Mario Vega

42 total papers · 986 total citations
36 papers, 825 citations indexed

About

Mario Vega is a scholar working on Plant Science, Spectroscopy and Analytical Chemistry. According to data from OpenAlex, Mario Vega has authored 36 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 11 papers in Spectroscopy and 11 papers in Analytical Chemistry. Recurrent topics in Mario Vega's work include Analytical Methods in Pharmaceuticals (11 papers), Analytical Chemistry and Chromatography (11 papers) and Mycotoxins in Agriculture and Food (10 papers). Mario Vega is often cited by papers focused on Analytical Methods in Pharmaceuticals (11 papers), Analytical Chemistry and Chromatography (11 papers) and Mycotoxins in Agriculture and Food (10 papers). Mario Vega collaborates with scholars based in Chile, Mexico and Germany. Mario Vega's co-authors include Dietrich von Baer, Claudia Mardones, Mario Aranda, Sigrid Mennickent, Marta de Diego, Katherine Muñoz, Isidro Hermosín‐Gutiérrez, Peter Winterhalter, Carola Vergara and Antonieta Ruíz and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

Mario Vega

36 papers receiving 792 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 Vega 385 207 156 139 116 36 825
Brian T Schaneberg 266 0.7× 239 1.2× 267 1.7× 127 0.9× 71 0.6× 34 1.1k
Alessandra Trozzi 242 0.6× 442 2.1× 289 1.9× 86 0.6× 175 1.5× 33 758
F. Tateo 230 0.6× 304 1.5× 191 1.2× 196 1.4× 92 0.8× 76 819
Rosa Pitonzo 324 0.8× 203 1.0× 170 1.1× 48 0.3× 100 0.9× 25 701
M. Bononi 232 0.6× 283 1.4× 189 1.2× 194 1.4× 84 0.7× 69 822
G. Mellerio 142 0.4× 154 0.7× 295 1.9× 110 0.8× 65 0.6× 41 870
Jinzhen Zhang 151 0.4× 303 1.5× 213 1.4× 129 0.9× 59 0.5× 37 1.0k
Arquimedes Paixão Santana-Filho 488 1.3× 200 1.0× 296 1.9× 71 0.5× 76 0.7× 38 997
Matthew W. Bernart 227 0.6× 159 0.8× 280 1.8× 62 0.4× 196 1.7× 21 934
Haiyan Xu 197 0.5× 97 0.5× 322 2.1× 130 0.9× 73 0.6× 34 1.0k

Countries citing papers authored by Mario Vega

Since Specialization
Citations

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

Fields of papers citing papers by Mario Vega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Vega

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vega. A scholar is included among the top collaborators of Mario Vega 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 Vega. Mario Vega is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026