Akio Kihara
- Molecular Biology top 0.5%
- Cell Biology top 0.2%
- Epidemiology top 1%
- Physiology top 1%
- Biochemistry top 0.1%
- Co-authors
- Yasuyuki IgarashiYoshinori OhsumiYusuke OhnoYukiko MizutaniTakayuki SassaKoreaki ItoTakeshi NodaNaotada Ishihara
- Topics
- Sphingolipid Metabolism and Signaling (68 papers)Lipid Membrane Structure and Behavior (41 papers)Cellular transport and secretion (37 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Akio Kihara
164 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 7.5k
- Cell Biology 3.1k
- Epidemiology 1.9k
- Physiology 1.3k
- Biochemistry 1.3k
Countries citing papers authored by Akio Kihara
This map shows the geographic impact of Akio Kihara'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 Akio Kihara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Kihara more than expected).
Fields of papers citing papers by Akio Kihara
This network shows the impact of papers produced by Akio Kihara. 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 Akio Kihara. The network helps show where Akio Kihara may publish in the future.
Co-authorship network of co-authors of Akio Kihara
This figure shows the co-authorship network connecting the top 25 collaborators of Akio Kihara. A scholar is included among the top collaborators of Akio Kihara 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 Akio Kihara. Akio Kihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 61 | |
| 8 | 10 | |
| 9 | 17 | |
| 10 | 42 | |
| 11 | 39 | |
| 12 | 33 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 37 | |
| 16 | 27 | |
| 17 | Hetero-oligomeric interactions of an ELOVL4 mutant protein: implications in the molecular mechanism of Stargardt-3 macular dystrophy. | 23 |
| 18 | 35 | |
| 19 | 68 | |
| 20 | 56 |
About Akio Kihara
Akio Kihara is a scholar working on Biochemistry, Cell Biology and Pharmaceutical Science, having authored 168 papers that have together received 10.6k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (68 papers), Lipid Membrane Structure and Behavior (41 papers) and Cellular transport and secretion (37 papers). The work is most often cited by research in Cell Biology (3.1k citations), Biochemistry (1.3k citations) and Molecular Biology (7.5k citations). Akio Kihara has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yasuyuki Igarashi, Yoshinori Ohsumi, Yusuke Ohno, Yukiko Mizutani, Takayuki Sassa, Koreaki Ito, Takeshi Noda, Naotada Ishihara, Yoshinori Akiyama and Tamotsu Yoshimori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.