Satoshi Sugiyama
- Clinical Biochemistry top 0.5%
- Nephrology top 1%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Co-authors
- Toshio MiyataKiyoshi KurokawaKenji MaedaReiko InagiKyoji HorieHideto SakaiSatoshi MiyataJ L Witztum
- Topics
- Optical Coherence Tomography Applications (16 papers)Renal Diseases and Glomerulopathies (16 papers)Retinal Diseases and Treatments (13 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Satoshi Sugiyama
107 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 129
- Clinical Biochemistry 619
- Nephrology 516
- Molecular Biology 405
- Endocrinology, Diabetes and Metabolism 328
- Physiology 288
Countries citing papers authored by Satoshi Sugiyama
This map shows the geographic impact of Satoshi Sugiyama'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 Sugiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satoshi Sugiyama more than expected).
Fields of papers citing papers by Satoshi Sugiyama
This network shows the impact of papers produced by Satoshi Sugiyama. 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 Sugiyama. The network helps show where Satoshi Sugiyama may publish in the future.
Co-authorship network of co-authors of Satoshi Sugiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Sugiyama. A scholar is included among the top collaborators of Satoshi Sugiyama 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 Sugiyama. Satoshi Sugiyama 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 | 1 | |
| 3 | 0 | |
| 4 | Conventional OCT artifacts in the human sclera revealed by polarization-sensitive OCT | 1 |
| 5 | Polarization-sensitive swept-source OCT imaging of retinal pigment epithelium and subretinal fibrous tissues | 2 |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 19 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 364 | |
| 19 | 12 | |
| 20 | 2 |
About Satoshi Sugiyama
Satoshi Sugiyama is a scholar working on Nephrology, Transplantation and Ophthalmology, having authored 121 papers that have together received 2.3k indexed citations. Recurring topics across this work include Optical Coherence Tomography Applications (16 papers), Renal Diseases and Glomerulopathies (16 papers) and Retinal Diseases and Treatments (13 papers). The work is most often cited by research in Clinical Biochemistry (619 citations), Nephrology (516 citations) and Ophthalmology (216 citations). Satoshi Sugiyama has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Toshio Miyata, Kiyoshi Kurokawa, Kenji Maeda, Reiko Inagi, Kyoji Horie, Hideto Sakai, Satoshi Miyata, J L Witztum, Vincent M. Monnier and Akira Saito. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.
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.