S. Kataoka

58 total papers · 667 total citations
28 papers, 480 citations indexed

About

S. Kataoka is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Immunology. According to data from OpenAlex, S. Kataoka has authored 28 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Immunology. Recurrent topics in S. Kataoka's work include Image and Signal Denoising Methods (5 papers), Cell death mechanisms and regulation (5 papers) and Medical Image Segmentation Techniques (3 papers). S. Kataoka is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Cell death mechanisms and regulation (5 papers) and Medical Image Segmentation Techniques (3 papers). S. Kataoka collaborates with scholars based in Japan, Taiwan and United Kingdom. S. Kataoka's co-authors include T Tsuruo, Mikihiko Naito, Hidehiko Kawai, Tetsuo Mashima, Kazuyuki Tanaka, Genjiro Hirose, Kazuma Tomizuka, I. Ishida, Kazuhiro Motoki and Takahisa Gono and has published in prestigious journals such as Neurology, Biochemical and Biophysical Research Communications and Cell Death and Differentiation.

In The Last Decade

S. Kataoka

26 papers receiving 472 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S. Kataoka 235 87 59 50 49 28 480
Ping Fan 144 0.6× 54 0.6× 61 1.0× 49 1.0× 46 0.9× 30 450
Robert Roth 314 1.3× 56 0.6× 47 0.8× 33 0.7× 26 0.5× 23 509
Atsuko Shimizu 300 1.3× 45 0.5× 58 1.0× 25 0.5× 75 1.5× 23 477
Maria Stensland 177 0.8× 89 1.0× 41 0.7× 57 1.1× 21 0.4× 30 432
Lu Xue 179 0.8× 71 0.8× 71 1.2× 40 0.8× 42 0.9× 34 506
Meng Cui 142 0.6× 100 1.1× 99 1.7× 30 0.6× 69 1.4× 32 460
Min Li 188 0.8× 64 0.7× 69 1.2× 18 0.4× 105 2.1× 20 534
Wei Liu 195 0.8× 75 0.9× 46 0.8× 20 0.4× 21 0.4× 35 445
Indira Joshi 209 0.9× 93 1.1× 116 2.0× 16 0.3× 21 0.4× 30 465
Yasuo Kuroki 149 0.6× 108 1.2× 101 1.7× 190 3.8× 39 0.8× 20 447

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

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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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