Akiko Doi

20 papers and 2.2k indexed citations i.

About

Akiko Doi is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akiko Doi has authored 20 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Electrical and Electronic Engineering and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akiko Doi’s work include Epigenetics and DNA Methylation (4 papers), Pluripotent Stem Cells Research (3 papers) and Plasma Applications and Diagnostics (2 papers). Akiko Doi is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Pluripotent Stem Cells Research (3 papers) and Plasma Applications and Diagnostics (2 papers). Akiko Doi collaborates with scholars based in Japan, United States and South Korea. Akiko Doi's co-authors include Andrew P. Feinberg, George Q. Daley, Martin J. Aryee, Peter Murakami, Rafael A. Irizarry, Bo Wen, Brian R. Herb, Justine D. Miller, Sabine Loewer and In-Hyun Park and has published in prestigious journals such as Nature, Nature Genetics and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Akiko Doi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Doi

Since Specialization
Citations

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