Masashi Yabuki

48 total papers · 720 total citations
36 papers, 573 citations indexed

About

Masashi Yabuki is a scholar working on Oncology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Masashi Yabuki has authored 36 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 15 papers in Pharmacology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Masashi Yabuki's work include Drug Transport and Resistance Mechanisms (16 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Computational Drug Discovery Methods (6 papers). Masashi Yabuki is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Computational Drug Discovery Methods (6 papers). Masashi Yabuki collaborates with scholars based in Japan, France and United States. Masashi Yabuki's co-authors include Setsuko Komuro, Takanori Hashizume, Kimihiko Sato, Toru Usui, Masashi Mise, Atsushi Kitamura, Tetsuya Nakagawa, Yasuyuki Mizuki, Iwao Nakatsuka and H Kanamaru and has published in prestigious journals such as Chemosphere, Toxicology and Applied Pharmacology and Analytical and Bioanalytical Chemistry.

In The Last Decade

Masashi Yabuki

36 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Masashi Yabuki 250 232 153 73 62 36 573
Setsuko Komuro 226 0.9× 194 0.8× 132 0.9× 62 0.8× 43 0.7× 34 510
Nancy Hakooz 316 1.3× 198 0.9× 147 1.0× 82 1.1× 45 0.7× 44 590
Mark Niosi 205 0.8× 236 1.0× 169 1.1× 96 1.3× 55 0.9× 22 536
Daniel R. Mudra 270 1.1× 200 0.9× 215 1.4× 49 0.7× 37 0.6× 18 646
Yuan Chen 299 1.2× 158 0.7× 140 0.9× 79 1.1× 50 0.8× 23 594
Yasushi Yoshigae 165 0.7× 163 0.7× 142 0.9× 80 1.1× 40 0.6× 27 564
Tsutomu Yoshimura 171 0.7× 183 0.8× 204 1.3× 88 1.2× 24 0.4× 28 592
Hiromitsu Nakasa 333 1.3× 210 0.9× 137 0.9× 111 1.5× 27 0.4× 30 596
H Kinoshita 219 0.9× 254 1.1× 123 0.8× 59 0.8× 22 0.4× 51 590
Lisa A. Shipley 236 0.9× 139 0.6× 194 1.3× 58 0.8× 37 0.6× 22 576

Countries citing papers authored by Masashi Yabuki

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Yabuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Yabuki

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