Charlene Supnet

19 papers and 977 indexed citations i.

About

Charlene Supnet is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Charlene Supnet has authored 19 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Charlene Supnet’s work include Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Charlene Supnet is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), Neuroscience and Neuropharmacology Research (9 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Charlene Supnet collaborates with scholars based in United States, Canada and Russia. Charlene Supnet's co-authors include Ilya Bezprozvanny, Omar L. Nelson, Michael Mayne, Jun Wu, David Westaway, Jeff Grant, Hong Kong, DaiWai M. Olson, Sonja E. Stutzman and Xi Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Journal of Alzheimer s Disease.

In The Last Decade

Co-authorship network of co-authors of Charlene Supnet i

Fields of papers citing papers by Charlene Supnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Charlene Supnet

Since Specialization
Citations

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