Mizuki Azuma

41 total papers · 721 total citations
17 papers, 576 citations indexed

About

Mizuki Azuma is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Mizuki Azuma has authored 17 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Cancer Research. Recurrent topics in Mizuki Azuma's work include Microtubule and mitosis dynamics (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Ubiquitin and proteasome pathways (3 papers). Mizuki Azuma is often cited by papers focused on Microtubule and mitosis dynamics (5 papers), Zebrafish Biomedical Research Applications (5 papers) and Ubiquitin and proteasome pathways (3 papers). Mizuki Azuma collaborates with scholars based in United States, Taiwan and China. Mizuki Azuma's co-authors include Dennis D. Hickstein, Lisa J. Embree, Hatem E. Sabaawy, Huai‐Jen Tsai, Matthew F. Starost, Igor B. Dawid, Reiko Toyama, Raman Sood, Heather R. Shive and Robert R. West and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Mizuki Azuma

17 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
Mizuki Azuma 381 183 81 69 68 17 576
Viola Hélène Lobert 338 0.9× 252 1.4× 97 1.2× 77 1.1× 57 0.8× 19 625
Josephine Addai 237 0.6× 191 1.0× 125 1.5× 69 1.0× 40 0.6× 12 524
J. Watson 302 0.8× 73 0.4× 91 1.1× 52 0.8× 80 1.2× 20 567
Hanjun Kim 431 1.1× 346 1.9× 63 0.8× 31 0.4× 41 0.6× 16 679
María Jesús García-León 255 0.7× 115 0.6× 101 1.2× 37 0.5× 143 2.1× 16 558
Nina Korzeniewski 424 1.1× 198 1.1× 159 2.0× 117 1.7× 39 0.6× 23 676
Yasushi Takahama 404 1.1× 73 0.4× 72 0.9× 37 0.5× 62 0.9× 13 584
Arnaud Gandillet 418 1.1× 133 0.7× 50 0.6× 28 0.4× 73 1.1× 12 642
Fiona McLaughlin 440 1.2× 96 0.5× 46 0.6× 33 0.5× 122 1.8× 19 653
Ken‐ichi Minehata 423 1.1× 87 0.5× 83 1.0× 65 0.9× 110 1.6× 15 643

Countries citing papers authored by Mizuki Azuma

Since Specialization
Citations

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

Fields of papers citing papers by Mizuki Azuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mizuki Azuma

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