Mária Vas

66 papers and 1.2k indexed citations i.

About

Mária Vas is a scholar working on Molecular Biology, Materials Chemistry and Biochemistry. According to data from OpenAlex, Mária Vas has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 38 papers in Materials Chemistry and 12 papers in Biochemistry. Recurrent topics in Mária Vas’s work include Enzyme Structure and Function (38 papers), Protein Structure and Dynamics (23 papers) and Biochemical and Molecular Research (17 papers). Mária Vas is often cited by papers focused on Enzyme Structure and Function (38 papers), Protein Structure and Dynamics (23 papers) and Biochemical and Molecular Research (17 papers). Mária Vas collaborates with scholars based in Hungary, Italy and Russia. Mária Vas's co-authors include Andrea Varga, Karl Harlos, Beáta Flachner, Péter Závodszky, J. Szabó, József Batke, Angelo Merli, Michael A. Sinev, Imre Cserpán and Elspeth F. Garman and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Mária Vas i

Fields of papers citing papers by Mária Vas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mária Vas

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025