Naoki Takaya

226 total papers · 5.2k total citations
156 papers, 4.2k citations indexed

About

Naoki Takaya is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Naoki Takaya has authored 156 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Molecular Biology, 23 papers in Pharmacology and 22 papers in Plant Science. Recurrent topics in Naoki Takaya's work include Microbial Metabolic Engineering and Bioproduction (29 papers), Fungal and yeast genetics research (28 papers) and Microbial Community Ecology and Physiology (20 papers). Naoki Takaya is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (29 papers), Fungal and yeast genetics research (28 papers) and Microbial Community Ecology and Physiology (20 papers). Naoki Takaya collaborates with scholars based in Japan, China and United States. Naoki Takaya's co-authors include Hirofumi Shoun, Motoyuki Shimizu, Shunsuke Masuo, Zhemin Zhou, Akira Nakamura, Hiroyuki Horiuchi, Akinori Ohta, Takayuki Hoshino, Tatsuya Fujii and Masamichi Takagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Naoki Takaya

150 papers receiving 4.1k citations

Author Peers

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

Author Last Decade Papers Cites
Naoki Takaya 2.1k 871 707 651 455 156 4.2k
Zhong Hu 1.9k 0.9× 975 1.1× 883 1.2× 1.1k 1.7× 576 1.3× 204 5.1k
Κει Arima 3.1k 1.5× 810 0.9× 333 0.5× 712 1.1× 404 0.9× 306 5.4k
B. Poolman 3.1k 1.5× 1.2k 1.3× 426 0.6× 1.0k 1.6× 513 1.1× 62 6.6k
Tomáš Řezanka 2.6k 1.2× 874 1.0× 638 0.9× 637 1.0× 648 1.4× 313 6.8k
Hosni M. Hassan 3.3k 1.5× 868 1.0× 402 0.6× 719 1.1× 197 0.4× 127 6.6k
Masataka Tsuda 3.0k 1.4× 827 0.9× 1.2k 1.7× 1.6k 2.5× 360 0.8× 182 6.2k
Carla C. C. R. de Carvalho 2.1k 1.0× 493 0.6× 547 0.8× 962 1.5× 572 1.3× 94 4.7k
Chris van der Drift 2.8k 1.3× 830 1.0× 540 0.8× 570 0.9× 775 1.7× 146 5.1k
Surajit Das 1.8k 0.8× 663 0.8× 1.0k 1.5× 1.8k 2.7× 831 1.8× 214 7.3k
Karel Sigler 2.4k 1.1× 716 0.8× 241 0.3× 353 0.5× 572 1.3× 233 4.7k

Countries citing papers authored by Naoki Takaya

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Takaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Takaya

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Takaya. A scholar is included among the top collaborators of Naoki Takaya 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 Naoki Takaya. Naoki Takaya 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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2026