Yoko Satoh

828 citations
37 papers · 617 indexed · h-index 13
Topics
Medical Imaging Techniques and Applications (21 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Lung Cancer Diagnosis and Treatment (6 papers)
Partner nations
JapanUnited States

In The Last Decade

Yoko Satoh

36 papers receiving 600 citations

Peers

Yoko Satoh
Comparison fields: 5 of 86
  • Radiology, Nuclear Medicine and Imaging 289
  • Pulmonary and Respiratory Medicine 182
  • Endocrine and Autonomic Systems 91
  • Surgery 79
  • Physiology 75
Replace Liran Domachevsky with:
Liran Domachevsky Israel
Muge Karaman United States
Daniel Appelbaum United States
Miaomiao Zhu China
Ji Chen China
C. Dejean France
Qing Zhao China
Chris Y. Wu United States
Mubarik Arshad United Kingdom
Satoko Eguchi Japan
Yoko Satoh relative to Liran Domachevsky Israel Liran Domachevsky's profile →
Citations per field
00.5×6.5×
Liran Domachevsky · 1×
Citations per year

Countries citing papers authored by Yoko Satoh

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Satoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Satoh

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Satoh. A scholar is included among the top collaborators of Yoko Satoh 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 Yoko Satoh. Yoko Satoh 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 6
2 1
3 1
4 3
5 12
6 12
7 4
8 12
9 6
10 7
11 6
12 19
13 24
14 10
15 81
16 5
17 10
18 17
19
虚血性血管新生のための骨髄由来内皮前駆細胞の動員に関与する顆粒状コロニー刺激因子(G-CSF)
2
20 3

About Yoko Satoh

Yoko Satoh is a scholar working on Microbiology, Radiology, Nuclear Medicine and Imaging and Otorhinolaryngology, having authored 37 papers that have together received 617 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (21 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (91 citations), Radiology, Nuclear Medicine and Imaging (289 citations) and Aging (15 citations). Yoko Satoh has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroshi Onishi, Tsutomu Araki, Atsushi Nambu, Yoichi Kawashima, Atsushi Mitsumoto, Naomi Kudo, Hiroshi Kawai, Nobuto Shibata, Masaki Nishimura and Tomoaki Ichikawa. Their work appears in journals such as Blood, Radiology and American Journal of Roentgenology.

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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