Nobutake Matsuo
- Molecular Biology top 5%
- Genetics top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Tsutomu OgataTomonobu HasegawaMikako InokuchiSeiji SatoMakoto AnzoJohn I. TakayamaToshiro NagaiKoji Muroya
- Topics
- Sexual Differentiation and Disorders (22 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers)Obesity, Physical Activity, Diet (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Nobutake Matsuo
105 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.5k
- Genetics 1.2k
- Endocrinology, Diabetes and Metabolism 543
- Pediatrics, Perinatology and Child Health 387
- Public Health, Environmental and Occupational Health 359
Countries citing papers authored by Nobutake Matsuo
This map shows the geographic impact of Nobutake Matsuo'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 Nobutake Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobutake Matsuo more than expected).
Fields of papers citing papers by Nobutake Matsuo
This network shows the impact of papers produced by Nobutake Matsuo. 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 Nobutake Matsuo. The network helps show where Nobutake Matsuo may publish in the future.
Co-authorship network of co-authors of Nobutake Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Nobutake Matsuo. A scholar is included among the top collaborators of Nobutake Matsuo 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 Nobutake Matsuo. Nobutake Matsuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 9 | |
| 3 | 67 | |
| 4 | 46 | |
| 5 | Lack of Correlation between the Endocrinological Abnormalities and Obesity Index in Anorexia Nervosa in Childhood and Adolescence | 1 |
| 6 | 41 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 27 | |
| 12 | 27 | |
| 13 | 32 | |
| 14 | 78 | |
| 15 | 125 | |
| 16 | 58 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 3 | |
| 20 | 11 |
About Nobutake Matsuo
Nobutake Matsuo is a scholar working on Clinical Biochemistry, Genetics and Endocrinology, Diabetes and Metabolism, having authored 107 papers that have together received 3.2k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (22 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers) and Obesity, Physical Activity, Diet (15 papers). The work is most often cited by research in Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (543 citations) and Reproductive Medicine (226 citations). Nobutake Matsuo has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tsutomu Ogata, Tomonobu Hasegawa, Mikako Inokuchi, Seiji Sato, Makoto Anzo, John I. Takayama, Toshiro Nagai, Koji Muroya, Kenjiro Kosaki and Tomohiro Ishii. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.