Sato Eida

785 total citations
24 papers, 594 citations indexed

About

Sato Eida is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology. According to data from OpenAlex, Sato Eida has authored 24 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 11 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Otorhinolaryngology. Recurrent topics in Sato Eida's work include Salivary Gland Tumors Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Sato Eida is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (13 papers), MRI in cancer diagnosis (8 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Sato Eida collaborates with scholars based in Japan and Australia. Sato Eida's co-authors include Misa Sumi, Takashi Nakamura, Noriyuki Sakihama, Haruo Takahashi, Masafumi Ohki, Koichi Yonetsu, Miho Sasaki, Ikuo Katayama, Toshiro Yamada and Yuka Hotokezaka and has published in prestigious journals such as PLoS ONE, Scientific Reports and American Journal of Neuroradiology.

In The Last Decade

Sato Eida

23 papers receiving 585 citations

Peers

Sato Eida
Comparison fields: 5 of 55
  • Surgery 370
  • Radiology, Nuclear Medicine and Imaging 286
  • Otorhinolaryngology 121
  • Oncology 114
  • Rheumatology 84
Replace Tadateru Sumi with:
Tadateru Sumi Japan
Nicolas Dulguerov Switzerland
Mayumi Yasumoto Japan
R.B.J. de Bondt Netherlands
Jolijn Brouwer Netherlands
H. Czembirek Austria
Marco Cianchetti Italy
Luigi Corcione Italy
Nermin Soliman Egypt
Janet Woodroof United States
Tadateru Sumi Japan View profile →
Citations per field, relative to Sato Eida
Sato Eida · 1×
Citations per year, relative to Sato Eida
Sato Eida · 1×

Countries citing papers authored by Sato Eida

Since Specialization
Citations

This map shows the geographic impact of Sato Eida'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 Sato Eida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sato Eida more than expected).

Fields of papers citing papers by Sato Eida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sato Eida. 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 Sato Eida. The network helps show where Sato Eida may publish in the future.

Co-authorship network of co-authors of Sato Eida

This figure shows the co-authorship network connecting the top 25 collaborators of Sato Eida. A scholar is included among the top collaborators of Sato Eida 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 Sato Eida. Sato Eida 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
# Work Indexed citations
1 1
2 9
3 0
4 1
5 15
6 5
7 6
8 34
9 4
10 13
11 18
12 8
13 11
14 3
15 34
16 67
17 49
18 49
19
Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy.
166
20 28

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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