Maxim Suvorov

11 papers and 425 indexed citations i.

About

Maxim Suvorov is a scholar working on Molecular Medicine, Molecular Biology and Biotechnology. According to data from OpenAlex, Maxim Suvorov has authored 11 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Medicine, 3 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in Maxim Suvorov’s work include Antibiotic Resistance in Bacteria (5 papers), Enzyme Production and Characterization (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Maxim Suvorov is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Enzyme Production and Characterization (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Maxim Suvorov collaborates with scholars based in United States and Russia. Maxim Suvorov's co-authors include Shahriar Mobashery, Sergei B. Vakulenko, Dušan Hesek, Mijoon Lee, Steven W. Hutcheson, Haitao Zhang, Bill Boggess, Wenlin Lee, Stephen H.M. Brown and Ken‐ichiro Morio and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Maxim Suvorov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maxim Suvorov

Since Specialization
Citations

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