Mario R. Ermácora

72 total papers · 1.1k total citations
61 papers, 874 citations indexed

About

Mario R. Ermácora is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Mario R. Ermácora has authored 61 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 15 papers in Genetics and 12 papers in Materials Chemistry. Recurrent topics in Mario R. Ermácora's work include Protein Structure and Dynamics (19 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (12 papers). Mario R. Ermácora is often cited by papers focused on Protein Structure and Dynamics (19 papers), RNA and protein synthesis mechanisms (12 papers) and Enzyme Structure and Function (12 papers). Mario R. Ermácora collaborates with scholars based in Argentina, United States and Germany. Mario R. Ermácora's co-authors include Robert O. Fox, José M. Delfino, Alanna Schepartz, Bernard Cuenoud, Raúl G. Ferreyra, Edgardo Poskus, Javier Santos, Valeria A. Risso, Eugenia M. Clérico and Marcelo Ceolı́n and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Mario R. Ermácora

60 papers receiving 858 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mario R. Ermácora 644 180 145 86 79 61 874
Andrzej M. Krezel 690 1.1× 142 0.8× 71 0.5× 79 0.9× 104 1.3× 34 1.1k
Wendy Parris 567 0.9× 140 0.8× 156 1.1× 69 0.8× 73 0.9× 22 750
Irina I. Protasevich 698 1.1× 116 0.6× 159 1.1× 36 0.4× 65 0.8× 32 971
Mika Hirose 471 0.7× 105 0.6× 179 1.2× 57 0.7× 44 0.6× 49 746
Aviv Paz 594 0.9× 63 0.3× 111 0.8× 101 1.2× 82 1.0× 39 934
Barbara W. Low 478 0.7× 99 0.6× 231 1.6× 38 0.4× 61 0.8× 41 799
Subhasis B. Biswas 783 1.2× 300 1.7× 66 0.5× 60 0.7× 28 0.4× 54 956
George Kalnitsky 616 1.0× 63 0.3× 81 0.6× 50 0.6× 101 1.3× 42 977
Marina Gay 449 0.7× 129 0.7× 81 0.6× 23 0.3× 63 0.8× 36 850
Marco Cavalli 695 1.1× 112 0.6× 70 0.5× 48 0.6× 62 0.8× 33 944

Countries citing papers authored by Mario R. Ermácora

Since Specialization
Citations

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

Fields of papers citing papers by Mario R. Ermácora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario R. Ermácora

This figure shows the co-authorship network connecting the top 25 collaborators of Mario R. Ermácora. A scholar is included among the top collaborators of Mario R. Ermácora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario R. Ermácora. Mario R. Ermácora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026