Satoshi Suzuki
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Oncology top 10%
- Physiology top 5%
- Co-authors
- Hironobu SasanoTakashi SuzukiTakashi KondoYasuhiro MikiMasashi HandaHiroshi KuboTakuya MoriyaHiromichi Niikawa
- Topics
- Ion Transport and Channel Regulation (13 papers)Neonatal Respiratory Health Research (11 papers)Estrogen and related hormone effects (10 papers)
In The Last Decade
Satoshi Suzuki
103 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 135
- Pulmonary and Respiratory Medicine 1.3k
- Molecular Biology 1.2k
- Genetics 455
- Oncology 451
- Physiology 397
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 | 1 | |
| 2 | 0 | |
| 3 | Exact matching approach with circuit element ohmic loss | 3 |
| 4 | 61 | |
| 5 | 14 | |
| 6 | 30 | |
| 7 | 51 | |
| 8 | 90 | |
| 9 | 3 | |
| 10 | Nitroglycerin treatment may increase response to docetaxel and carboplatin regimen via inhibitions of hypoxia-inducible factor-1 pathway and P-glycoprotein in patients with lung adenocarcinoma | 9 |
| 11 | 19 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 35 | |
| 16 | 40 | |
| 17 | 9 | |
| 18 | 13 | |
| 19 | 173 | |
| 20 | [Pleuropneumonectomy with thymectomy for invasive thymoma with pleural disseminations--a case report]. | 3 |
About Satoshi Suzuki
Satoshi Suzuki is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Molecular Biology, having authored 112 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (13 papers), Neonatal Respiratory Health Research (11 papers) and Estrogen and related hormone effects (10 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.3k citations), Endocrine and Autonomic Systems (235 citations) and Molecular Biology (1.2k citations). Satoshi Suzuki has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include Hironobu Sasano, Takashi Suzuki, Takashi Kondo, Yasuhiro Miki, Masashi Handa, Hiroshi Kubo, Takuya Moriya, Hiromichi Niikawa, H. Sasaki and Hironori Ishibashi. Their work appears in journals such as Blood, 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.