Aiko Matsuura

661 total citations
10 papers, 453 citations indexed

About

Aiko Matsuura is a scholar working on Molecular Biology, Immunology and Aquatic Science. According to data from OpenAlex, Aiko Matsuura has authored 10 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Aquatic Science. Recurrent topics in Aiko Matsuura's work include Aquaculture Nutrition and Growth (3 papers), Genetic diversity and population structure (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Aiko Matsuura is often cited by papers focused on Aquaculture Nutrition and Growth (3 papers), Genetic diversity and population structure (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Aiko Matsuura collaborates with scholars based in Japan, Saudi Arabia and Germany. Aiko Matsuura's co-authors include Tsukasa Matsuda, Tetsuya Okajima, Koichi Furukawa, Kosuke Murakami, Yuta Sakaidani, Daita Nadano, Tatsuhiko Kondo, Tomoko Nomura, Emiko Suzuki and Atushi Fujiwara and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Aiko Matsuura

9 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aiko Matsuura Japan 8 335 131 117 65 60 10 453
Saurabh G. Roy United States 10 278 0.8× 150 1.1× 15 0.1× 42 0.6× 75 1.3× 10 574
Mireille Schäfer Germany 16 594 1.8× 154 1.2× 64 0.5× 99 1.5× 278 4.6× 19 788
Silke Reiter Switzerland 9 280 0.8× 38 0.3× 52 0.4× 42 0.6× 15 0.3× 11 439
Tory Herman United States 7 502 1.5× 29 0.2× 20 0.2× 44 0.7× 58 1.0× 9 640
Iron F. De Paula Brazil 8 221 0.7× 61 0.5× 33 0.3× 23 0.4× 43 0.7× 9 360
Martin Hollmann Germany 9 368 1.1× 111 0.8× 64 0.5× 43 0.7× 81 1.4× 11 457
Ana-Cristina E.S. Vilela-Silva Brazil 8 119 0.4× 13 0.1× 47 0.4× 38 0.6× 40 0.7× 10 430
Michihira Tagami Japan 8 390 1.2× 48 0.4× 7 0.1× 50 0.8× 113 1.9× 17 523
Ennio Giordano Italy 15 555 1.7× 64 0.5× 56 0.5× 154 2.4× 154 2.6× 34 813
Justin Jeyakani Singapore 10 925 2.8× 81 0.6× 30 0.3× 494 7.6× 160 2.7× 12 1.0k

Countries citing papers authored by Aiko Matsuura

Since Specialization
Citations

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

Fields of papers citing papers by Aiko Matsuura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiko Matsuura

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

All Works

10 of 10 papers shown
3.
Yoshitake, Kazutoshi, Atushi Fujiwara, Aiko Matsuura, et al.. (2021). Estimation of tuna population by the improved analytical pipeline of unique molecular identifier-assisted HaCeD-Seq (haplotype count from eDNA). Scientific Reports. 11(1). 7031–7031. 10 indexed citations
4.
Nishiki, Issei, et al.. (2019). Improvement of the Pacific bluefin tuna (Thunnus orientalis) reference genome and development of male-specific DNA markers. Scientific Reports. 9(1). 14450–14450. 43 indexed citations
5.
Nomura, Kazuharu, Atushi Fujiwara, Yuki Iwasaki, et al.. (2018). Genetic parameters and quantitative trait loci analysis associated with body size and timing at metamorphosis into glass eels in captive-bred Japanese eels (Anguilla japonica). PLoS ONE. 13(8). e0201784–e0201784. 7 indexed citations
6.
Yasuike, Motoshige, Yuki Iwasaki, Issei Nishiki, et al.. (2018). The yellowtail (Seriola quinqueradiata) genome and transcriptome atlas of the digestive tract. DNA Research. 25(5). 547–560. 20 indexed citations
7.
Hamamoto, Shin, Koko Moriya, Aiko Matsuura, et al.. (2018). N‐myristoylation and S‐acylation are common modifications of Ca2+‐regulated Arabidopsis kinases and are required for activation of the SLAC1 anion channel. New Phytologist. 218(4). 1504–1521. 61 indexed citations
8.
Sakaidani, Yuta, Tomoko Nomura, Aiko Matsuura, et al.. (2011). O-Linked-N-acetylglucosamine on extracellular protein domains mediates epithelial cell–matrix interactions. Nature Communications. 2(1). 146 indexed citations
9.
Okajima, Tetsuya, Aiko Matsuura, & Tsukasa Matsuda. (2008). Biological Functions of Glycosyltransferase Genes Involved in O-fucose Glycan Synthesis. The Journal of Biochemistry. 144(1). 1–6. 22 indexed citations
10.
Matsuura, Aiko, Yuta Sakaidani, Tatsuhiko Kondo, et al.. (2008). O-Linked N-Acetylglucosamine Is Present on the Extracellular Domain of Notch Receptors. Journal of Biological Chemistry. 283(51). 35486–35495. 141 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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