Merry Nishimura

34 papers and 5.9k indexed citations i.

About

Merry Nishimura is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Merry Nishimura has authored 34 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Merry Nishimura’s work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Nerve injury and regeneration (7 papers) and Advanced MRI Techniques and Applications (6 papers). Merry Nishimura is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (7 papers), Nerve injury and regeneration (7 papers) and Advanced MRI Techniques and Applications (6 papers). Merry Nishimura collaborates with scholars based in United States, Japan and Hong Kong. Merry Nishimura's co-authors include L H Pitts, Henry M. Bartkowski, Joshua B. Bederson, Richard L. Davis, Masahiko Tsuji, Isabelle M. Germano, Ronald L. Davis, Heidi Phillips, Karen Chen and Craig Crowley and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Merry Nishimura i

Fields of papers citing papers by Merry Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Merry Nishimura

Since Specialization
Citations

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