Guillermo Santa‐María

19 total papers · 592 total citations
19 papers, 451 citations indexed

About

Guillermo Santa‐María is a scholar working on Food Science, Spectroscopy and Plant Science. According to data from OpenAlex, Guillermo Santa‐María has authored 19 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 6 papers in Spectroscopy and 6 papers in Plant Science. Recurrent topics in Guillermo Santa‐María's work include Analytical Chemistry and Chromatography (5 papers), Meat and Animal Product Quality (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). Guillermo Santa‐María is often cited by papers focused on Analytical Chemistry and Chromatography (5 papers), Meat and Animal Product Quality (4 papers) and Antioxidant Activity and Oxidative Stress (4 papers). Guillermo Santa‐María collaborates with scholars based in Spain, Argentina and Brazil. Guillermo Santa‐María's co-authors include Marta M. Calvo, Marta Herráiz, Diana Dado, Luis Javier R. Barrón, Encarnación Pueyo, Begoña Bartolomé, Adolfo J. Martínez-Rodríguez, Gracia Patricia Blanch, Carmen Barba and Rosa Martı́nez and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Phytochemistry.

In The Last Decade

Guillermo Santa‐María

19 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Guillermo Santa‐María 154 150 112 99 93 19 451
G. Santa‐María 95 0.6× 205 1.4× 133 1.2× 102 1.0× 95 1.0× 24 515
Matthias Güntert 93 0.6× 232 1.5× 125 1.1× 73 0.7× 133 1.4× 17 454
Michael G. Legendre 104 0.7× 130 0.9× 85 0.8× 113 1.1× 129 1.4× 13 546
R. F. Matthews 112 0.7× 153 1.0× 106 0.9× 55 0.6× 117 1.3× 21 427
Edward Mubiru 75 0.5× 124 0.8× 83 0.7× 84 0.8× 65 0.7× 15 538
Katsumi Umano 79 0.5× 215 1.4× 125 1.1× 103 1.0× 161 1.7× 23 540
Martyna N. Wieczorek 69 0.4× 154 1.0× 112 1.0× 94 0.9× 101 1.1× 25 460
J. Smadja 87 0.6× 237 1.6× 82 0.7× 85 0.9× 114 1.2× 16 523
Dayun Zhao 61 0.4× 140 0.9× 151 1.3× 63 0.6× 79 0.8× 18 445
Gabriel D. Fernandes 56 0.4× 226 1.5× 105 0.9× 95 1.0× 73 0.8× 24 520

Countries citing papers authored by Guillermo Santa‐María

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Santa‐María

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo Santa‐María. 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 Guillermo Santa‐María. The network helps show where Guillermo Santa‐María may publish in the future.

Co-authorship network of co-authors of Guillermo Santa‐María

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Santa‐María. A scholar is included among the top collaborators of Guillermo Santa‐María 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 Guillermo Santa‐María. Guillermo Santa‐María 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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