Mariko Yagi

79 total papers · 1.9k total citations
66 papers, 1.4k citations indexed

About

Mariko Yagi is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Mariko Yagi has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Genetics. Recurrent topics in Mariko Yagi's work include Muscle Physiology and Disorders (38 papers), RNA Research and Splicing (26 papers) and RNA Interference and Gene Delivery (9 papers). Mariko Yagi is often cited by papers focused on Muscle Physiology and Disorders (38 papers), RNA Research and Splicing (26 papers) and RNA Interference and Gene Delivery (9 papers). Mariko Yagi collaborates with scholars based in Japan, United States and Malaysia. Mariko Yagi's co-authors include Masafumi Matsuo, Yasuhiro Takeshima, Hiroyuki Awano, Hiroko Wada, Zhujun Zhang, Yo Okizuka, Atsushi Nishiyama, Yumiko Yamauchi, Tomoko Lee and Hisahide Nishio and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Mariko Yagi

64 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Mariko Yagi 1.1k 226 224 190 127 66 1.4k
P. Gallano 1.0k 0.9× 285 1.3× 261 1.2× 259 1.4× 158 1.2× 65 1.4k
Duangrurdee Wattanasirichaigoon 746 0.7× 164 0.7× 501 2.2× 129 0.7× 82 0.6× 87 1.3k
Jingxin Qiu 873 0.8× 171 0.8× 71 0.3× 259 1.4× 96 0.8× 76 1.8k
Nancy D. Leslie 923 0.8× 260 1.2× 152 0.7× 169 0.9× 201 1.6× 37 1.7k
Lora Jh Bean 861 0.8× 605 2.7× 175 0.8× 93 0.5× 214 1.7× 58 1.6k
Kiyomi Yamada 973 0.9× 436 1.9× 433 1.9× 158 0.8× 98 0.8× 63 1.8k
Gerald Pfeffer 1.2k 1.1× 157 0.7× 156 0.7× 189 1.0× 54 0.4× 74 1.8k
Carol Saunders 740 0.7× 631 2.8× 119 0.5× 103 0.5× 109 0.9× 59 1.3k
Emma Clement 966 0.9× 292 1.3× 244 1.1× 217 1.1× 53 0.4× 36 1.3k
Cindy Wang 463 0.4× 95 0.4× 146 0.7× 165 0.9× 133 1.0× 49 1.2k

Countries citing papers authored by Mariko Yagi

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Yagi

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