Takako Saitô
- Molecular Biology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Nephrology top 5%
- Co-authors
- San‐e IshikawaMinori HigashiyamaToshikazu SaitoShoichiro NagasakaIkuyo KusakaHitoshi SawadaMasanobu KawakamiFumiaki Marumo
- Topics
- Electrolyte and hormonal disorders (29 papers)Ion Transport and Channel Regulation (23 papers)Neuroendocrine regulation and behavior (12 papers)
- Partner nations
- JapanBrazilUnited States
In The Last Decade
Takako Saitô
110 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 836
- Pulmonary and Respiratory Medicine 621
- Endocrinology, Diabetes and Metabolism 249
- Genetics 196
- Nephrology 188
Countries citing papers authored by Takako Saitô
This map shows the geographic impact of Takako Saitô'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 Takako Saitô with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takako Saitô more than expected).
Fields of papers citing papers by Takako Saitô
This network shows the impact of papers produced by Takako Saitô. 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 Takako Saitô. The network helps show where Takako Saitô may publish in the future.
Co-authorship network of co-authors of Takako Saitô
This figure shows the co-authorship network connecting the top 25 collaborators of Takako Saitô. A scholar is included among the top collaborators of Takako Saitô 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 Takako Saitô. Takako Saitô is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 111 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 94 | |
| 11 | 33 | |
| 12 | 29 | |
| 13 | Measurement of the Ability of Facial Recognition Using Item Response Theory | 1 |
| 14 | 3 | |
| 15 | 31 | |
| 16 | 20 | |
| 17 | 8 | |
| 18 | 10 | |
| 19 | Doseamento microbiologico de neomicina : influencia do volume de meio de cultura | 2 |
| 20 | [Discrepant excretion volume (DV); a new nomogram for clinical diagnosis and treatment of diabetes insipidus and inappropriate secretion of ADH in neurosurgical patients (author's transl)]. | 2 |
About Takako Saitô
Takako Saitô is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (29 papers), Ion Transport and Channel Regulation (23 papers) and Neuroendocrine regulation and behavior (12 papers). The work is most often cited by research in Nephrology (188 citations), Pulmonary and Respiratory Medicine (621 citations) and Endocrine and Autonomic Systems (108 citations). Takako Saitô has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include San‐e Ishikawa, Minori Higashiyama, Toshikazu Saito, Shoichiro Nagasaka, Ikuyo Kusaka, Hitoshi Sawada, Masanobu Kawakami, Fumiaki Marumo, Tomoatsu Nakamura and Lixy Yamada. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Lancet.
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.