Yuki Sakuratani

21 papers and 338 indexed citations i.

About

Yuki Sakuratani is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis and Plant Science. According to data from OpenAlex, Yuki Sakuratani has authored 21 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 7 papers in Health, Toxicology and Mutagenesis and 6 papers in Plant Science. Recurrent topics in Yuki Sakuratani’s work include Computational Drug Discovery Methods (10 papers), Pesticide Exposure and Toxicity (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Yuki Sakuratani is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Pesticide Exposure and Toxicity (6 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Yuki Sakuratani collaborates with scholars based in Japan, Bulgaria and Thailand. Yuki Sakuratani's co-authors include Eeva Leinala, Makoto Hayashi, Ovanes Mekenyan, Jun Yamada, Nathalie Delrue, Magdalini Sachana, Anne Gourmelon, Satoshi Nishikawa, J. Yamada and Takashi Yamada and has published in prestigious journals such as Environmental Health Perspectives, Toxicology Letters and Regulatory Toxicology and Pharmacology.

In The Last Decade

Co-authorship network of co-authors of Yuki Sakuratani i

Fields of papers citing papers by Yuki Sakuratani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuki Sakuratani

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025