Mario Suwalsky

137 papers and 2.5k indexed citations i.

About

Mario Suwalsky is a scholar working on Molecular Biology, Physiology and Plant Science. According to data from OpenAlex, Mario Suwalsky has authored 137 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Molecular Biology, 55 papers in Physiology and 15 papers in Plant Science. Recurrent topics in Mario Suwalsky’s work include Lipid Membrane Structure and Behavior (72 papers), Erythrocyte Function and Pathophysiology (48 papers) and Protein Interaction Studies and Fluorescence Analysis (18 papers). Mario Suwalsky is often cited by papers focused on Lipid Membrane Structure and Behavior (72 papers), Erythrocyte Function and Pathophysiology (48 papers) and Protein Interaction Studies and Fluorescence Analysis (18 papers). Mario Suwalsky collaborates with scholars based in Chile, Poland and Colombia. Mario Suwalsky's co-authors include Carlos P. Sotomayor, Fernando Villena, Marcela Manrique-Moreno, F. Villena, Paolo Zatta, Patrick Garidel, Fernando Pardo‐Manuel de Villena, Kazimierz Strzałka, Marcia Avello and W. Traub and has published in prestigious journals such as Journal of Molecular Biology, Coordination Chemistry Reviews and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Mario Suwalsky i

Fields of papers citing papers by Mario Suwalsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Suwalsky

Since Specialization
Citations

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