Kenji Satô
- Genetics top 10%
- Urology top 5%
- Rheumatology top 10%
- Bone Tumor Diagnosis and Treatments 4
- Urologic and reproductive health conditions 3
- Rehabilitation top 10%
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- Sarcoma Diagnosis and Treatment 7
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- Economic theories and models 5
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- Glycosylation and Glycoproteins Research 5
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- Economic Growth and Development 3
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- Reproductive Physiology in Livestock 3
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- Animal health and immunology 3
- Co-authors
- Kazuto KamiyamaJohnny HuardNaoki KawakamiFreddie H. FuNobuo AdachiArvydas ŪsasSusumu TachiMasahiro Sakai
- Cited by
- GeneticsUrologyRheumatology
- Journals
- Cancers (2 papers)Radiology (2 papers)International Journal of Clinical Oncology (2 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Kenji Satô
88 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 141
- Genetics 151
- Urology 85
- Rheumatology 133
- Immunology 149
- Rehabilitation 48
Countries citing papers authored by Kenji Satô
This map shows the geographic impact of Kenji Satô'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 Kenji Satô with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Satô more than expected).
Fields of papers citing papers by Kenji Satô
This network shows the impact of papers produced by Kenji Satô. 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 Kenji Satô. The network helps show where Kenji Satô may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenji Satô, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 3 | |
| 4 | Human Machine Interface with Driver in Highly Automated Driving (Fourth Report) | 2021 | 1 |
| 5 | Receptivity and Innovation | 2017 | 1 |
| 6 | 2013 | 6 | |
| 7 | 2013 | 2 | |
| 8 | 2012 | 0 | |
| 9 | 2010 | 1 | |
| 10 | 2008 | 1 | |
| 11 | 2006 | 0 | |
| 12 | 2002 | 0 | |
| 13 | 1 Tbit/s (25 × 43 Gbit/s) Field Trial Using 43-Gbit/s/ch OTN Interface Prototype | 2002 | 1 |
| 14 | 2002 | 18 | |
| 15 | Simultaneous Determination of 285 Chemicals in Water at ppt Levels by GC-Ion Trap Mass Spectrometry | 1995 | 3 |
| 16 | Total hip arthroplasty in Charcot joint : a case report | 1995 | 0 |
| 17 | 1986 | 1 | |
| 18 | 1984 | 1 | |
| 19 | 1977 | 3 | |
| 20 | 1976 | 1 |
About Kenji Satô
Kenji Satô is a scholar working on Equine, Health Informatics and Rheumatology, having authored 101 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (7 papers), Economic theories and models (5 papers), Glycosylation and Glycoproteins Research (5 papers), Bone Tumor Diagnosis and Treatments (4 papers), Economic Growth and Development (3 papers), Reproductive Physiology in Livestock (3 papers), Urologic and reproductive health conditions (3 papers) and Animal health and immunology (3 papers). The work is most often cited by research in Genetics (151 citations), Urology (85 citations) and Rheumatology (133 citations). Kenji Satô has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kazuto Kamiyama, Johnny Huard, Naoki Kawakami, Freddie H. Fu, Nobuo Adachi, Arvydas Ūsas, Susumu Tachi, Masahiro Sakai, Satoshi Abe and Ryoji Yamaguchi. Their work appears in journals such as Cancers, Radiology, International Journal of Clinical Oncology, Japanese Journal of Clinical Oncology and Scientific Reports.
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.