María Megalogeni

6 papers and 169 indexed citations i.

About

María Megalogeni is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, María Megalogeni has authored 6 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in María Megalogeni’s work include Dementia and Cognitive Impairment Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Health, Environment, Cognitive Aging (1 paper). María Megalogeni is often cited by papers focused on Dementia and Cognitive Impairment Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Health, Environment, Cognitive Aging (1 paper). María Megalogeni collaborates with scholars based in United Kingdom, Canada and Norway. María Megalogeni's co-authors include Anne Corbett, Adam Hampshire, Zunera Khan, Helen Brooker, Clive Ballard, Dag Aarsland, Keith Wesnes, Zahinoor Ismail, Byron Creese and Matthew C. Walker and has published in prestigious journals such as Nature Communications, Neuroscience Letters and Alzheimer s & Dementia.

In The Last Decade

Co-authorship network of co-authors of María Megalogeni i

Fields of papers citing papers by María Megalogeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Megalogeni

Since Specialization
Citations

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