Mar Vilanova

2.8k total citations
95 papers, 2.3k citations indexed

About

Mar Vilanova is a scholar working on Food Science, Plant Science and Tourism, Leisure and Hospitality Management. According to data from OpenAlex, Mar Vilanova has authored 95 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Food Science, 83 papers in Plant Science and 34 papers in Tourism, Leisure and Hospitality Management. Recurrent topics in Mar Vilanova's work include Fermentation and Sensory Analysis (90 papers), Horticultural and Viticultural Research (79 papers) and Wine Industry and Tourism (34 papers). Mar Vilanova is often cited by papers focused on Fermentation and Sensory Analysis (90 papers), Horticultural and Viticultural Research (79 papers) and Wine Industry and Tourism (34 papers). Mar Vilanova collaborates with scholars based in Spain, Portugal and Italy. Mar Vilanova's co-authors include J. M. Oliveira, Antón Masa, Zlatina Genisheva, Javier Tardáguila, Carmen Sieiro, María P. Diago, Isak S. Pretorius, Cristián Varela, Paul A. Henschke and Tracey Siebert and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Food Chemistry.

In The Last Decade

Mar Vilanova

93 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mar Vilanova Spain 30 2.0k 1.6k 615 444 375 95 2.3k
Tracey Siebert Australia 21 1.9k 1.0× 1.5k 0.9× 454 0.7× 574 1.3× 356 0.9× 40 2.1k
Rosa López Spain 29 1.8k 0.9× 1.6k 1.0× 579 0.9× 483 1.1× 277 0.7× 80 2.2k
Doris Rauhut Germany 23 1.6k 0.8× 1.2k 0.7× 440 0.7× 311 0.7× 270 0.7× 79 1.8k
Arlete Mendes‐Faia Portugal 28 1.7k 0.9× 1.1k 0.7× 446 0.7× 517 1.2× 188 0.5× 56 2.1k
Fernando Zamora Spain 33 2.6k 1.3× 2.2k 1.3× 1.1k 1.8× 375 0.8× 452 1.2× 111 3.0k
Karina Medina Uruguay 24 1.7k 0.8× 1.1k 0.7× 459 0.7× 374 0.8× 281 0.7× 37 1.8k
Pilar Santamaría Spain 29 1.9k 0.9× 1.6k 1.0× 551 0.9× 433 1.0× 326 0.9× 90 2.2k
Belén Ayestarán Spain 28 1.8k 0.9× 1.6k 0.9× 711 1.2× 302 0.7× 174 0.5× 72 2.0k
Ana Mendes‐Ferreira Portugal 25 1.4k 0.7× 879 0.5× 340 0.6× 429 1.0× 165 0.4× 48 1.7k
W.J. du Toit South Africa 24 1.4k 0.7× 978 0.6× 507 0.8× 321 0.7× 174 0.5× 56 1.7k

Countries citing papers authored by Mar Vilanova

Since Specialization
Citations

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

Fields of papers citing papers by Mar Vilanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Vilanova

