Mayumi Masuda

19 total papers · 454 total citations
12 papers, 369 citations indexed

About

Mayumi Masuda is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mayumi Masuda has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mayumi Masuda's work include Neurotransmitter Receptor Influence on Behavior (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Mayumi Masuda is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Mayumi Masuda collaborates with scholars based in Japan. Mayumi Masuda's co-authors include Kazuhiro Imai, Makoto Tsunoda, Takeshi Iwatsubo, Hisatomo Kowa, Shohei Mitani, Keiko Gengyo‐Ando, Akihiko Koyama, Tomoki Kuwahara, Tomofumi Santa and Norio Takamura and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Analytical Chemistry.

In The Last Decade

Mayumi Masuda

11 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Mayumi Masuda 141 81 78 71 66 12 369
Wei-Yi Ong 220 1.6× 36 0.4× 21 0.3× 4 0.1× 86 1.3× 13 428
Congcong Jia 160 1.1× 50 0.6× 13 0.2× 13 0.2× 44 0.7× 21 333
Irene Arduini 251 1.8× 104 1.3× 12 0.2× 5 0.1× 62 0.9× 7 360
Nobuko Matsumura 171 1.2× 43 0.5× 14 0.2× 8 0.1× 54 0.8× 18 434
Pol Picón-Pagès 147 1.0× 25 0.3× 11 0.1× 4 0.1× 169 2.6× 10 406
S.N. Rao 234 1.7× 11 0.1× 49 0.6× 3 0.0× 79 1.2× 14 384
Joe Healy 175 1.2× 42 0.5× 22 0.3× 2 0.0× 33 0.5× 7 351
Aicha El Allam 131 0.9× 55 0.7× 4 0.1× 7 0.1× 31 0.5× 13 346
Santiago Solé‐Domènech 162 1.1× 26 0.3× 71 0.9× 4 0.1× 164 2.5× 12 431
H Maharaj 73 0.5× 88 1.1× 3 0.0× 12 0.2× 39 0.6× 10 334

Countries citing papers authored by Mayumi Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Masuda

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