Masahito Irie

16 total papers · 506 total citations
7 papers, 139 citations indexed

About

Masahito Irie is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Masahito Irie has authored 7 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Masahito Irie's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Chromosomal and Genetic Variations (2 papers) and Bacterial Genetics and Biotechnology (1 paper). Masahito Irie is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Chromosomal and Genetic Variations (2 papers) and Bacterial Genetics and Biotechnology (1 paper). Masahito Irie collaborates with scholars based in Japan. Masahito Irie's co-authors include Tomoko Kaneko‐Ishino, Fumitoshi Ishino, Ryuichi Ono, Ikuko Yamada, Shigeharu Wakana, Tamio Furuse, Minesuke Yokoyama, Mie Naruse, Kanako Oda and Kenji Nakamura and has published in prestigious journals such as Development, International Journal of Molecular Sciences and PLoS Genetics.

In The Last Decade

Masahito Irie

6 papers receiving 137 citations

Author Peers

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

Author						Papers	Cites
Masahito Irie	87	53	49	22	21	7	139
Tessa M. Bertozzi	201 2.3×	71 1.3×	65 1.3×	45 2.0×	4 0.2×	8	236
Anastasiya Kazachenka	222 2.6×	68 1.3×	63 1.3×	34 1.5×	5 0.2×	10	266
Tammy Kammin	58 0.7×	54 1.0×	8 0.2×	13 0.6×	37 1.8×	5	115
Avery Davis Bell	73 0.8×	61 1.2×	30 0.6×	26 1.2×	9 0.4×	9	126
Ana Martínez-Marchal	139 1.6×	50 0.9×	13 0.3×	25 1.1×	21 1.0×	6	218
Vincent Guichard	218 2.5×	21 0.4×	52 1.1×	7 0.3×	8 0.4×	8	273
David H. Meyer	153 1.8×	21 0.4×	9 0.2×	14 0.6×	5 0.2×	9	227
Lisi Sang	168 1.9×	59 1.1×	26 0.5×	11 0.5×	8 0.4×	5	198
Sofia Papadimitriou	106 1.2×	102 1.9×	32 0.7×	6 0.3×	5 0.2×	8	186
Ruimin Xu	217 2.5×	32 0.6×	30 0.6×	43 2.0×	8 0.4×	8	265

Countries citing papers authored by Masahito Irie

Since Specialization

Citations

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

Fields of papers citing papers by Masahito Irie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahito Irie

This figure shows the co-authorship network connecting the top 25 collaborators of Masahito Irie. A scholar is included among the top collaborators of Masahito Irie 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 Masahito Irie. Masahito Irie 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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