Akiko Ukai

21 papers and 339 indexed citations i.

About

Akiko Ukai is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Akiko Ukai has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in Akiko Ukai’s work include Carcinogens and Genotoxicity Assessment (10 papers), CRISPR and Genetic Engineering (9 papers) and DNA Repair Mechanisms (7 papers). Akiko Ukai is often cited by papers focused on Carcinogens and Genotoxicity Assessment (10 papers), CRISPR and Genetic Engineering (9 papers) and DNA Repair Mechanisms (7 papers). Akiko Ukai collaborates with scholars based in Japan, United States and Sri Lanka. Akiko Ukai's co-authors include Masamitsu Honma, Katsuyoshi Horibata, Takehiko Nohmi, Akira Yasui, Brett A. Neilan, Masafumi Saijo, Xue Zhang, Chie Ishigami, Shin‐ichiro Kanno and Hidetoshi Tahara and has published in prestigious journals such as Nature Genetics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Akiko Ukai i

Fields of papers citing papers by Akiko Ukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Ukai

Since Specialization
Citations

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

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2025