Masako Kiyono

96 total papers · 1.8k total citations
75 papers, 1.3k citations indexed

About

Masako Kiyono is a scholar working on Health, Toxicology and Mutagenesis, Plant Science and Molecular Biology. According to data from OpenAlex, Masako Kiyono has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Health, Toxicology and Mutagenesis, 20 papers in Plant Science and 16 papers in Molecular Biology. Recurrent topics in Masako Kiyono's work include Mercury impact and mitigation studies (38 papers), Plant Stress Responses and Tolerance (15 papers) and Heavy Metal Exposure and Toxicity (12 papers). Masako Kiyono is often cited by papers focused on Mercury impact and mitigation studies (38 papers), Plant Stress Responses and Tolerance (15 papers) and Heavy Metal Exposure and Toxicity (12 papers). Masako Kiyono collaborates with scholars based in Japan, Germany and China. Masako Kiyono's co-authors include Hidemitsu Pan‐Hou, Shimpei Uraguchi, Ryosuke Nakamura, Yuka Sone, Yasukazu Takanezawa, Tomoko Omura, Izumi Watanabe, Katsuji Kuno, Hiroyuki Fujimori and Kou Sakabe and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Masako Kiyono

72 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Masako Kiyono 615 359 313 260 157 75 1.3k
Hidemitsu Pan‐Hou 645 1.0× 145 0.4× 226 0.7× 315 1.2× 95 0.6× 68 1.2k
Anju Rani 448 0.7× 423 1.2× 233 0.7× 160 0.6× 97 0.6× 63 1.3k
Peter Christensen 257 0.4× 242 0.7× 220 0.7× 220 0.8× 233 1.5× 72 1.5k
Xuedong Wang 384 0.6× 409 1.1× 651 2.1× 149 0.6× 139 0.9× 77 1.5k
Hui Zhang 443 0.7× 187 0.5× 429 1.4× 248 1.0× 145 0.9× 56 1.6k
Xujun Liang 514 0.8× 135 0.4× 654 2.1× 158 0.6× 142 0.9× 64 1.5k
Krishna Gopal 685 1.1× 202 0.6× 446 1.4× 74 0.3× 100 0.6× 63 1.7k
Vladimir Beškoski 248 0.4× 238 0.7× 475 1.5× 188 0.7× 81 0.5× 80 1.3k
Nimai Chandra Saha 717 1.2× 198 0.6× 413 1.3× 169 0.7× 152 1.0× 140 1.6k
Yong-He Han 348 0.6× 432 1.2× 460 1.5× 135 0.5× 78 0.5× 51 1.4k

Countries citing papers authored by Masako Kiyono

Since Specialization
Citations

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

Fields of papers citing papers by Masako Kiyono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masako Kiyono

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