Satoko Takemoto

507 citations
24 papers · 350 indexed · h-index 8
Topics
Cell Image Analysis Techniques (8 papers)Medical Image Segmentation Techniques (5 papers)Genetic and phenotypic traits in livestock (4 papers)

In The Last Decade

Satoko Takemoto

22 papers receiving 341 citations

Peers

Satoko Takemoto
Comparison fields: 5 of 68
  • Molecular Biology 176
  • Oncology 70
  • Radiology, Nuclear Medicine and Imaging 69
  • Pulmonary and Respiratory Medicine 62
  • Artificial Intelligence 45
Replace Tomoharu Kiyuna with:
Tomoharu Kiyuna Japan
Jen‐Yeu Wang United States
Shumpei Ishikawa Japan
Taylor E. Arnoff United States
Rocío del Amor Spain
Mariana T. Rezende Brazil
Liang-Bo Wang United States
Sydney Gang United States
Camden Richter United States
Satoko Takemoto relative to Tomoharu Kiyuna Japan Tomoharu Kiyuna's profile →
Citations per field
00.5×1.5×1.9×
Tomoharu Kiyuna · 1×
Citations per year

Countries citing papers authored by Satoko Takemoto

Since Specialization
Citations

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

Fields of papers citing papers by Satoko Takemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoko Takemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Satoko Takemoto. A scholar is included among the top collaborators of Satoko Takemoto 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 Satoko Takemoto. Satoko Takemoto 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 5
2 5
3 2
4 7
5 0
6 2
7 93
8 4
9 6
10 7
11 2
12 147
13 17
14 3
15 1
16 13
17
Semi-automated Color Segmentation from a Biological Cross-sectional Image Series : Follicle Segmentation for Visualization of the Equine Ovary
1
18 15
19 2
20 0

About Satoko Takemoto

Satoko Takemoto is a scholar working on Biophysics, Equine and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 350 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (8 papers), Medical Image Segmentation Techniques (5 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Biophysics (35 citations), Health Informatics (8 citations) and Radiology, Nuclear Medicine and Imaging (69 citations). Satoko Takemoto has collaborated with scholars based in Japan, Singapore and Switzerland. Frequent co-authors include Hideo Yokota, Keisuke Hori, Tomonori Yano, Hiroaki Ikematsu, Y. Sakai, Naoko Imamoto, Chan‐Gi Pack, Kazunari Kaizu, Masataka Kinjo and Tadasu Nozaki. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology and PLoS ONE.

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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