Masaki Tomishima

22 total papers · 857 total citations
18 papers, 632 citations indexed

About

Masaki Tomishima is a scholar working on Infectious Diseases, Pharmacology and Molecular Biology. According to data from OpenAlex, Masaki Tomishima has authored 18 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Pharmacology and 5 papers in Molecular Biology. Recurrent topics in Masaki Tomishima's work include Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Masaki Tomishima is often cited by papers focused on Antifungal resistance and susceptibility (6 papers), Fungal Infections and Studies (5 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). Masaki Tomishima collaborates with scholars based in Japan and United States. Masaki Tomishima's co-authors include Katsuyuki Maki, Akira Yamada, Fumiaki Ikeda, Hidenori Ohki, Tetsuji Kawamoto, Fumio Yoneda, Shuichi Tawara, Fumio Matsumoto, Shōgo Kuwahara and Toshio Goto and has published in prestigious journals such as Journal of the American Chemical Society, Antimicrobial Agents and Chemotherapy and The Journal of Organic Chemistry.

In The Last Decade

Masaki Tomishima

18 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Masaki Tomishima 291 242 182 161 147 18 632
Raulo Parmegiani 285 1.0× 189 0.8× 210 1.2× 97 0.6× 102 0.7× 33 616
Thomas M. Anderson 236 0.8× 238 1.0× 155 0.9× 95 0.6× 236 1.6× 11 711
C. P. Schaffner 145 0.5× 144 0.6× 59 0.3× 204 1.3× 261 1.8× 44 749
Kenneth Richardson 344 1.2× 238 1.0× 245 1.3× 56 0.3× 126 0.9× 15 717
Matthew M. Endo 286 1.0× 173 0.7× 165 0.9× 130 0.8× 267 1.8× 9 677
K Roholt 130 0.4× 103 0.4× 115 0.6× 273 1.7× 167 1.1× 22 714
Masayuki Matsukura 284 1.0× 355 1.5× 223 1.2× 82 0.5× 189 1.3× 10 746
Rajni K. Wilson 234 0.8× 209 0.9× 125 0.7× 94 0.6× 152 1.0× 15 588
KOZO TOMATSU 94 0.3× 246 1.0× 86 0.5× 203 1.3× 241 1.6× 17 564
C Asselineau 270 0.9× 170 0.7× 412 2.3× 66 0.4× 260 1.8× 32 678

Countries citing papers authored by Masaki Tomishima

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Tomishima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Tomishima

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