S. Kataoka

669 total citations
28 papers, 482 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 482 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 Cell death mechanisms and regulation (5 papers), Image and Signal Denoising Methods (5 papers) and Medical Image Segmentation Techniques (3 papers). S. Kataoka is often cited by papers focused on Cell death mechanisms and regulation (5 papers), Image and Signal Denoising Methods (5 papers) and Medical Image Segmentation Techniques (3 papers). S. Kataoka collaborates with scholars based in Japan, France and Taiwan. 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 Hirotaka Kaneko 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 474 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. Kataoka Japan 11 233 87 59 50 49 28 482
Lei Mao China 15 351 1.5× 77 0.9× 54 0.9× 38 0.8× 106 2.2× 63 820
Vaibhav Singh India 15 266 1.1× 67 0.8× 86 1.5× 48 1.0× 30 0.6× 41 613
Meng Cui China 11 142 0.6× 100 1.1× 99 1.7× 30 0.6× 70 1.4× 32 466
Michiel van den Brand Netherlands 17 312 1.3× 83 1.0× 217 3.7× 39 0.8× 50 1.0× 44 804
Markus Ruschhaupt Germany 13 436 1.9× 80 0.9× 124 2.1× 41 0.8× 15 0.3× 17 704
Yidan Zhang China 10 215 0.9× 114 1.3× 26 0.4× 23 0.5× 16 0.3× 45 466
Mark W. Tengowski United States 10 407 1.7× 24 0.3× 90 1.5× 27 0.5× 24 0.5× 18 746
Peng Han China 12 187 0.8× 49 0.6× 50 0.8× 26 0.5× 60 1.2× 51 422
Xuguo Sun China 13 250 1.1× 23 0.3× 38 0.6× 50 1.0× 15 0.3× 35 471
Alyson Prorock United States 7 259 1.1× 190 2.2× 116 2.0× 24 0.5× 15 0.3× 9 806

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
1.
Kataoka, S., et al.. (2019). Bayesian Image Denoising with Multiple Noisy Images. RePEc: Research Papers in Economics. 13(2). 267–280. 4 indexed citations
2.
Kataoka, S., et al.. (2018). Linear-Time Algorithm in Bayesian Image Denoising based on Gaussian Markov Random Field. IEICE Transactions on Information and Systems. E101.D(6). 1629–1639. 2 indexed citations
3.
Kataoka, S., et al.. (2015). Statistical analysis of loopy belief propagation in random fields. Physical Review E. 92(4). 42120–42120. 5 indexed citations
4.
Kataoka, S., et al.. (2015). Bayesian Reconstruction of Missing Observations. Interdisciplinary Information Sciences. 21(1). 11–23. 1 indexed citations
5.
Kataoka, S., et al.. (2014). Traffic data reconstruction based on Markov random field modeling. Inverse Problems. 30(2). 25003–25003. 10 indexed citations
6.
Kataoka, S., et al.. (2012). Statistical Analysis of Gaussian Image Inpainting Problems. Journal of the Physical Society of Japan. 81(2). 25001–25001. 3 indexed citations
7.
Gono, Takahisa, Yasushi Kawaguchi, Hirotaka Kaneko, et al.. (2011). Anti-NR2A antibody as a predictor for neuropsychiatric systemic lupus erythematosus. Lara D. Veeken. 50(9). 1578–1585. 55 indexed citations
8.
Shibata, Yasuko, Teruaki Shiroza, S. Kataoka, et al.. (2011). Characterization of human‐type monoclonal antibodies against reduced form of hemin binding protein 35 from Porphyromonas gingivalis. Journal of Periodontal Research. 46(6). 673–681. 5 indexed citations
9.
Nagane, Motoo, Saki Shimizu, Eiichiro Mori, S. Kataoka, & Yoshiaki Shiokawa. (2010). Predominant antitumor effects by fully human anti-TRAIL-receptor2 (DR5) monoclonal antibodies in human glioma cells in vitro and in vivo. Neuro-Oncology. 12(7). 687–700. 20 indexed citations
10.
Tanaka, Kazuyuki, et al.. (2010). Statistical performance analysis by loopy belief propagation in Bayesian image modeling. Journal of Physics Conference Series. 233. 12013–12013. 5 indexed citations
11.
Kataoka, S., et al.. (2010). Statistical Performance Analysis in Probabilistic Image Processing. Journal of the Physical Society of Japan. 79(2). 25001–25001. 5 indexed citations
12.
Sata, Fumihiro, Ai Yamada, Eiji Kato, et al.. (2005). Recurrent pregnancy loss. European Journal of Clinical Investigation. 35(s2). 3 indexed citations
13.
Kataoka, S., et al.. (2004). Neonatal alloimmune thrombocytopenia due to an antibody against a labile component of human platelet antigen‐3b (Bakb). Transfusion Medicine. 14(6). 419–423. 19 indexed citations
14.
Motoki, Kazuhiro, et al.. (2003). Human normal hepatocytes are susceptible to apoptosis signal mediated by both TRAIL-R1 and TRAIL-R2. Cell Death and Differentiation. 11(2). 203–207. 69 indexed citations
15.
Kikuchi, Tohru, N Hashimoto, Tomohiro Kawasaki, et al.. (1998). Plasma levels of carboxy terminal propeptide of type I procollagen and pyridinoline cross‐linked telopeptide of type I collagen in healthy school children. Acta Paediatrica. 87(8). 825–829. 16 indexed citations
16.
Fujiwara, Keiichi, et al.. (1997). Cytokinetic and morphologic differences in ovarian cancer cells treated with ET-18-OCH3 and the DNA-interacting agent, etoposide.. PubMed. 17(3C). 2159–67. 3 indexed citations
17.
Yamamoto, K., et al.. (1997). High incidence of angiotensin I converting enzyme genotype II in Kawasaki disease patients with coronary aneurysm. European Journal of Pediatrics. 156(4). 266–268. 25 indexed citations
18.
Mashima, Tetsuo, Mikihiko Naito, S. Kataoka, Hidehiko Kawai, & T Tsuruo. (1995). Aspartate-Based Inhibitor of Interleukin-1β-Converting Enzyme Prevents Antitumor Agent-Induced Apoptosis in Human Myeloid Leukemia U937 Cells. Biochemical and Biophysical Research Communications. 209(3). 907–915. 138 indexed citations
19.
Hirose, Genjiro, et al.. (1990). Acute effects of anticonvulsants on brain-stem auditory evoked potentials in rats. Electroencephalography and Clinical Neurophysiology. 75(6). 543–547. 10 indexed citations
20.
Kataoka, S., et al.. (1989). Brain stem type neuro-Beh�et's syndrome. Neuroradiology. 31(3). 258–262. 23 indexed citations

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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