Masaki Hata
- Molecular Biology top 2%
- Neurology top 0.1%
- Oncology top 5%
- Cell Biology top 2%
- Surgery top 5%
- Co-authors
- Shöichiro TsukitaMikio FuruseHiroyuki SasakiYoshiteru SeoNobuo HashimotoShimpei GotohTetsuo NodaKyoko Furuse
- Topics
- Aortic Disease and Treatment Approaches (19 papers)Cardiac Valve Diseases and Treatments (17 papers)Radiomics and Machine Learning in Medical Imaging (14 papers)
- Cited by
- NeurologyPeriodonticsCell Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masaki Hata
137 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.7k
- Neurology 2.5k
- Oncology 795
- Cell Biology 686
- Surgery 640
Countries citing papers authored by Masaki Hata
This map shows the geographic impact of Masaki Hata'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 Masaki Hata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaki Hata more than expected).
Fields of papers citing papers by Masaki Hata
This network shows the impact of papers produced by Masaki Hata. 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 Masaki Hata. The network helps show where Masaki Hata may publish in the future.
Co-authorship network of co-authors of Masaki Hata
This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Hata. A scholar is included among the top collaborators of Masaki Hata 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 Masaki Hata. Masaki Hata 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 | 10 | |
| 3 | 46 | |
| 4 | Effect of phytohemagglutinin (PHA) on nuclear transfer pig embryos in vitro | 1 |
| 5 | 4 | |
| 6 | 71 | |
| 7 | 39 | |
| 8 | 77 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 5 | |
| 13 | 19 | |
| 14 | 228 | |
| 15 | 3 | |
| 16 | High-frequency quantitative ultrasound imaging of cancerous lymph nodes (Special issue: Ultrasonic electronics) | 1 |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | 6 |
About Masaki Hata
Masaki Hata is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Biological Psychiatry, having authored 147 papers that have together received 6.5k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (19 papers), Cardiac Valve Diseases and Treatments (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). The work is most often cited by research in Neurology (2.5k citations), Periodontics (230 citations) and Cell Biology (686 citations). Masaki Hata has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shöichiro Tsukita, Mikio Furuse, Hiroyuki Sasaki, Yoshiteru Seo, Nobuo Hashimoto, Shimpei Gotoh, Tetsuo Noda, Kyoko Furuse, Akiharu Kubo and Yoko Yoshida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.