Mitsuaki Hosoya
- Epidemiology top 1%
- Infectious Diseases top 1%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Yukihiko KawasakiKoichi HashimotoSeiji YasumuraMasatoki SatoHitoshi SuzukiShirô ShigetaErik De ClercqKenji Kamiya
- Topics
- Respiratory viral infections research (60 papers)Renal Diseases and Glomerulopathies (35 papers)Neonatal Respiratory Health Research (31 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Mitsuaki Hosoya
309 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 155
- Epidemiology 1.7k
- Infectious Diseases 1.1k
- Pulmonary and Respiratory Medicine 610
- Molecular Biology 523
- Cardiology and Cardiovascular Medicine 511
Countries citing papers authored by Mitsuaki Hosoya
This map shows the geographic impact of Mitsuaki Hosoya'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 Mitsuaki Hosoya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuaki Hosoya more than expected).
Fields of papers citing papers by Mitsuaki Hosoya
This network shows the impact of papers produced by Mitsuaki Hosoya. 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 Mitsuaki Hosoya. The network helps show where Mitsuaki Hosoya may publish in the future.
Co-authorship network of co-authors of Mitsuaki Hosoya
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuaki Hosoya. A scholar is included among the top collaborators of Mitsuaki Hosoya 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 Mitsuaki Hosoya. Mitsuaki Hosoya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 43 | |
| 16 | 5 | |
| 17 | 18 | |
| 18 | 7 | |
| 19 | 9 | |
| 20 | The emergence of drug-resistant Streptococcus pneumoniae and host risk factors for carriage of drug-resistant genes in northeastern Japan. | 8 |
About Mitsuaki Hosoya
Mitsuaki Hosoya is a scholar working on Nephrology, Obstetrics and Gynecology and Infectious Diseases, having authored 327 papers that have together received 4.8k indexed citations. Recurring topics across this work include Respiratory viral infections research (60 papers), Renal Diseases and Glomerulopathies (35 papers) and Neonatal Respiratory Health Research (31 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Nephrology (416 citations) and Epidemiology (1.7k citations). Mitsuaki Hosoya has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Yukihiko Kawasaki, Koichi Hashimoto, Seiji Yasumura, Masatoki Sato, Hitoshi Suzuki, Shirô Shigeta, Erik De Clercq, Hitoshi Suzuki, Kenji Kamiya and Kazuhide Suyama. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.