Seiya Imoto

15 papers and 2.8k indexed citations i.

About

Seiya Imoto is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seiya Imoto has authored 15 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seiya Imoto’s work include Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (9 papers) and Gene Regulatory Network Analysis (3 papers). Seiya Imoto is often cited by papers focused on Gene expression and cancer classification (13 papers), Bioinformatics and Genomic Networks (9 papers) and Gene Regulatory Network Analysis (3 papers). Seiya Imoto collaborates with scholars based in Japan, United States and Australia. Seiya Imoto's co-authors include Satoru Miyano, Michiel de Hoon, John P. Nolan, Alok Sharma, Tomohiro Ando, Sadanori Konishi, Vandana Sharma, Kuldip K. Paliwal, Rui Yamaguchi and Ryo Yoshida and has published in prestigious journals such as Bioinformatics, Biometrika and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Seiya Imoto i

Fields of papers citing papers by Seiya Imoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Seiya Imoto

Since Specialization
Citations

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