Koji Okamoto
- Molecular Biology top 2%
- Epidemiology top 0.5%
- Cell Biology top 1%
- Physiology top 5%
- Neurology top 5%
- Co-authors
- Noriko Kondo‐OkamotoYoshinori OhsumiAkinori EiyamaMashun OnishiNoriyuki MatsudaMiyuki SatoKoji YamanoKaori Sakakibara
- Topics
- Autophagy in Disease and Therapy (28 papers)Mitochondrial Function and Pathology (18 papers)Endoplasmic Reticulum Stress and Disease (11 papers)
- Journals
- Journal of Biological ChemistryAngewandte Chemie International EditionNature Communications
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Koji Okamoto
64 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.9k
- Epidemiology 2.6k
- Cell Biology 780
- Physiology 546
- Neurology 434
Countries citing papers authored by Koji Okamoto
This map shows the geographic impact of Koji Okamoto'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 Koji Okamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Okamoto more than expected).
Fields of papers citing papers by Koji Okamoto
This network shows the impact of papers produced by Koji Okamoto. 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 Koji Okamoto. The network helps show where Koji Okamoto may publish in the future.
Co-authorship network of co-authors of Koji Okamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Okamoto. A scholar is included among the top collaborators of Koji Okamoto 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 Koji Okamoto. Koji Okamoto 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 | Molecular mechanisms and physiological functions of mitophagybreakdown → | 932 |
| 5 | 14 | |
| 6 | 16 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 184 | |
| 10 | 36 | |
| 11 | 30 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 39 | |
| 15 | Mitochondria-Anchored Receptor Atg32 Mediates Degradation of Mitochondria via Selective Autophagybreakdown → | 698 |
| 16 | 63 | |
| 17 | 4 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | Antitumor activity of platinum (II) complexes of 1-amino-2-aminomethylcyclohexane isomers. | 2 |
About Koji Okamoto
Koji Okamoto is a scholar working on Cell Biology, Geriatrics and Gerontology and Epidemiology, having authored 65 papers that have together received 4.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (28 papers), Mitochondrial Function and Pathology (18 papers) and Endoplasmic Reticulum Stress and Disease (11 papers). The work is most often cited by research in Epidemiology (2.6k citations), Geriatrics and Gerontology (218 citations) and Physiology (239 citations). Koji Okamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Noriko Kondo‐Okamoto, Yoshinori Ohsumi, Akinori Eiyama, Mashun Onishi, Noriyuki Matsuda, Miyuki Sato, Koji Yamano, Kaori Sakakibara, Lei Liu and Quan Chen. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition 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.