Masato Hirata
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 13
- Protein Kinase Regulation and GTPase Signaling 12
- Bone Metabolism and Diseases 9
- Ion channel regulation and function 8
-
- Neuroscience and Neuropharmacology Research 5
- Physiology top 5%
- Cell Biology top 5%
- Cellular transport and secretion 5
-
- Bone health and treatments 7
-
- Regulation of Appetite and Obesity 7
- Co-authors
- Akiko MizokamiH KuriyamaTomoyo Kawakubo‐YasukochiHiroshi TakeuchiToshiyuki SasaguriTetsuro IkebeT ItohEijiro Jimi
- Journals
- Journal of Biological Chemistry (8 papers)The Journal of Biochemistry (5 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Masato Hirata
81 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 1.7k
- Cellular and Molecular Neuroscience 444
- Orthopedics and Sports Medicine 197
- Physiology 536
- Cell Biology 324
Countries citing papers authored by Masato Hirata
This map shows the geographic impact of Masato Hirata'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 Masato Hirata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Hirata more than expected).
Fields of papers citing papers by Masato Hirata
This network shows the impact of papers produced by Masato Hirata. 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 Masato Hirata. The network helps show where Masato Hirata may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masato Hirata, 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 | 2024 | 6 | |
| 2 | 2020 | 32 | |
| 3 | 2020 | 28 | |
| 4 | 2019 | 5 | |
| 5 | Uncarboxylated Osteocalcin Increases Serum Nitric OxideLevels and Ameliorates Hypercholesterolemia in Mice Fed anAtherogenic Diet | 2017 | 4 |
| 6 | 2017 | 147 | |
| 7 | 2017 | 6 | |
| 8 | 2017 | 13 | |
| 9 | 2009 | 17 | |
| 10 | 2007 | 140 | |
| 11 | 2007 | 65 | |
| 12 | 2003 | 9 | |
| 13 | 2003 | 91 | |
| 14 | 1997 | 13 | |
| 15 | 1995 | 7 | |
| 16 | 1994 | 5 | |
| 17 | 1994 | 6 | |
| 18 | 1994 | 3 | |
| 19 | 1993 | 65 | |
| 20 | 1987 | 16 |
About Masato Hirata
Masato Hirata is a scholar working on Endocrine and Autonomic Systems, Cell Biology and Molecular Biology, having authored 83 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (13 papers), Protein Kinase Regulation and GTPase Signaling (12 papers), Bone Metabolism and Diseases (9 papers), Ion channel regulation and function (8 papers), Bone health and treatments (7 papers), Regulation of Appetite and Obesity (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (444 citations) and Orthopedics and Sports Medicine (197 citations). Masato Hirata has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Akiko Mizokami, H Kuriyama, Tomoyo Kawakubo‐Yasukochi, Hiroshi Takeuchi, Toshiyuki Sasaguri, Tetsuro Ikebe, T Itoh, Eijiro Jimi, Takashi Kanematsu and Miho Matsuda. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Biochemistry, Biochemical and Biophysical Research Communications, Bone and Endocrinology.
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.