Tsuyoshi Mayumi

25 total papers · 760 total citations
18 papers, 664 citations indexed

About

Tsuyoshi Mayumi is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tsuyoshi Mayumi has authored 18 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pharmacology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tsuyoshi Mayumi's work include Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Tsuyoshi Mayumi is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Mass Spectrometry Techniques and Applications (3 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Tsuyoshi Mayumi collaborates with scholars based in Japan, United States and United Kingdom. Tsuyoshi Mayumi's co-authors include Ken‐ichi Harada, Kiyonaga Fujii, Yoshitomo Ikai, Hisao Oka, Makoto Suzuki, Takayuki Shimada, Fumio Kondo, Mariyo F. Watanabe, Makoto Suzuki and Hajime Kato and has published in prestigious journals such as Analytical Chemistry, Tetrahedron Letters and Rapid Communications in Mass Spectrometry.

In The Last Decade

Tsuyoshi Mayumi

17 papers receiving 654 citations

Author Peers

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

Author Last Decade Papers Cites
Tsuyoshi Mayumi 295 292 149 140 128 18 664
Catherine Roullier 264 0.9× 240 0.8× 119 0.8× 52 0.4× 77 0.6× 32 621
Wolfram Trowitzsch 433 1.5× 310 1.1× 128 0.9× 43 0.3× 41 0.3× 27 791
Yoshiko Itezono 208 0.7× 159 0.5× 82 0.6× 23 0.2× 207 1.6× 22 618
Richard J. P. Cannell 252 0.9× 122 0.4× 92 0.6× 18 0.1× 66 0.5× 22 660
Hye‐Dong Yoo 340 1.2× 152 0.5× 116 0.8× 28 0.2× 31 0.2× 25 708
Amanda M. Fenner 427 1.4× 332 1.1× 198 1.3× 71 0.5× 23 0.2× 10 727
Sylvia Soldatou 292 1.0× 289 1.0× 141 0.9× 15 0.1× 33 0.3× 19 595
PT Murphy 144 0.5× 191 0.7× 438 2.9× 26 0.2× 35 0.3× 26 723
Stephen J. Wratten 154 0.5× 132 0.5× 238 1.6× 24 0.2× 23 0.2× 21 663
C. F. Hirsch 290 1.0× 236 0.8× 107 0.7× 8 0.1× 101 0.8× 15 694

Countries citing papers authored by Tsuyoshi Mayumi

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Mayumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Mayumi

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