Akari Ishikawa

945 total citations
13 papers, 180 citations indexed

About

Akari Ishikawa is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Clinical Psychology. According to data from OpenAlex, Akari Ishikawa has authored 13 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Clinical Psychology. Recurrent topics in Akari Ishikawa's work include Muscle activation and electromyography studies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Advanced Vision and Imaging (2 papers). Akari Ishikawa is often cited by papers focused on Muscle activation and electromyography studies (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Advanced Vision and Imaging (2 papers). Akari Ishikawa collaborates with scholars based in Japan and Brazil. Akari Ishikawa's co-authors include Yasuhiro Onogi, Toshiyasu Sasaoka, Tsutomu Wada, Hiroshi Tsuneki, Eri Watanabe, Sandra Avila, Daisuke Koya, Hiroe Honda, Norishige Fukushima and Masakiyo Sasahara and has published in prestigious journals such as PLoS ONE, Diabetologia and Epilepsia.

In The Last Decade

Akari Ishikawa

13 papers receiving 177 citations

Peers

Akari Ishikawa

EPIDE

MB

IMMUN

EDM

PHYSI

Julia Sidorova Spain

Sadia Ashraf United States

Freekje van Asten Netherlands

Renjie Li Australia

Dong Lin China

Saras Saraswathi Qatar

Zhaoqi Liu China

Xiaojuan Hu China

Sundararajan Srinivasan United Kingdom

Zhu Xiao China

Julia Sidorova Spain

Akari Ishikawa

34 ×0.9

EPIDE

46 ×1.2

MB

17 ×0.5

IMMUN

9 ×0.3

EDM

29 ×1.0

PHYSI

Citations per year, relative to Akari Ishikawa Akari Ishikawa (= 1×) peers Julia Sidorova

Countries citing papers authored by Akari Ishikawa

Since Specialization

Citations

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

Fields of papers citing papers by Akari Ishikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akari Ishikawa

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

All Works

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13 of 13 papers shown

1.

Wada, Tsutomu, Akari Ishikawa, Yasuhiro Onogi, et al.. (2021). Oestrogen receptor α in T cells controls the T cell immune profile and glucose metabolism in mouse models of gestational diabetes mellitus. Diabetologia. 64(7). 1660–1673. 10 indexed citations

2.

Ishikawa, Akari, Tsutomu Wada, Yasuhiro Onogi, et al.. (2020). Estrogen regulates sex-specific localization of regulatory T cells in adipose tissue of obese female mice. PLoS ONE. 15(4). e0230885–e0230885. 32 indexed citations

3.

Ishikawa, Akari, Hiroshi Tajima, & Norishige Fukushima. (2020). Halide implementation of weighted median filter. 42–42. 4 indexed citations

4.

Ishikawa, Akari, et al.. (2019). Combating the Elsagate Phenomenon: Deep Learning Architectures for Disturbing Cartoons. 1–6. 17 indexed citations

5.

Ishikawa, Akari, Mateus Henrique Nogueira, Tamires Zanão, et al.. (2019). Anxiety and depression symptoms disrupt resting state connectivity in patients with genetic generalized epilepsies. Epilepsia. 60(4). 679–688. 10 indexed citations

6.

Ishikawa, Akari, et al.. (2019). Halide and GENESIS for Generating Domain-Specific Architecture of Guided Image Filtering. 33. 1–5. 9 indexed citations

7.

Ishikawa, Akari, Sandra Avila, & Mauricio Pérez. (2018). Pornographic cartoon video detection through deep neural networks. 1 indexed citations

8.

Ishikawa, Akari, et al.. (2018). Synthetic Glycopeptides Allow for the Quantitation of Scarce Nonfucosylated IgG Fc N-Glycans of Therapeutic Antibody. ACS Medicinal Chemistry Letters. 9(9). 889–894. 10 indexed citations

9.

Ishikawa, Akari, et al.. (2017). A hybrid approach for the actuation of upper limb prostheses based on computer vision. 1–6. 9 indexed citations

10.

Wada, Tsutomu, Akari Ishikawa, Eri Watanabe, et al.. (2017). Eplerenone prevented obesity-induced inflammasome activation and glucose intolerance. Journal of Endocrinology. 235(3). 179–191. 53 indexed citations

11.

Ishikawa, Akari, et al.. (2017). HUMAN MACHINE INTERFACE FOR HAND PROSTHESIS BASED ON COMPUTER VISION AND ELECTROMYOGRAPHY. Anais do Congresso de Iniciação Científica da Unicamp. 1 indexed citations

12.

Hayakawa, Yoichi, et al.. (2015). Curromycin A as a GRP78 downregulator and a new cyclic dipeptide from Streptomyces sp.. The Journal of Antibiotics. 69(3). 187–188. 8 indexed citations

13.

Tanaka, Naotake, et al.. (1987). CYBEST Model 4. Automated cytologic screening system for uterine cancer utilizing image analysis processing.. PubMed. 9(5). 449–54. 16 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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