Megan Egbert

10 papers and 311 indexed citations i.

About

Megan Egbert is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Megan Egbert has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Megan Egbert’s work include Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (3 papers). Megan Egbert is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Protein Structure and Dynamics (6 papers) and Enzyme Structure and Function (3 papers). Megan Egbert collaborates with scholars based in United States, Russia and Germany. Megan Egbert's co-authors include Sándor Vajda, Adrian Whitty, Amanda Wakefield, György M. Keserű, Martin Sattler, M. Ruetze, Ralph Lucius, Horst Wenck, Sergei Kotelnikov and George Jones and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Co-authorship network of co-authors of Megan Egbert i

Fields of papers citing papers by Megan Egbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megan Egbert

Since Specialization
Citations

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