Takehiko Sasaki
- Immunology top 0.2%
- Molecular Biology top 0.2%
- PI3K/AKT/mTOR signaling in cancer 34
- Protein Kinase Regulation and GTPase Signaling 21
- Cell Biology top 0.2%
- Cellular transport and secretion 27
- Immunology and Allergy top 0.5%
- Cancer Research top 0.5%
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- Intracranial Aneurysms: Treatment and Complications 25
- Vascular Malformations Diagnosis and Treatment 16
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- Genetics and Neurodevelopmental Disorders 14
- Genetic Associations and Epidemiology 13
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- Child and Adolescent Psychosocial and Emotional Development 11
Takehiko Sasaki
283 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Immunology 4.7k
- Molecular Biology 12.2k
- Cell Biology 2.5k
- Immunology and Allergy 910
- Cancer Research 1.9k
Countries citing papers authored by Takehiko Sasaki
This map shows the geographic impact of Takehiko Sasaki'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 Takehiko Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takehiko Sasaki more than expected).
Fields of papers citing papers by Takehiko Sasaki
This network shows the impact of papers produced by Takehiko Sasaki. 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 Takehiko Sasaki. The network helps show where Takehiko Sasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takehiko Sasaki, 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 | 0 | |
| 2 | 2020 | 24 | |
| 3 | 2020 | 24 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 22 | |
| 7 | 2018 | 8 | |
| 8 | 2017 | 5 | |
| 9 | 2015 | 72 | |
| 10 | 2015 | 57 | |
| 11 | 2015 | 11 | |
| 12 | PHOSPHATIDYLINOSITOL 3,5-BISPHOSPHATE IS AN ESSENTIAL REGULATOR OF LYSOSOME MORPHOLOGY | 2012 | 1 |
| 13 | 2011 | 0 | |
| 14 | 2009 | 223 | |
| 15 | 2008 | 46 | |
| 16 | Mammalian Type III Phosphatidylinositol Phosphate Kinase is Dispensable for Cell Growth and Survival | 2008 | 1 |
| 17 | 2007 | 125 | |
| 18 | 2006 | 82 | |
| 19 | Effects of timed bright light exposure on the arousal level during simulated nightwork | 1996 | 1 |
| 20 | A New Rice Cultivar HITOMEBORE and the Cultivation Technique. : 1 Breeding of a New Rice Cultivar HITOMEBORE | 1992 | 1 |
About Takehiko Sasaki
Takehiko Sasaki is a scholar working on Cell Biology, Physiology and Immunology, having authored 306 papers that have together received 20.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (34 papers), Cellular transport and secretion (27 papers), Intracranial Aneurysms: Treatment and Complications (25 papers), Protein Kinase Regulation and GTPase Signaling (21 papers), Vascular Malformations Diagnosis and Treatment (16 papers), Genetics and Neurodevelopmental Disorders (14 papers), Genetic Associations and Epidemiology (13 papers) and Child and Adolescent Psychosocial and Emotional Development (11 papers). The work is most often cited by research in Immunology (4.7k citations), Molecular Biology (12.2k citations) and Cell Biology (2.5k citations). Takehiko Sasaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Josef Penninger, Akira Suzuki, Tak W. Mak, Andrew Wakeham, José Luís de la Pompa, Vuk Stambolic, Junko Irie-Sasaki, I. Kozieradzki, Junko Sasaki and David P. Siderovski. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Schizophrenia Research, Nature and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.
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.