Kosuke Saito
Impact in
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Metabolomics and Mass Spectrometry Studies
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
Papers in
- Pharmacology 17
- Pharmacogenetics and Drug Metabolism 9
- Pharmacy and Medical Practices 7
- Co-authors
- Yoshiro SaitoKeiko MaekawaMasaki IshikawaMotoi OishiMasayoshi SomaNoboru FukudaYuji KumagaiKan Chiba
- Journals
- PLoS ONE (6 papers)Bioanalysis (5 papers)Scientific Reports (4 papers)Drug Metabolism and Pharmacokinetics (4 papers)Hypertension Research (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kosuke Saito
144 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 153
- Cancer Research 225
- Molecular Biology 947
- Neurology 113
- Biochemistry 99
- Pharmacology 114
Countries citing papers authored by Kosuke Saito
This map shows the geographic impact of Kosuke Saito'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 Kosuke Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Saito more than expected).
Fields of papers citing papers by Kosuke Saito
This network shows the impact of papers produced by Kosuke Saito. 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 Kosuke Saito. The network helps show where Kosuke Saito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kosuke Saito, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 12 | |
| 9 | 2019 | 31 | |
| 10 | 2019 | 5 | |
| 11 | 2018 | 16 | |
| 12 | 2018 | 19 | |
| 13 | 2018 | 5 | |
| 14 | 2016 | 3 | |
| 15 | 2014 | 0 | |
| 16 | 2013 | 11 | |
| 17 | 2010 | 63 | |
| 18 | A-6-8 Variable Search Range Motion Estimation Algorithm for H.264/AVC | 2006 | 1 |
| 19 | 2004 | 2 | |
| 20 | 2004 | 6 |
About Kosuke Saito
Kosuke Saito is a scholar working on Pharmacology, Toxicology, Small Animals, Molecular Biology and Spectroscopy, having authored 154 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (16 papers), Pharmacogenetics and Drug Metabolism (9 papers), Biosimilars and Bioanalytical Methods (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Pharmacy and Medical Practices (7 papers), Nuclear Materials and Properties (5 papers), Mass Spectrometry Techniques and Applications (5 papers) and Nuclear Physics and Applications (5 papers). The work is most often cited by research in Cancer Research (225 citations), Molecular Biology (947 citations), Neurology (113 citations), Biochemistry (99 citations) and Pharmacology (114 citations). Kosuke Saito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshiro Saito, Keiko Maekawa, Masaki Ishikawa, Motoi Oishi, Masayoshi Soma, Noboru Fukuda, Yuji Kumagai, Kan Chiba, Tomomi Furihata and Masahiko Negishi. Their work appears in journals such as PLoS ONE, Bioanalysis, Scientific Reports, Drug Metabolism and Pharmacokinetics and Hypertension Research.
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.