Maki Sugimoto

1.8k citations
84 papers · 1.1k indexed · 1 hit paper · h-index 18
Topics
Surgical Simulation and Training (28 papers)Anatomy and Medical Technology (25 papers)Pancreatic and Hepatic Oncology Research (19 papers)
Partner nations
JapanUnited StatesFrance

In The Last Decade

Maki Sugimoto

74 papers receiving 1.1k citations

Hit Papers

XR (Extended Reality: Virtual Reality, Augmented Reality,...202220262023202420224080120

Peers

Maki Sugimoto
Comparison fields: 5 of 117
  • Surgery 742
  • Biomedical Engineering 438
  • Computer Vision and Pattern Recognition 304
  • Pulmonary and Respiratory Medicine 207
  • Oncology 183
Replace Philip Pratt with:
Philip Pratt United Kingdom
Emanuela Marcelli Italy
P Vávra Czechia
Asaki Hattori Japan
Giovanni Badiali Italy
Stéphane Nicolau France
Laura Cercenelli Italy
Andres Castellanos United States
Nicole Wake United States
András Lassó Canada
Maki Sugimoto relative to Philip Pratt United Kingdom Philip Pratt's profile →
Citations per field
00.5×1.5×2.4×
Philip Pratt · 1×
Citations per year

Countries citing papers authored by Maki Sugimoto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Maki Sugimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Sugimoto. A scholar is included among the top collaborators of Maki Sugimoto 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 Maki Sugimoto. Maki Sugimoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 0
5 7
6 5
7 3
8 2
9 11
10 10
11 43
12 1
13 13
14 4
15 5
16 3
17 0
18 2
19 29
20
A case of intracranial mesenchymal chondrosarcoma. Changes observed by computed tomography before and after radiotherapy
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) and Pancreatic and Hepatic Oncology Research (19 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 Gastroenterology, Annals of Surgery and The Journal of Urology.

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.

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