Makiko Kashio

56 total papers · 1.4k total citations
36 papers, 1.0k citations indexed

About

Makiko Kashio is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Makiko Kashio has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Sensory Systems, 16 papers in Cellular and Molecular Neuroscience and 12 papers in Nutrition and Dietetics. Recurrent topics in Makiko Kashio's work include Ion Channels and Receptors (26 papers), Neurobiology and Insect Physiology Research (16 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Makiko Kashio is often cited by papers focused on Ion Channels and Receptors (26 papers), Neurobiology and Insect Physiology Research (16 papers) and Biochemical Analysis and Sensing Techniques (11 papers). Makiko Kashio collaborates with scholars based in Japan, China and Uzbekistan. Makiko Kashio's co-authors include Makoto Tominaga, Takaaki Sokabe, Yasuo Mori, Naomi Fukuta, Noritada Kobayashi, Takayuki Uematsu, Azusa Sato, Yuji Yasukochi, Yasuyoshi Ohsaki and Kunihiro Shiomi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Makiko Kashio

33 papers receiving 998 citations

Author Peers

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

Author						Papers	Cites
Makiko Kashio	530	278	217	182	153	36	1.0k
Shaya Lev	308 0.6×	253 0.9×	265 1.2×	91 0.5×	261 1.7×	32	1.2k
Nils Damann	799 1.5×	325 1.2×	233 1.1×	237 1.3×	217 1.4×	11	1.1k
Brett Boonen	515 1.0×	195 0.7×	189 0.9×	130 0.7×	204 1.3×	19	869
Tatjana I. Kichko	504 1.0×	345 1.2×	315 1.5×	113 0.6×	191 1.2×	18	1.0k
Derek Cosens	338 0.6×	503 1.8×	325 1.5×	96 0.5×	56 0.4×	38	967
Gerardo Orta	533 1.0×	357 1.3×	444 2.0×	134 0.7×	127 0.8×	20	1.2k
Gustavo Petri Guerra	225 0.4×	228 0.8×	345 1.6×	64 0.4×	251 1.6×	55	1.2k
Jun Chen	655 1.2×	382 1.4×	400 1.8×	117 0.6×	234 1.5×	34	1.1k
Dieter D’hoedt	409 0.8×	307 1.1×	606 2.8×	97 0.5×	94 0.6×	13	973
Sungjae Yoo	427 0.8×	212 0.8×	156 0.7×	117 0.6×	262 1.7×	18	798

Countries citing papers authored by Makiko Kashio

Since Specialization

Citations

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

Fields of papers citing papers by Makiko Kashio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Kashio

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