Hidetoshi Matsuo
- Obstetrics and Gynecology top 2%
- Reproductive Medicine top 5%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Takeshi MaruoM MochizukiTakashi SamotoJerome F. StraussMizuho NishioHideki ItoCecilia A. Ladines‐LlaveKazuya Murata
- Topics
- Radiomics and Machine Learning in Medical Imaging (9 papers)Pregnancy and preeclampsia studies (8 papers)AI in cancer detection (5 papers)
- Partner nations
- JapanUnited StatesIndonesia
In The Last Decade
Hidetoshi Matsuo
40 papers receiving 949 citations
Peers
Comparison fields: 5 of 103
- Obstetrics and Gynecology 310
- Reproductive Medicine 214
- Molecular Biology 208
- Public Health, Environmental and Occupational Health 207
- Pediatrics, Perinatology and Child Health 172
Countries citing papers authored by Hidetoshi Matsuo
This map shows the geographic impact of Hidetoshi 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 Hidetoshi Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidetoshi Matsuo more than expected).
Fields of papers citing papers by Hidetoshi Matsuo
This network shows the impact of papers produced by Hidetoshi 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 Hidetoshi Matsuo. The network helps show where Hidetoshi Matsuo may publish in the future.
Co-authorship network of co-authors of Hidetoshi Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Hidetoshi Matsuo. A scholar is included among the top collaborators of Hidetoshi 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 Hidetoshi Matsuo. Hidetoshi 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 | 0 | |
| 2 | 10 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 6 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 29 | |
| 11 | 34 | |
| 12 | 2 | |
| 13 | 48 | |
| 14 | 16 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 47 | |
| 18 | 18 | |
| 19 | 68 | |
| 20 | 40 |
About Hidetoshi Matsuo
Hidetoshi Matsuo is a scholar working on Health Informatics, Obstetrics and Gynecology and General Dentistry, having authored 41 papers that have together received 979 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Pregnancy and preeclampsia studies (8 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Obstetrics and Gynecology (310 citations), Reproductive Medicine (214 citations) and Health Informatics (22 citations). Hidetoshi Matsuo has collaborated with scholars based in Japan, United States and Indonesia. Frequent co-authors include Takeshi Maruo, M Mochizuki, Takashi Samoto, Jerome F. Strauss, Mizuho Nishio, Hideki Ito, Cecilia A. Ladines‐Llave, Kazuya Murata, Tetsuo Otani and M. Mochizuki. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.
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.