Mario A. Quevedo

47 total papers · 629 total citations
38 papers, 516 citations indexed

About

Mario A. Quevedo is a scholar working on Molecular Biology, Infectious Diseases and Pharmaceutical Science. According to data from OpenAlex, Mario A. Quevedo has authored 38 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Infectious Diseases and 10 papers in Pharmaceutical Science. Recurrent topics in Mario A. Quevedo's work include HIV/AIDS drug development and treatment (13 papers), Drug Solubulity and Delivery Systems (10 papers) and Biochemical and Molecular Research (6 papers). Mario A. Quevedo is often cited by papers focused on HIV/AIDS drug development and treatment (13 papers), Drug Solubulity and Delivery Systems (10 papers) and Biochemical and Molecular Research (6 papers). Mario A. Quevedo collaborates with scholars based in Argentina, Spain and Belgium. Mario A. Quevedo's co-authors include Ariana Zoppi, Margarita C. Briñón, Marcela R. Longhi, Wim Dehaen, Frank Claessens, Leentje Persoons, Christine Helsen, Christophe Pannecouque, Hérida Regina Nunes Salgado and Ana Carolina Kogawa and has published in prestigious journals such as The Journal of Physical Chemistry B, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Mario A. Quevedo

36 papers receiving 508 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 A. Quevedo 153 137 131 109 85 38 516
Michael B. Maurin 125 0.8× 143 1.0× 116 0.9× 115 1.1× 156 1.8× 33 549
Bodee Nutho 182 1.2× 76 0.6× 105 0.8× 159 1.5× 45 0.5× 46 568
N. Nagel 213 1.4× 44 0.3× 209 1.6× 48 0.4× 107 1.3× 51 616
Georgios Leonis 283 1.8× 34 0.2× 99 0.8× 103 0.9× 61 0.7× 31 571
Helvécio Vinícius Antunes Rocha 116 0.8× 240 1.8× 71 0.5× 62 0.6× 239 2.8× 59 571
Luckhana Lawtrakul 130 0.8× 102 0.7× 114 0.9× 88 0.8× 178 2.1× 45 563
Xiaochun Li‐Blatter 242 1.6× 67 0.5× 112 0.9× 47 0.4× 34 0.4× 15 533
Karen F. Wilkinson 216 1.4× 111 0.8× 107 0.8× 38 0.3× 33 0.4× 16 584
Norman Aubry 251 1.6× 25 0.2× 129 1.0× 133 1.2× 39 0.5× 23 539
T. V. Maltseva 441 2.9× 33 0.2× 89 0.7× 76 0.7× 62 0.7× 42 586

Countries citing papers authored by Mario A. Quevedo

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Quevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario A. Quevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Quevedo. A scholar is included among the top collaborators of Mario A. Quevedo 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 A. Quevedo. Mario A. Quevedo 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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