Megumi Aita

22 papers and 1.2k indexed citations i.

About

Megumi Aita is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Megumi Aita has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Megumi Aita’s work include Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (6 papers). Megumi Aita is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Pain Mechanisms and Treatments (6 papers) and Nerve injury and regeneration (6 papers). Megumi Aita collaborates with scholars based in Japan, United States and United Kingdom. Megumi Aita's co-authors include Charles Chavkin, Mei Xu, Benjamin B. Land, Michael R. Bruchas, Alice M. Stamatakis, Garret D. Stuber, Pranish A. Kantak, Shuang Li, Sabiha K. Barot and Joshua H. Jennings and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Megumi Aita i

Fields of papers citing papers by Megumi Aita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megumi Aita

Since Specialization
Citations

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