Kayoko Saito
- Molecular Biology top 5%
- Genetics top 0.5%
- Surgery top 5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Co-authors
- Makiko ŌsawaTatsushi TodaEri Kondo-IidaYukio FukuyamaKazuhiro KobayashiIchiro KanazawaMieko YoshiokaYasuo Nakagome
- Topics
- Neurogenetic and Muscular Disorders Research (71 papers)Muscle Physiology and Disorders (52 papers)RNA modifications and cancer (51 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kayoko Saito
220 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.4k
- Genetics 1.0k
- Surgery 722
- Cellular and Molecular Neuroscience 614
- Genetics 497
Countries citing papers authored by Kayoko Saito
This map shows the geographic impact of Kayoko 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 Kayoko Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Saito more than expected).
Fields of papers citing papers by Kayoko Saito
This network shows the impact of papers produced by Kayoko 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 Kayoko Saito. The network helps show where Kayoko Saito may publish in the future.
Co-authorship network of co-authors of Kayoko Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Kayoko Saito. A scholar is included among the top collaborators of Kayoko Saito 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 Kayoko Saito. Kayoko Saito 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 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | Nusinersen in infants with spinal muscular atrophy（SMA）：design／interim results of the ENDEAR study | 1 |
| 9 | 0 | |
| 10 | 39 | |
| 11 | 49 | |
| 12 | 3 | |
| 13 | 29 | |
| 14 | 16 | |
| 15 | 52 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | Transient Exacerbation of Muscle Weakness Induced by Febrile Illness in Patients with Congenital Muscular Dystrophy(Papers for Cerebrating the Fifth Aniversary of the Directorship of Prof. M. Osawa at the Department of Pediatrics, Tokyo Women's Medical University) | 1 |
| 19 | 37 | |
| 20 | Histological study of allergic conjunctivitis report 2 - Time course of allergic conjunctival inflammation | 3 |
About Kayoko Saito
Kayoko Saito is a scholar working on Genetics, Molecular Biology and Clinical Biochemistry, having authored 230 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (71 papers), Muscle Physiology and Disorders (52 papers) and RNA modifications and cancer (51 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (2.4k citations) and Cellular and Molecular Neuroscience (614 citations). Kayoko Saito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Makiko Ōsawa, Tatsushi Toda, Eri Kondo-Iida, Yukio Fukuyama, Kazuhiro Kobayashi, Ichiro Kanazawa, Mieko Yoshioka, Yasuo Nakagome, Masashi Miyake and Yutaka Nakahori. Their work appears in journals such as Nature, Nature Medicine and Journal of Clinical Oncology.
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.