Madoka Akimoto

32 papers and 547 indexed citations i.

About

Madoka Akimoto is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Madoka Akimoto has authored 32 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Madoka Akimoto’s work include Receptor Mechanisms and Signaling (13 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Phosphodiesterase function and regulation (8 papers). Madoka Akimoto is often cited by papers focused on Receptor Mechanisms and Signaling (13 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Phosphodiesterase function and regulation (8 papers). Madoka Akimoto collaborates with scholars based in Canada, United States and Germany. Madoka Akimoto's co-authors include Giuseppe Melacini, Rajeevan Selvaratnam, Bryan VanSchouwen, Stephen Boulton, Susan S. Taylor, Geeta Verma, Oliver F. Lange, Eric A. Accili, Jinfeng Huang and Zaiyong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Madoka Akimoto i

Fields of papers citing papers by Madoka Akimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Madoka Akimoto

Since Specialization
Citations

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