Maki Sugimoto
- Health Informatics top 5%
- Human-Computer Interaction top 5%
- Surgery top 5%
- Surgical Simulation and Training 28
- Minimally Invasive Surgical Techniques 8
- Pancreatitis Pathology and Treatment 8
- Pediatric Hepatobiliary Diseases and Treatments 6
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- Augmented Reality Applications 13
- Biomedical Engineering top 10%
- Anatomy and Medical Technology 25
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- Pancreatic and Hepatic Oncology Research 19
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- Gallbladder and Bile Duct Disorders 16
- Co-authors
- Mitsuo ShimadaYu SaitoTakaomi KobayashiYuji MorineMasatsugu TsukamotoTadatsugu MorimotoHirohito HirataShinichiro Yamada
- Journals
- Journal of Hepato-Biliary-Pancreatic Sciences (6 papers)Journal of Hepato-Biliary-Pancreatic Surgery (5 papers)HPB (3 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Maki Sugimoto
74 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 27
- Human-Computer Interaction 107
- Surgery 742
- Computer Vision and Pattern Recognition 304
- Biomedical Engineering 438
Countries citing papers authored by Maki Sugimoto
This map shows the geographic impact of Maki Sugimoto'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 Maki Sugimoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maki Sugimoto more than expected).
Fields of papers citing papers by Maki Sugimoto
This network shows the impact of papers produced by Maki Sugimoto. 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 Maki Sugimoto. The network helps show where Maki Sugimoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maki Sugimoto, 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 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 43 | |
| 12 | 2018 | 1 | |
| 13 | 2013 | 13 | |
| 14 | 2012 | 4 | |
| 15 | 2012 | 5 | |
| 16 | 2009 | 3 | |
| 17 | 2008 | 0 | |
| 18 | 2008 | 2 | |
| 19 | 2004 | 29 | |
| 20 | A case of intracranial mesenchymal chondrosarcoma. Changes observed by computed tomography before and after radiotherapy | 1981 | 4 |
About Maki Sugimoto
Maki Sugimoto is a scholar working on Surgery, Gastroenterology and Oncology, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Surgical Simulation and Training (28 papers), Anatomy and Medical Technology (25 papers), Pancreatic and Hepatic Oncology Research (19 papers), Gallbladder and Bile Duct Disorders (16 papers), Augmented Reality Applications (13 papers), Minimally Invasive Surgical Techniques (8 papers), Pancreatitis Pathology and Treatment (8 papers) and Pediatric Hepatobiliary Diseases and Treatments (6 papers). The work is most often cited by research in Health Informatics (27 citations), Human-Computer Interaction (107 citations) and Surgery (742 citations). Maki Sugimoto has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Mitsuo Shimada, Yu Saito, Takaomi Kobayashi, Yuji Morine, Masatsugu Tsukamoto, Tadatsugu Morimoto, Hirohito Hirata, Shinichiro Yamada, Koji Otani and Masaaki Mawatari. Their work appears in journals such as Journal of Hepato-Biliary-Pancreatic Sciences, Journal of Hepato-Biliary-Pancreatic Surgery, HPB, Journal of Clinical Medicine and Endoscopy.
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.