Akio Ito
Impact in
- Pharmacology top 0.2%
- Pharmacogenetics and Drug Metabolism
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
Papers in
-
- Mitochondrial Function and Pathology 24
- Oncology 25
- Peptidase Inhibition and Analysis 20
- Co-authors
- Yoshio Imai (1 shared paper)Ryo Sato (1 shared paper)Tsuneo Omura (17 shared papers)Sakae Kitada (21 shared papers)Tadashi Ogishima (15 shared papers)Y Ogawa (4 shared papers)H Yukaya (4 shared papers)Naofumi Nagasue (4 shared papers)
- Journals
- The Journal of Biochemistry (45 papers)Journal of Biological Chemistry (16 papers)Biochemical and Biophysical Research Communications (7 papers)Applied Physics Letters (6 papers)Optics Express (4 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Akio Ito
159 papers receiving 5.1k citations
Akio Ito's Hit Papers
Peers
Comparison fields: 5 of 139
- Pharmacology 835
- Clinical Biochemistry 433
- Biochemistry 439
- Molecular Biology 2.9k
- Cell Biology 565
Countries citing papers authored by Akio Ito
This map shows the geographic impact of Akio Ito'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 Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akio Ito more than expected).
Fields of papers citing papers by Akio Ito
This network shows the impact of papers produced by Akio Ito. 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 Ito. The network helps show where Akio Ito may publish in the future.
Co-authors
The 25 scholars most cited alongside Akio Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 171 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evidence for Biochemically Different Types of Vesicles in the Hepatic Microsomal Fraction* Hit paper breakdown → | 1966 | 705 |
| 2 | 2001 | 207 | |
| 3 | 2004 | 182 | |
| 4 | 1969 | 129 | |
| 5 | 1978 | 127 | |
| 6 | 1989 | 125 | |
| 7 | 1985 | 125 | |
| 8 | 1986 | 110 | |
| 9 | 2004 | 101 | |
| 10 | 1992 | 99 | |
| 11 | 1978 | 97 | |
| 12 | 1998 | 94 | |
| 13 | 1983 | 91 | |
| 14 | 2008 | 89 | |
| 15 | 1992 | 82 | |
| 16 | 1981 | 79 | |
| 17 | 1997 | 78 | |
| 18 | 2000 | 74 | |
| 19 | 1985 | 71 | |
| 20 | 2017 | 69 |
About Akio Ito
Akio Ito is a scholar working on Molecular Biology, Oncology, Spectroscopy, Electrical and Electronic Engineering and Biochemistry, having authored 171 papers that have together received 5.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (24 papers), Spectroscopy and Laser Applications (21 papers), Peptidase Inhibition and Analysis (20 papers), Atmospheric Ozone and Climate (14 papers), Metabolism and Genetic Disorders (13 papers), Terahertz technology and applications (12 papers), Folate and B Vitamins Research (9 papers) and Amino Acid Enzymes and Metabolism (9 papers). The work is most often cited by research in Pharmacology (835 citations), Clinical Biochemistry (433 citations), Biochemistry (439 citations), Molecular Biology (2.9k citations) and Cell Biology (565 citations). Akio Ito has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yoshio Imai, Ryo Sato, Tsuneo Omura, Sakae Kitada, Tadashi Ogishima, Y Ogawa, H Yukaya, Naofumi Nagasue, Ryo Sato and Kazuue Fujita. Their work appears in journals such as The Journal of Biochemistry, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Applied Physics Letters and Optics Express.
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.