Noriko Yoshikawa

84 total papers · 1.6k total citations
57 papers, 1.3k citations indexed

About

Noriko Yoshikawa is a scholar working on Molecular Biology, Pharmacology and Physiology. According to data from OpenAlex, Noriko Yoshikawa has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Pharmacology and 9 papers in Physiology. Recurrent topics in Noriko Yoshikawa's work include Fungal Biology and Applications (11 papers), Phytochemical compounds biological activities (8 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Noriko Yoshikawa is often cited by papers focused on Fungal Biology and Applications (11 papers), Phytochemical compounds biological activities (8 papers) and Genomics, phytochemicals, and oxidative stress (5 papers). Noriko Yoshikawa collaborates with scholars based in Japan, United States and Canada. Noriko Yoshikawa's co-authors include Kazuki Nakamura, Kazumasa Shinozuka, Masaru Kunitomo, Satomi Kagota, Yu Yamaguchi, Edward R. Burns, Jun Haginaka, Yu Yamaguchi, Kotaro Yamada and Masaharu Yoshida and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.

In The Last Decade

Noriko Yoshikawa

55 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Noriko Yoshikawa 599 416 168 128 126 57 1.3k
D. Aures 642 1.1× 447 1.1× 187 1.1× 151 1.2× 132 1.0× 51 1.8k
Jin-Woo Jeong 619 1.0× 268 0.6× 97 0.6× 123 1.0× 148 1.2× 65 1.4k
Lihua Tan 560 0.9× 334 0.8× 114 0.7× 237 1.9× 119 0.9× 32 1.3k
Zhen‐Lun Gu 796 1.3× 238 0.6× 210 1.3× 140 1.1× 106 0.8× 80 1.7k
Mun-Ock Kim 951 1.6× 246 0.6× 187 1.1× 118 0.9× 172 1.4× 59 1.7k
Young Jin Kang 680 1.1× 209 0.5× 159 0.9× 156 1.2× 225 1.8× 73 1.4k
Guoying Zhang 532 0.9× 351 0.8× 86 0.5× 73 0.6× 182 1.4× 74 1.6k
Tingting Chen 427 0.7× 163 0.4× 112 0.7× 110 0.9× 121 1.0× 61 1.2k
Ki Mo Kim 746 1.2× 194 0.5× 144 0.9× 108 0.8× 145 1.2× 50 1.5k
Jer-Yuh Liu 929 1.6× 219 0.5× 119 0.7× 133 1.0× 106 0.8× 57 1.7k

Countries citing papers authored by Noriko Yoshikawa

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Yoshikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Yoshikawa

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