Chizuru Sasaki

72 total papers · 2.2k total citations
62 papers, 1.7k citations indexed

About

Chizuru Sasaki is a scholar working on Biomedical Engineering, Molecular Biology and Plant Science. According to data from OpenAlex, Chizuru Sasaki has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Biomedical Engineering, 30 papers in Molecular Biology and 13 papers in Plant Science. Recurrent topics in Chizuru Sasaki's work include Biofuel production and bioconversion (33 papers), Microbial Metabolic Engineering and Bioproduction (17 papers) and Catalysis for Biomass Conversion (10 papers). Chizuru Sasaki is often cited by papers focused on Biofuel production and bioconversion (33 papers), Microbial Metabolic Engineering and Bioproduction (17 papers) and Catalysis for Biomass Conversion (10 papers). Chizuru Sasaki collaborates with scholars based in Japan, Tanzania and Slovakia. Chizuru Sasaki's co-authors include Yoshitoshi Nakamura, Chikako Asada, Yuya Yamashita, Akihiro Kurosumi, Satoshi Tamura, Ko‐Ki Kunimoto, Hitoshi Takagi, Shiro Maeda, Yoshifumi Itoh and Tamo Fukamizo and has published in prestigious journals such as Bioresource Technology, Carbohydrate Polymers and International Journal of Biological Macromolecules.

In The Last Decade

Chizuru Sasaki

61 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Chizuru Sasaki 1.0k 566 550 363 274 62 1.7k
Regis Teixeira Mendonça 1.4k 1.4× 585 1.0× 390 0.7× 599 1.7× 133 0.5× 89 2.0k
Hedda K. Weber 651 0.6× 618 1.1× 348 0.6× 253 0.7× 209 0.8× 54 1.5k
Run-Cang Sun 1.5k 1.5× 618 1.1× 273 0.5× 322 0.9× 163 0.6× 57 2.0k
Cheu Peng Leh 937 0.9× 846 1.5× 224 0.4× 253 0.7× 236 0.9× 62 2.0k
Kun Wang 904 0.9× 558 1.0× 213 0.4× 257 0.7× 185 0.7× 59 1.6k
Chikako Asada 757 0.7× 306 0.5× 306 0.6× 195 0.5× 304 1.1× 64 1.2k
Fengxia Yue 1.7k 1.6× 595 1.1× 367 0.7× 518 1.4× 194 0.7× 72 2.3k
Valentín Santos 1.6k 1.5× 496 0.9× 355 0.6× 220 0.6× 113 0.4× 91 2.1k
Gabriel Paës 1.7k 1.6× 416 0.7× 857 1.6× 435 1.2× 174 0.6× 59 2.3k
Douyong Min 1.3k 1.3× 437 0.8× 392 0.7× 279 0.8× 155 0.6× 119 2.2k

Countries citing papers authored by Chizuru Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Chizuru Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chizuru Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Chizuru Sasaki. A scholar is included among the top collaborators of Chizuru Sasaki 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 Chizuru Sasaki. Chizuru Sasaki 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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2026