This figure shows the co-authorship network connecting the top 25 collaborators of Mar Vilanova. A scholar is included among the top collaborators of Mar Vilanova 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 Mar Vilanova. Mar Vilanova 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.
Cancela, Javier J., et al.. (2025). Assessing the Environmental Sustainability of Organic Wine Grape Production with Qualified Designation of Origin in La Rioja, Spain. Agriculture. 15(5). 536–536. 4 indexed citations
3.
Gambacorta, Giuseppe, et al.. (2022). Effect of Early Basal Leaf Removal on Phenolic and Volatile Composition and Sensory Properties of Aglianico Red Wines. Plants. 11(5). 591–591. 7 indexed citations
4.
Santiago, Wilder Douglas, et al.. (2021). Production and characterization of a new distilled beverage from green coffee seed residue. Food Chemistry. 377. 131960–131960. 7 indexed citations
5.
González, M.R., et al.. (2020). Aroma composition of Tempranillo grapes as affected by iron deficiency chlorosis and vine water status. Scientia Agricola. 78(2). 8 indexed citations
6.
Fandiño, María, Mar Vilanova, Ilda Caldeira, et al.. (2020). Chemical composition and sensory properties of Albariño wine: Fertigation effects. Food Research International. 137. 109533–109533. 4 indexed citations
7.
Segade, Susana Rı́o, Maria Alessandra Paissoni, Mar Vilanova, et al.. (2019). Phenolic Composition Influences the Effectiveness of Fining Agents in Vegan-Friendly Red Wine Production. Molecules. 25(1). 120–120. 18 indexed citations
8.
Segade, Susana Rı́o, et al.. (2018). Grape VOCs Response to Postharvest Short-Term Ozone Treatments. Frontiers in Plant Science. 9. 1826–1826. 14 indexed citations
9.
Ayestarán, Belén, et al.. (2018). Effect of the winemaking process on the volatile composition and aromatic profile of Tempranillo Blanco wines. Food Chemistry. 276. 187–194. 58 indexed citations
10.
Vilanova, Mar, et al.. (2018). Assessment fertigation effects on chemical composition of Vitis vinifera L. cv. Albariño. Food Chemistry. 278. 636–643. 32 indexed citations
11.
Vilanova, Mar, María P. Diago, Zlatina Genisheva, J. M. Oliveira, & Javier Tardáguila. (2011). Early leaf removal impact on volatile composition of Tempranillo wines. Journal of the Science of Food and Agriculture. 92(4). 935–942. 40 indexed citations
12.
Duarte, Whasley Ferreira, Disney Ribeiro Dias, J. M. Oliveira, et al.. (2010). Raspberry (Rubus idaeus L.) wine: Yeast selection, sensory evaluation and instrumental analysis of volatile and other compounds. Food Research International. 43(9). 2303–2314. 104 indexed citations
13.
Vilanova, Mar, Maurizio Ugliano, Cristián Varela, et al.. (2007). Assimilable nitrogen utilisation and production of volatile and non-volatile compounds in chemically defined medium by Saccharomyces cerevisiae wine yeasts. Applied Microbiology and Biotechnology. 77(1). 145–157. 197 indexed citations
14.
Masa, Antón, Mar Vilanova, & Federico Pomar. (2007). Varietal differences among the flavonoid profiles of white grape cultivars studied by high-performance liquid chromatography. Journal of Chromatography A. 1164(1-2). 291–297. 37 indexed citations
15.
Vilanova, Mar & Sol Zamuz. (2006). Volatile composition of the Vitis vinifera Albariño musts according to geographic area from Rías Baixas AOC (Spain). Italian Journal of Food Science. 18(3). 323–327. 2 indexed citations
16.
Vilanova, Mar, Isabelle Masneuf‐Pomarède, & Denis Dubourdieu. (2005). Influence of Saccharomyces cerevisiae Strains on General Composition and Sensorial Properties of White Wines Made from Vitis vinifera cv. Albariño. Food Technology and Biotechnology. 43(1). 79–83. 17 indexed citations
17.
Vilanova, Mar, et al.. (2005). Characterization of yeast strains from Rías Baixas (NW Spain) and their contribution to the fermentation of Albariño wine. Annals of Microbiology. 55(1). 23–26. 13 indexed citations
18.
Vilanova, Mar, et al.. (2005). El sector vitivinícola australiano. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 4006–4013.
19.
Vilanova, Mar & Isabelle Masneuf‐Pomarède. (2005). Effect of three Saccharomyces cerevisiae strains on the volatile composition of Albariño wines. Italian Journal of Food Science. 17(2). 221–227. 8 indexed citations
20.
Vilanova, Mar, Isabelle Masneuf‐Pomarède, & Denis Dubourdieu. (1996). Identificación genética de cepas de levadura del "Valle del Salnés" responsables de la fermentación espontánea del vino Albariño. 36–40. 1 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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