Taiki Kusaka

16 total papers · 407 total citations
11 papers, 312 citations indexed

About

Taiki Kusaka is a scholar working on Pharmacology, Molecular Biology and Plant Science. According to data from OpenAlex, Taiki Kusaka has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Molecular Biology and 3 papers in Plant Science. Recurrent topics in Taiki Kusaka's work include Microbial Natural Products and Biosynthesis (5 papers), Fungal Plant Pathogen Control (2 papers) and Insect and Pesticide Research (2 papers). Taiki Kusaka is often cited by papers focused on Microbial Natural Products and Biosynthesis (5 papers), Fungal Plant Pathogen Control (2 papers) and Insect and Pesticide Research (2 papers). Taiki Kusaka collaborates with scholars based in Japan. Taiki Kusaka's co-authors include Toyokazu Kishi, Kōmei Mizuno, Masayuki Muroi, Motoo Shibata, Hiroichi Yamamoto, Takashi Iwasa, Masao Nishikawa, Michihiko Sakai, Ryuji Marumoto and Osamu Miyashita and has published in prestigious journals such as The Journal of Antibiotics, Chemical and Pharmaceutical Bulletin and Journal of Pesticide Science.

In The Last Decade

Taiki Kusaka

11 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Taiki Kusaka 194 173 74 46 40 11 312
Michael V. Pickering 186 1.0× 122 0.7× 72 1.0× 23 0.5× 49 1.2× 16 360
Aaron DeBono 174 0.9× 108 0.6× 59 0.8× 49 1.1× 32 0.8× 14 347
William Rosenbrook 173 0.9× 157 0.9× 85 1.1× 64 1.4× 44 1.1× 22 345
Bashir Kaskar 139 0.7× 213 1.2× 65 0.9× 22 0.5× 41 1.0× 10 355
Gerald E. Gutowski 176 0.9× 152 0.9× 74 1.0× 25 0.5× 52 1.3× 14 314
Robert F. Keyes 147 0.8× 146 0.8× 32 0.4× 36 0.8× 30 0.8× 21 303
S. Nenci 203 1.0× 73 0.4× 94 1.3× 10 0.2× 39 1.0× 8 363
J. W. T. Selway 79 0.4× 169 1.0× 50 0.7× 46 1.0× 114 2.9× 17 366
Richard P. Hodge 219 1.1× 65 0.4× 27 0.4× 52 1.1× 16 0.4× 15 354
Jerry D. Bryant 130 0.7× 244 1.4× 42 0.6× 12 0.3× 29 0.7× 7 323

Countries citing papers authored by Taiki Kusaka

Since Specialization
Citations

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

Fields of papers citing papers by Taiki Kusaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiki Kusaka

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