Kayoko Tao

11 papers and 114 indexed citations i.

About

Kayoko Tao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Kayoko Tao has authored 11 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Genetics. Recurrent topics in Kayoko Tao’s work include Cancer Genomics and Diagnostics (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and BRCA gene mutations in cancer (3 papers). Kayoko Tao is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and BRCA gene mutations in cancer (3 papers). Kayoko Tao collaborates with scholars based in Japan, United States and Canada. Kayoko Tao's co-authors include David E. Goldgar, Sean V. Tavtigian, Fabienne Lesueur, Maxime Vallée, Geoffroy Durand, Florence Le Calvez‐Kelm, Nathalie Forey, Esther M. John, Melissa C. Southey and Francesca Damiola and has published in prestigious journals such as The American Journal of Human Genetics, BMC Bioinformatics and Breast Cancer Research and Treatment.

In The Last Decade

Co-authorship network of co-authors of Kayoko Tao i

Fields of papers citing papers by Kayoko Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kayoko Tao

Since Specialization
Citations

This map shows the geographic impact of Kayoko Tao'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 Kayoko Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Tao 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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2026