Víctor Manuel Beato

20 total papers · 812 total citations
19 papers, 630 citations indexed

About

Víctor Manuel Beato is a scholar working on Plant Science, Food Science and Organic Chemistry. According to data from OpenAlex, Víctor Manuel Beato has authored 19 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Food Science and 4 papers in Organic Chemistry. Recurrent topics in Víctor Manuel Beato's work include Plant Micronutrient Interactions and Effects (5 papers), Garlic and Onion Studies (5 papers) and Edible Oils Quality and Analysis (4 papers). Víctor Manuel Beato is often cited by papers focused on Plant Micronutrient Interactions and Effects (5 papers), Garlic and Onion Studies (5 papers) and Edible Oils Quality and Analysis (4 papers). Víctor Manuel Beato collaborates with scholars based in Spain and Germany. Víctor Manuel Beato's co-authors include Alfredo Montaño, F. Orgaz, Antonio Higinio Sánchez, Antonio de Castro, Agustín González‐Fontes, M. Begoña Herrera-Rodríguez, Jesús Rexach, Juan J. Camacho‐Cristóbal, M. Teresa Navarro-Gochicoa and Antonio López‐López and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Food Research International.

In The Last Decade

Víctor Manuel Beato

19 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
Víctor Manuel Beato 434 196 117 98 74 19 630
Chung May Wu 373 0.9× 236 1.2× 148 1.3× 44 0.4× 91 1.2× 15 652
Milena Cotoras 361 0.8× 188 1.0× 211 1.8× 35 0.4× 124 1.7× 35 701
J. Scheffer 462 1.1× 437 2.2× 159 1.4× 36 0.4× 58 0.8× 16 776
A. Ortuño 399 0.9× 247 1.3× 266 2.3× 88 0.9× 302 4.1× 19 784
S. P. Jeevan Kumar 362 0.8× 118 0.6× 225 1.9× 47 0.5× 44 0.6× 19 744
Sheng-Yen Tsai 334 0.8× 138 0.7× 200 1.7× 29 0.3× 30 0.4× 26 628
Francesca Nicolì 418 1.0× 136 0.7× 85 0.7× 119 1.2× 130 1.8× 17 635
Pi-Yu Chao 234 0.5× 140 0.7× 166 1.4× 40 0.4× 207 2.8× 22 655
Emanuela Camilli 170 0.4× 135 0.7× 123 1.1× 36 0.4× 95 1.3× 26 590
Maya Prakash 282 0.6× 360 1.8× 68 0.6× 36 0.4× 140 1.9× 28 674

Countries citing papers authored by Víctor Manuel Beato

Since Specialization
Citations

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

Fields of papers citing papers by Víctor Manuel Beato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor Manuel Beato. 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 Víctor Manuel Beato. The network helps show where Víctor Manuel Beato may publish in the future.

Co-authorship network of co-authors of Víctor Manuel Beato

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Manuel Beato. A scholar is included among the top collaborators of Víctor Manuel Beato 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 Víctor Manuel Beato. Víctor Manuel Beato 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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