S. Kataoka

669 citations
28 papers · 482 indexed · h-index 11
Topics
Cell death mechanisms and regulation (5 papers)Image and Signal Denoising Methods (5 papers)Medical Image Segmentation Techniques (3 papers)

In The Last Decade

S. Kataoka

26 papers receiving 474 citations

Peers

S. Kataoka
Comparison fields: 5 of 90
  • Molecular Biology 233
  • Immunology 87
  • Oncology 59
  • Rheumatology 50
  • Neurology 49
Replace Alyson Prorock with:
Alyson Prorock United States
Meng Cui China
Jonathan C. Henriksen United States
Vaibhav Singh India
Nicholas C. Spies United States
Michiel van den Brand Netherlands
Davide Cangelosi Italy
Sue Kong United States
Lara R. Heij Netherlands
Nguyen C. Pham United States
S. Kataoka relative to Alyson Prorock United States Alyson Prorock's profile →
Citations per field
00.5×3.3×
Alyson Prorock · 1×
Citations per year

Countries citing papers authored by S. Kataoka

Since Specialization
Citations

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

Fields of papers citing papers by S. Kataoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kataoka

This figure shows the co-authorship network connecting the top 25 collaborators of S. Kataoka. A scholar is included among the top collaborators of S. Kataoka 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 S. Kataoka. S. Kataoka 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 4
2 2
3 5
4 1
5 10
6 8
7 55
8 5
9 20
10 5
11 5
12 3
13 19
14 0
15 69
16 25
17
Cytokinetic and morphologic differences in ovarian cancer cells treated with ET-18-OCH3 and the DNA-interacting agent, etoposide.
3
18 138
19 10
20 23

About S. Kataoka

S. Kataoka is a scholar working on Signal Processing, Statistics and Probability and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 482 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Image and Signal Denoising Methods (5 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Immunology (87 citations), Molecular Biology (233 citations) and Rheumatology (50 citations). S. Kataoka has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include T Tsuruo, Mikihiko Naito, Tetsuo Mashima, Hidehiko Kawai, Kazuyuki Tanaka, Genjiro Hirose, Kazuhiro Motoki, I. Ishida, Kazuma Tomizuka and Masanori Hanaoka. Their work appears in journals such as Neurology, Biochemical and Biophysical Research Communications and Cell Death and Differentiation.

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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