Gen-ichiro Nonaka

17 total papers · 913 total citations
17 papers, 722 citations indexed

About

Gen-ichiro Nonaka is a scholar working on Molecular Biology, Pharmacology and Biochemistry. According to data from OpenAlex, Gen-ichiro Nonaka has authored 17 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Biochemistry. Recurrent topics in Gen-ichiro Nonaka's work include Plant biochemistry and biosynthesis (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Natural product bioactivities and synthesis (3 papers). Gen-ichiro Nonaka is often cited by papers focused on Plant biochemistry and biosynthesis (4 papers), Phytochemicals and Antioxidant Activities (4 papers) and Natural product bioactivities and synthesis (3 papers). Gen-ichiro Nonaka collaborates with scholars based in Japan, United States and Philippines. Gen-ichiro Nonaka's co-authors include Itsuo Nishioka, Satoshi Morimoto, Yoshiki Kashiwada, Kuo-Hsiung Lee, Jerjang Chang, Rong‐Fu Chen, Anne J. Bodner, Robert E. Kilkuskie, Takashi Yamagishi and Kuo-Hsiung Lee and has published in prestigious journals such as The Journal of Organic Chemistry, Phytochemistry and Journal of Natural Products.

In The Last Decade

Gen-ichiro Nonaka

17 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Gen-ichiro Nonaka 314 195 185 119 107 17 722
Yeong Hun Song 379 1.2× 293 1.5× 134 0.7× 105 0.9× 90 0.8× 36 866
Lingguang Yang 280 0.9× 186 1.0× 221 1.2× 67 0.6× 52 0.5× 27 662
Antonella Calderaro 325 1.0× 204 1.0× 270 1.5× 60 0.5× 68 0.6× 18 869
Takuo Okuda 401 1.3× 222 1.1× 243 1.3× 139 1.2× 146 1.4× 37 861
Sara M. Tomé 232 0.7× 162 0.8× 266 1.4× 143 1.2× 87 0.8× 11 823
H.P. Kim 415 1.3× 183 0.9× 215 1.2× 86 0.7× 105 1.0× 9 842
Rong‐Dih Lin 285 0.9× 229 1.2× 248 1.3× 63 0.5× 88 0.8× 16 868
Germana V. Galli 240 0.8× 141 0.7× 164 0.9× 183 1.5× 121 1.1× 15 801
Jasmeen Sidana 303 1.0× 333 1.7× 145 0.8× 132 1.1× 65 0.6× 15 816
Leonardo Noboru Seito 338 1.1× 220 1.1× 121 0.7× 168 1.4× 109 1.0× 23 897

Countries citing papers authored by Gen-ichiro Nonaka

Since Specialization
Citations

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

Fields of papers citing papers by Gen-ichiro Nonaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen-ichiro Nonaka. 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 Gen-ichiro Nonaka. The network helps show where Gen-ichiro Nonaka may publish in the future.

Co-authorship network of co-authors of Gen-ichiro Nonaka

This figure shows the co-authorship network connecting the top 25 collaborators of Gen-ichiro Nonaka. A scholar is included among the top collaborators of Gen-ichiro Nonaka 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 Gen-ichiro Nonaka. Gen-ichiro Nonaka 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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