Masha Karelina

About

Masha Karelina is a scholar working on Molecular Biology, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Masha Karelina has authored 6 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Masha Karelina’s work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (2 papers) and Protein Structure and Dynamics (2 papers). Masha Karelina is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (2 papers) and Protein Structure and Dynamics (2 papers). Masha Karelina collaborates with scholars based in United States and Austria. Masha Karelina's co-authors include Ron O. Dror, Heather J. Kulik, Raphael J.L. Townshend, Ramya Rangan, Rhiju Das, Stephan Eismann, Andrew Watkins, Joseph J. Noh, Alex S. Evers and Jeremy F. Reiter and has published in prestigious journals such as Science, Biophysical Journal and Nature Structural & Molecular Biology.

In The Last Decade

Co-authorship network of co-authors of Masha Karelina i

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Fields of papers citing papers by Masha Karelina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masha Karelina

Since Specialization

Citations

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