Fernando Calderón

3.3k total citations
55 papers, 2.5k citations indexed

About

Fernando Calderón is a scholar working on Food Science, Plant Science and Biochemistry. According to data from OpenAlex, Fernando Calderón has authored 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Food Science, 39 papers in Plant Science and 15 papers in Biochemistry. Recurrent topics in Fernando Calderón's work include Fermentation and Sensory Analysis (46 papers), Horticultural and Viticultural Research (39 papers) and Phytochemicals and Antioxidant Activities (15 papers). Fernando Calderón is often cited by papers focused on Fermentation and Sensory Analysis (46 papers), Horticultural and Viticultural Research (39 papers) and Phytochemicals and Antioxidant Activities (15 papers). Fernando Calderón collaborates with scholars based in Spain, Germany and Finland. Fernando Calderón's co-authors include Santiago Benito, António Morata, José Antonio Suárez-Lepe, Ángel Benito, Antonio Santos, Domingo Marquina, Eva Navascués, Felipe Palomero, Ignacio Belda and Raúl Alcántara-Suárez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Contemporary Sociology A Journal of Reviews and PLoS ONE.

In The Last Decade

Fernando Calderón

47 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando Calderón Spain 30 2.4k 1.8k 822 417 397 55 2.5k
Santiago Benito Spain 35 3.1k 1.3× 2.3k 1.3× 1.0k 1.2× 542 1.3× 467 1.2× 78 3.2k
José Antonio Suárez-Lepe Spain 35 2.7k 1.1× 1.9k 1.1× 1.1k 1.3× 379 0.9× 313 0.8× 63 2.9k
Purificación Hernández-Orte Spain 32 2.3k 0.9× 1.5k 0.9× 836 1.0× 279 0.7× 639 1.6× 53 2.7k
Yongsheng Tao China 32 2.2k 0.9× 1.5k 0.8× 881 1.1× 218 0.5× 478 1.2× 88 2.6k
Jan H. Swiegers Australia 21 2.8k 1.1× 1.6k 0.9× 634 0.8× 392 0.9× 752 1.9× 31 3.1k
Karina Medina Uruguay 24 1.7k 0.7× 1.1k 0.6× 459 0.6× 281 0.7× 374 0.9× 37 1.8k
Maurizio Ugliano Italy 33 2.9k 1.2× 2.1k 1.2× 1.0k 1.3× 355 0.9× 622 1.6× 92 3.4k
Carmen González Spain 27 1.6k 0.7× 1.2k 0.7× 727 0.9× 199 0.5× 159 0.4× 65 1.8k
Takatoshi Tominaga France 31 3.1k 1.3× 2.1k 1.2× 959 1.2× 409 1.0× 661 1.7× 46 3.5k
Maria Tufariello Italy 28 1.5k 0.6× 907 0.5× 452 0.5× 212 0.5× 308 0.8× 58 1.8k

Countries citing papers authored by Fernando Calderón

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Calderón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Calderón

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Calderón. A scholar is included among the top collaborators of Fernando Calderón 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 Fernando Calderón. Fernando Calderón 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
1.
Bosque, David, Josefina Vila‐Crespo, Violeta Ruipérez, et al.. (2025). Use of Schizosaccharomyces pombe to Consume Gluconic Acid in Grape Must in Unique and Sequential Inoculations With Saccharomyces cerevisiae. Australian Journal of Grape and Wine Research. 2025(1).
2.
4.
Vicente, Javier, Eva Navascués, Fernando Calderón, et al.. (2023). Combined Use of Schizosaccharomyces pombe and a Lachancea thermotolerans Strain with a High Malic Acid Consumption Ability for Wine Production. Fermentation. 9(2). 165–165. 13 indexed citations
5.
Vicente, Javier, Eva Navascués, Fernando Calderón, et al.. (2021). An Integrative View of the Role of Lachancea thermotolerans in Wine Technology. Foods. 10(11). 2878–2878. 49 indexed citations
6.
Vicente, Javier, Fernando Calderón, Antonio Santos, Domingo Marquina, & Santiago Benito. (2021). High Potential of Pichia kluyveri and Other Pichia Species in Wine Technology. International Journal of Molecular Sciences. 22(3). 1196–1196. 96 indexed citations
7.
Vicente, Javier, Javier Ruíz, Ignacio Belda, et al.. (2020). The Genus Metschnikowia in Enology. Microorganisms. 8(7). 1038–1038. 71 indexed citations
8.
Calderón, Fernando & Eduardo A. Gamarra. (2019). Crisis, inflexión y reforma del sistema de partidos en Bolivia. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas).
9.
Benito, Ángel, Fernando Calderón, & Santiago Benito. (2019). Mixed alcoholic fermentation of Schizosaccharomyces pombe and Lachancea thermotolerans and its influence on mannose-containing polysaccharides wine Composition. AMB Express. 9(1). 17–17. 35 indexed citations
10.
Belda, Ignacio, Javier Ruíz, Beata Beisert, et al.. (2017). Influence of Torulaspora delbrueckii in varietal thiol (3-SH and 4-MSP) release in wine sequential fermentations. International Journal of Food Microbiology. 257. 183–191. 86 indexed citations
11.
Chen, Kai, Carlos Escott, Iris Loira, et al.. (2016). The Effects of Pre-Fermentative Addition of Oenological Tannins on Wine Components and Sensorial Qualities of Red Wine. Molecules. 21(11). 1445–1445. 34 indexed citations
12.
Benito, Ángel, Daniel Jeffares, Felipe Palomero, et al.. (2016). Selected Schizosaccharomyces pombe Strains Have Characteristics That Are Beneficial for Winemaking. PLoS ONE. 11(3). e0151102–e0151102. 79 indexed citations
13.
Calderón, Fernando, et al.. (2014). Los jóvenes en Chile, México y Brasil: "disculpe la molestia, estamos cambiando el país". 88–93. 1 indexed citations
14.
Benito, Santiago, F. Palomero, Fernando Calderón, Daniel Palmero Llamas, & José Antonio Suárez-Lepe. (2014). Selection of appropriate Schizosaccharomyces strains for winemaking. Food Microbiology. 42. 218–224. 60 indexed citations
15.
Calderón, Fernando, et al.. (2009). Exportación de sacha inchi al mercado de Estados Unidos. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 3 indexed citations
16.
Morata, António, et al.. (2005). Effects of pH, temperature and SO2 on the formation of pyranoanthocyanins during red wine fermentation with two species of Saccharomyces. International Journal of Food Microbiology. 106(2). 123–129. 107 indexed citations
17.
Calderón, Fernando, et al.. (2001). El metabolismo microbiano en el binomio corcho-vino. 1. 1 indexed citations
18.
Calderón, Fernando, Fernando Rodríguez Varela, Eva Navascués, et al.. (2001). Influence of pH and temperature in the biosynthesis of malic acid in wines by Saccharomyces cerevisiae. 74(845). 474–487. 1 indexed citations
19.
Calderón, Fernando, et al.. (1995). Fracción aromática de vinos tintos con crianza biológica: Alcoholes superiores, Metanol, Acroleína y Furfural. Alimentaria. 57–66. 3 indexed citations
20.
Calderón, Fernando, et al.. (1995). Fracción aromática de vinos tintos con crianza biológica: Aldehídos, Esteres y componentes acetoínicos. Alimentaria. 67–80. 2 indexed citations

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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