Mario Guerrero

82 total papers · 472 total citations
30 papers, 292 citations indexed

About

Mario Guerrero is a scholar working on Molecular Biology, Complementary and alternative medicine and Biochemistry. According to data from OpenAlex, Mario Guerrero has authored 30 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Complementary and alternative medicine and 5 papers in Biochemistry. Recurrent topics in Mario Guerrero's work include Medicinal Plant Extracts Effects (9 papers), Traditional and Medicinal Uses of Annonaceae (5 papers) and Bioactive Natural Diterpenoids Research (5 papers). Mario Guerrero is often cited by papers focused on Medicinal Plant Extracts Effects (9 papers), Traditional and Medicinal Uses of Annonaceae (5 papers) and Bioactive Natural Diterpenoids Research (5 papers). Mario Guerrero collaborates with scholars based in Colombia, Spain and Chile. Mario Guerrero's co-authors include Rosalı́a Carrón, Pilar Puebla, María Luisa Martín, Luís San Román, Arturo San Feliciano, Dolores Viña, J.A. Micó, Francisco Orallo, José Luis López‐Pérez and Esther del Olmo and has published in prestigious journals such as Journal of Ethnopharmacology, Life Sciences and Journal of Pharmacy and Pharmacology.

In The Last Decade

Mario Guerrero

28 papers receiving 276 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 Guerrero 135 130 54 41 40 30 292
Armelle T. Mbaveng 83 0.6× 126 1.0× 54 1.0× 27 0.7× 47 1.2× 26 278
Ombeline Danton 138 1.0× 150 1.2× 69 1.3× 46 1.1× 30 0.8× 31 315
Antônia Ribeiro 159 1.2× 109 0.8× 82 1.5× 22 0.5× 31 0.8× 21 324
Fujio Murai 147 1.1× 130 1.0× 58 1.1× 31 0.8× 60 1.5× 21 288
Tiago Branquinho Oliveira 107 0.8× 146 1.1× 80 1.5× 17 0.4× 47 1.2× 29 325
A. Sajeli Begum 89 0.7× 149 1.1× 38 0.7× 25 0.6× 36 0.9× 39 319
Ginda Haro 144 1.1× 80 0.6× 66 1.2× 60 1.5× 35 0.9× 34 319
Priscilla Rodrigues Valadares Campana 131 1.0× 95 0.7× 52 1.0× 37 0.9× 38 0.9× 20 289
Dương Thị Hải Yến 109 0.8× 161 1.2× 26 0.5× 33 0.8× 28 0.7× 53 294
Dayana Rubio Gouvea 87 0.6× 124 1.0× 41 0.8× 24 0.6× 26 0.7× 18 272

Countries citing papers authored by Mario Guerrero

Since Specialization
Citations

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

Fields of papers citing papers by Mario Guerrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Guerrero

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