Mario Vega

989 citations
36 papers · 827 indexed · h-index 18
Topics
Analytical Chemistry and Chromatography (11 papers)Analytical Methods in Pharmaceuticals (11 papers)Mycotoxins in Agriculture and Food (10 papers)
Partner nations
ChileMexicoGermany

In The Last Decade

Mario Vega

36 papers receiving 794 citations

Peers

Mario Vega
Comparison fields: 5 of 98
  • Plant Science 386
  • Food Science 208
  • Molecular Biology 156
  • Analytical Chemistry 139
  • Biochemistry 116
Replace Yann Guitton with:
Yann Guitton France
Brian T Schaneberg United States
Michael G. Rowan United Kingdom
Samuel W Page United States
Leonardo Castellanos Colombia
Agnieszka Ludwiczuk Poland
Adam J. Matich New Zealand
Yue Song China
Eva de Rijke Netherlands
Enrique Ramı́rez-Chávez Mexico
Mario Vega relative to Yann Guitton France Yann Guitton's profile →
Citations per field
00.5×1.5×2.3×
Yann Guitton · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 6
2 40
3 23
4 28
5
Influence of abomasal infusion of the non-ionic surfactant Tween 80 on postruminal fatty acids digestion in steers fed a fat-supplemented, high-energy diet
1
6 3
7 11
8 174
9 48
10 32
11 21
12 65
13 11
14 18
15 24
16 24
17 50
18 2
19 37
20
Aplicación del diagrama de Stiff como herramienta geoquímica en la exploración geotérmica del valle de Mexicali, Baja California
2

About Mario Vega

Mario Vega is a scholar working on Analytical Chemistry, Spectroscopy and Pharmacology, having authored 36 papers that have together received 827 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (11 papers), Analytical Methods in Pharmaceuticals (11 papers) and Mycotoxins in Agriculture and Food (10 papers). The work is most often cited by research in Biochemistry (116 citations), Analytical Chemistry (139 citations) and Food Science (208 citations). Mario Vega has collaborated with scholars based in Chile, Mexico and Germany. Frequent co-authors include Dietrich von Baer, Mario Aranda, Claudia Mardones, Sigrid Mennickent, Marta de Diego, Katherine Muñoz, Peter Winterhalter, Antonieta Ruíz, Carola Vergara and Isidro Hermosín‐Gutiérrez. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Analytica Chimica Acta.

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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