Maxim Totrov

112 papers and 8.5k indexed citations i.

About

Maxim Totrov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Maxim Totrov has authored 112 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 43 papers in Computational Theory and Mathematics and 27 papers in Materials Chemistry. Recurrent topics in Maxim Totrov’s work include Computational Drug Discovery Methods (42 papers), Protein Structure and Dynamics (35 papers) and HIV Research and Treatment (18 papers). Maxim Totrov is often cited by papers focused on Computational Drug Discovery Methods (42 papers), Protein Structure and Dynamics (35 papers) and HIV Research and Treatment (18 papers). Maxim Totrov collaborates with scholars based in United States, United Kingdom and Switzerland. Maxim Totrov's co-authors include Ruben Abagyan, Dmitry Kuznetsov, Juan Fernández‐Recio, Matthieu Schapira, Jianghong An, Olga Lomovskaya, Timothy Cardozo, Marco A. C. Neves, Charles L. Brooks and Irina Kufareva and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.

In The Last Decade

Co-authorship network of co-authors of Maxim Totrov i

Fields of papers citing papers by Maxim Totrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Totrov

Since Specialization
Citations

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