Satoshi Suzuki
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Immunology top 10%
- Epidemiology top 10%
- Surgery
- Co-authors
- Hajime TogariToru ImamuraKazuo OzawaMutsuo YamayaMitsuhiro YamadaNaoya FujinoHiroshi KuboMohamed Hamed Hussein
- Topics
- Neonatal Respiratory Health Research (27 papers)Neonatal and fetal brain pathology (12 papers)Congenital Diaphragmatic Hernia Studies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanEgyptUnited States
In The Last Decade
Satoshi Suzuki
120 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 686
- Pulmonary and Respiratory Medicine 564
- Immunology 368
- Epidemiology 269
- Surgery 262
Countries citing papers authored by Satoshi Suzuki
This map shows the geographic impact of Satoshi Suzuki'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 Satoshi Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Suzuki more than expected).
Fields of papers citing papers by Satoshi Suzuki
This network shows the impact of papers produced by Satoshi Suzuki. 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 Satoshi Suzuki. The network helps show where Satoshi Suzuki may publish in the future.
Co-authorship network of co-authors of Satoshi Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Suzuki. A scholar is included among the top collaborators of Satoshi Suzuki 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 Satoshi Suzuki. Satoshi Suzuki 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 | 16 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 51 | |
| 6 | 11 | |
| 7 | 25 | |
| 8 | 17 | |
| 9 | 13 | |
| 10 | 13 | |
| 11 | 57 | |
| 12 | Attenuation of respiratory immune responses by antiviral neuraminidase inhibitor treatment and boost of mucosal immunoglobulin A response by co-administration of immuno-modulator clarithromycin in paediatric influenza | 1 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 30 | |
| 17 | 82 | |
| 18 | 27 | |
| 19 | The Usefulness of Ultrasensitive Assay for Estradiol in Both Sexes During Childhood | 1 |
| 20 | 3 |
About Satoshi Suzuki
Satoshi Suzuki is a scholar working on Pulmonary and Respiratory Medicine, Immunology and Urology, having authored 124 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (27 papers), Neonatal and fetal brain pathology (12 papers) and Congenital Diaphragmatic Hernia Studies (9 papers). The work is most often cited by research in Urology (245 citations), Immunology (368 citations) and Pulmonary and Respiratory Medicine (564 citations). Satoshi Suzuki has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Hajime Togari, Toru Imamura, Kazuo Ozawa, Mutsuo Yamaya, Mitsuhiro Yamada, Naoya Fujino, Hiroshi Kubo, Mohamed Hamed Hussein, Chiharu Ota and Takaya Suzuki. 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.