Noboru Matsuzaki
- Immunology top 2%
- Obstetrics and Gynecology top 1%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Co-authors
- Fumitaka SajiOsamu TanizawaTakeshi TaniguchiTakashi KamedaMasayasu KoyamaKoichiro ShimoyaTakayoshi OkadaKeisuke Sawai
- Topics
- Reproductive System and Pregnancy (30 papers)Preterm Birth and Chorioamnionitis (16 papers)Pregnancy and preeclampsia studies (13 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismJournal of VirologyThe Journal of Infectious Diseases
- Partner nations
- JapanUnited States
In The Last Decade
Noboru Matsuzaki
52 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 93
- Immunology 1.0k
- Obstetrics and Gynecology 576
- Epidemiology 459
- Public Health, Environmental and Occupational Health 428
- Reproductive Medicine 357
Countries citing papers authored by Noboru Matsuzaki
This map shows the geographic impact of Noboru Matsuzaki'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 Noboru Matsuzaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noboru Matsuzaki more than expected).
Fields of papers citing papers by Noboru Matsuzaki
This network shows the impact of papers produced by Noboru Matsuzaki. 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 Noboru Matsuzaki. The network helps show where Noboru Matsuzaki may publish in the future.
Co-authorship network of co-authors of Noboru Matsuzaki
This figure shows the co-authorship network connecting the top 25 collaborators of Noboru Matsuzaki. A scholar is included among the top collaborators of Noboru Matsuzaki 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 Noboru Matsuzaki. Noboru Matsuzaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 12 | |
| 3 | 27 | |
| 4 | 6 | |
| 5 | 50 | |
| 6 | 69 | |
| 7 | 5 | |
| 8 | 51 | |
| 9 | 17 | |
| 10 | 90 | |
| 11 | 19 | |
| 12 | 63 | |
| 13 | 4 | |
| 14 | 97 | |
| 15 | 96 | |
| 16 | 129 | |
| 17 | 20 | |
| 18 | 21 | |
| 19 | 11 | |
| 20 | 7 |
About Noboru Matsuzaki
Noboru Matsuzaki is a scholar working on Obstetrics and Gynecology, Immunology and Reproductive Medicine, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (30 papers), Preterm Birth and Chorioamnionitis (16 papers) and Pregnancy and preeclampsia studies (13 papers). The work is most often cited by research in Obstetrics and Gynecology (576 citations), Immunology (1.0k citations) and Reproductive Medicine (357 citations). Noboru Matsuzaki has collaborated with scholars based in Japan and United States. Frequent co-authors include Fumitaka Saji, Osamu Tanizawa, Takeshi Taniguchi, Takashi Kameda, Masayasu Koyama, Koichiro Shimoya, Takayoshi Okada, Keisuke Sawai, Masaaki Yamaguchi and Kenji Hirota. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Virology and The Journal of Infectious Diseases.
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.