Hiroya Matsuo
- Obstetrics and Gynecology top 0.5%
- Reproductive Medicine top 1%
- Pediatrics, Perinatology and Child Health top 2%
- Public Health, Environmental and Occupational Health top 5%
- Immunology top 5%
- Co-authors
- Takeshi MaruoTakashi SamotoMatsuto MochizukiHomare MurakoshiJovelle B. Laoag‐FernandezNaonori IshiharaMasato HayashiSatoshi Nakago
- Topics
- Uterine Myomas and Treatments (13 papers)Pregnancy and preeclampsia studies (11 papers)Reproductive Biology and Fertility (11 papers)
- Partner nations
- JapanPhilippinesUnited States
In The Last Decade
Hiroya Matsuo
83 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Obstetrics and Gynecology 1.2k
- Reproductive Medicine 721
- Pediatrics, Perinatology and Child Health 597
- Public Health, Environmental and Occupational Health 455
- Immunology 451
Countries citing papers authored by Hiroya Matsuo
This map shows the geographic impact of Hiroya 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 Hiroya Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroya Matsuo more than expected).
Fields of papers citing papers by Hiroya Matsuo
This network shows the impact of papers produced by Hiroya 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 Hiroya Matsuo. The network helps show where Hiroya Matsuo may publish in the future.
Co-authorship network of co-authors of Hiroya Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroya Matsuo. A scholar is included among the top collaborators of Hiroya 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 Hiroya Matsuo. Hiroya 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 | 4 | |
| 2 | 11 | |
| 3 | 49 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 2 | |
| 16 | 44 | |
| 17 | 20 | |
| 18 | 9 | |
| 19 | Effects of Epidermal Growth Factor on the Proliferation and Differentiation of Porcine Granulosa Cells Cultured in vitro | 5 |
| 20 | 52 |
About Hiroya Matsuo
Hiroya Matsuo is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Pediatrics, Perinatology and Child Health, having authored 86 papers that have together received 2.3k indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (13 papers), Pregnancy and preeclampsia studies (11 papers) and Reproductive Biology and Fertility (11 papers). The work is most often cited by research in Obstetrics and Gynecology (1.2k citations), Reproductive Medicine (721 citations) and Pediatrics, Perinatology and Child Health (597 citations). Hiroya Matsuo has collaborated with scholars based in Japan, Philippines and United States. Frequent co-authors include Takeshi Maruo, Takashi Samoto, Matsuto Mochizuki, Homare Murakoshi, Jovelle B. Laoag‐Fernandez, Naonori Ishihara, Masato Hayashi, Satoshi Nakago, Jun Deguchi and Zhijian Gao. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism 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.