27 papers) and Lipid Membrane Structure and Behavior (20 papers). The work is most often cited by research in Cell Biology (1.3k citations), Cellular and Molecular Neuroscience (893 citations) and Physiology (168 citations). Kimio Akagawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Colin J. Barnstable, Tomonori Fujiwara, Akihiro Inoue, Raphael Hofstein, Tatsuya Mishima, Keiko Obata, Takefumi Kofuji, Keiichi Uyemura, Takehiko Iijima and Yasuhide Iwao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.