Toru Sano
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
Papers in
-
- Parallel Computing and Optimization Techniques 13
- Embedded Systems Design Techniques 13
- Hepatology 12
- Hepatocellular Carcinoma Treatment and Prognosis 11
- Liver Disease and Transplantation 6
- Co-authors
- Koichi TomitaShigeyuki KawachiNaokazu ChibaTakahiro GunjiHideharu AmanoYohei HasegawaTakashi MiyamoriMasashi Nakagawa
- Journals
- The American Surgeon (4 papers)Langenbeck s Archives of Surgery (4 papers)World Journal of Surgery (3 papers)BMC Surgery (3 papers)Journal of Gastrointestinal Surgery (3 papers)
- Partner nations
- Japan
In The Last Decade
Toru Sano
53 papers receiving 300 citations
Peers
Comparison fields: 5 of 65
- Hardware and Architecture 90
- Hepatology 47
- Computer Networks and Communications 78
- Surgery 90
- Oncology 50
Countries citing papers authored by Toru Sano
This map shows the geographic impact of Toru Sano'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 Toru Sano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toru Sano more than expected).
Fields of papers citing papers by Toru Sano
This network shows the impact of papers produced by Toru Sano. 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 Toru Sano. The network helps show where Toru Sano may publish in the future.
Co-authors
The 25 scholars most cited alongside Toru Sano, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2013 | 4 | |
| 17 | 2010 | 4 | |
| 18 | A Real Chip Evaluation of MuCCRA-3: A Low Power Dycamically Reconfigurable Processor Array. | 2009 | 10 |
| 19 | Configuration with Self-Configured Datapath: A High Speed Configuration Method for Dynamically Reconfigurable Processors. | 2009 | 1 |
| 20 | 2007 | 4 |
About Toru Sano
Toru Sano is a scholar working on Hardware and Architecture, Hepatology, Computer Networks and Communications, Oncology and Surgery, having authored 61 papers that have together received 304 indexed citations. Recurring topics across this work include Interconnection Networks and Systems (14 papers), Parallel Computing and Optimization Techniques (13 papers), Embedded Systems Design Techniques (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Pancreatic and Hepatic Oncology Research (10 papers), Liver Disease and Transplantation (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers) and CCD and CMOS Imaging Sensors (6 papers). The work is most often cited by research in Hardware and Architecture (90 citations), Hepatology (47 citations), Computer Networks and Communications (78 citations), Surgery (90 citations) and Oncology (50 citations). Toru Sano has collaborated with scholars based in Japan. Frequent co-authors include Koichi Tomita, Shigeyuki Kawachi, Naokazu Chiba, Takahiro Gunji, Hideharu Amano, Yohei Hasegawa, Takashi Miyamori, Masashi Nakagawa, Motohide Shimazu and Yuta Abe. Their work appears in journals such as The American Surgeon, Langenbeck s Archives of Surgery, World Journal of Surgery, BMC Surgery and Journal of Gastrointestinal Surgery.
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.