Satoshi Oota

1.2k total citations
12 papers, 209 citations indexed

About

Satoshi Oota is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Satoshi Oota has authored 12 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Satoshi Oota's work include Genomics and Phylogenetic Studies (3 papers), Bat Biology and Ecology Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Satoshi Oota is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Bat Biology and Ecology Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Satoshi Oota collaborates with scholars based in Japan, Sweden and United States. Satoshi Oota's co-authors include Naruya Saitou, Kiyoshi Ezawa, Atsushi Yoshiki, Kazuyuki Mekada, Kazuo Moriwaki, Yuichi Obata, Hideo Gotoh, Toshihiko Shiroishi, Nobumoto Miyashita and Hideki Kato and has published in prestigious journals such as PLoS ONE, Molecular Biology and Evolution and Methods.

In The Last Decade

Satoshi Oota

11 papers receiving 203 citations

Peers

Satoshi Oota

MB

GENET

PS

BE

CMN

Greg Poynter United States

Luisa Gioia Italy

Qianzhi Shao China

Jorge Hidalgo United States

Dominika Fričová Slovakia

Dorothea Schultheis Germany

Jin Sun China

William J. Rowell United States

Qing Sunny Shen China

Sylvie Rival‐Gervier France

Greg Poynter United States

Satoshi Oota

210 ×1.5

MB

147 ×2.2

GENET

22 ×0.5

PS

15 ×0.8

BE

15 ×0.8

CMN

Citations per year, relative to Satoshi Oota Satoshi Oota (= 1×) peers Greg Poynter

Countries citing papers authored by Satoshi Oota

Since Specialization

Citations

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

Fields of papers citing papers by Satoshi Oota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoshi Oota

This figure shows the co-authorship network connecting the top 25 collaborators of Satoshi Oota. A scholar is included among the top collaborators of Satoshi Oota 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 Satoshi Oota. Satoshi Oota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Oota, Satoshi. (2019). Somatic mutations – Evolution within the individual. Methods. 176. 91–98. 4 indexed citations

2.

Oota, Satoshi, Akihiko Murai, & Masaaki Mochimaru. (2019). Lucid Virtual/Augmented Reality (LVAR) Integrated with an Endoskeletal Robot Suit: StillSuit: A new framework for cognitive and physical interventions to support the ageing society. 3 indexed citations

3.

Oota, Satoshi, et al.. (2019). Development of the Neurorobotic Mouse. 299–304. 13 indexed citations

4.

Oota, Satoshi, Yuko Okamura-Oho, Ko Ayusawa, et al.. (2018). Neurorobotic Approach to Study Huntington Disease Based on a Mouse Neuromusculoskeletal Model. 27. 6720–6727. 3 indexed citations

5.

Ayusawa, Ko, Yosuke Ikegami, Akihiko Murai, et al.. (2018). Interspecies Retargeting of Homologous Body Posture Based on Skeletal Morphing. 15. 6712–6719. 2 indexed citations

6.

Suzuki, Hiromasa, et al.. (2012). CT Image Segmentation Using FEM with Optimized Boundary Condition. PLoS ONE. 7(2). e31116–e31116. 3 indexed citations

7.

Oota, Satoshi, Kazuhiro Kawamura, Yosuke Kawai, & Naruya Saitou. (2010). A New Framework for Studying the Isochore Evolution: Estimation of the Equilibrium GC Content Based on the Temporal Mutation Rate Model. Genome Biology and Evolution. 2. 558–571. 2 indexed citations

8.

Oota, Satoshi, et al.. (2009). Four-dimensional quantitative analysis of the gait of mutant mice using coarse-grained motion capture. PubMed. 2009. 5227–5230. 6 indexed citations

9.

Moriwaki, Kazuo, Nobumoto Miyashita, Akihiko Mita, et al.. (2009). Unique Inbred Strain MSM/Ms Established from the Japanese Wild Mouse. EXPERIMENTAL ANIMALS. 58(2). 123–134. 49 indexed citations

10.

Ezawa, Kiyoshi, Satoshi Oota, & Naruya Saitou. (2006). Genome-Wide Search of Gene Conversions in Duplicated Genes of Mouse and Rat. Molecular Biology and Evolution. 23(5). 927–940. 66 indexed citations

11.

Oota, Satoshi & Naruya Saitou. (1999). Phylogenetic relationship of muscle tissues deduced from superimposition of gene trees. Molecular Biology and Evolution. 16(6). 856–867. 57 indexed citations

12.

Oota, Satoshi & Naruya Saitou. (1997). Reconstruction of Maximum Likelihood Phylogenetic Trees in Parallel Environment Using Logic Programming. Proceedings Genome Informatics Workshop/Genome informatics. 8. 326–327. 1 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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