Naoto Urano

82 total papers · 1.4k total citations
73 papers, 1.1k citations indexed

About

Naoto Urano is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, Naoto Urano has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Biomedical Engineering and 17 papers in Biotechnology. Recurrent topics in Naoto Urano's work include Fungal and yeast genetics research (20 papers), Biofuel production and bioconversion (17 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Naoto Urano is often cited by papers focused on Fungal and yeast genetics research (20 papers), Biofuel production and bioconversion (17 papers) and Microbial Metabolic Engineering and Bioproduction (12 papers). Naoto Urano collaborates with scholars based in Japan, Germany and Bangladesh. Naoto Urano's co-authors include Shigeru Kimura, Ryohei Ueno, Naomichi Kunisaki, Masataka Saito, Masami Ishida, Motofumi Suzuki, Isao Karube, Hideki Ushio, Masahiko Okai and Katsuhiko Fujii and has published in prestigious journals such as FEBS Letters, Applied Microbiology and Biotechnology and Biotechnology and Bioengineering.

In The Last Decade

Naoto Urano

71 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Naoto Urano 492 238 216 146 144 73 1.1k
Daniela Coppola 507 1.0× 142 0.6× 85 0.4× 181 1.2× 263 1.8× 46 1.3k
Carmen Rizzo 378 0.8× 109 0.5× 341 1.6× 171 1.2× 125 0.9× 75 1.4k
Gopal Dharani 254 0.5× 87 0.4× 503 2.3× 93 0.6× 241 1.7× 79 1.2k
Joong Kyun Kim 385 0.8× 201 0.8× 305 1.4× 185 1.3× 24 0.2× 82 1.4k
Fortunato Palma Esposito 375 0.8× 77 0.3× 131 0.6× 118 0.8× 104 0.7× 35 947
Huiqin Huang 366 0.7× 128 0.5× 102 0.5× 65 0.4× 85 0.6× 87 1.2k
Saloua Sadok 456 0.9× 149 0.6× 47 0.2× 366 2.5× 152 1.1× 80 1.2k
Kumari Kavita 605 1.2× 85 0.4× 135 0.6× 80 0.5× 41 0.3× 24 1.2k
Yasuhiro Tanaka 390 0.8× 113 0.5× 326 1.5× 40 0.3× 49 0.3× 59 1.4k
Denis Groleau 862 1.8× 386 1.6× 198 0.9× 47 0.3× 183 1.3× 52 1.5k

Countries citing papers authored by Naoto Urano

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Urano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Urano

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