M.A. González‐Viñas

1.6k total citations
39 papers, 1.3k citations indexed

About

M.A. González‐Viñas is a scholar working on Food Science, Plant Science and Biochemistry. According to data from OpenAlex, M.A. González‐Viñas has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Food Science, 27 papers in Plant Science and 14 papers in Biochemistry. Recurrent topics in M.A. González‐Viñas's work include Fermentation and Sensory Analysis (28 papers), Horticultural and Viticultural Research (25 papers) and Phytochemicals and Antioxidant Activities (14 papers). M.A. González‐Viñas is often cited by papers focused on Fermentation and Sensory Analysis (28 papers), Horticultural and Viticultural Research (25 papers) and Phytochemicals and Antioxidant Activities (14 papers). M.A. González‐Viñas collaborates with scholars based in Spain, Slovakia and Mexico. M.A. González‐Viñas's co-authors include M.S. Pérez-Coello, E. Sánchez‐Palomo, M. Consuelo Díaz‐Maroto, E. Gómez García‐Carpintero, L. Castro‐Vázquez, M. D. Cabezudo, Lourdes Cabezas, Emilia García Romero, Justa María Poveda and M.E. Alañón and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Food Research International.

In The Last Decade

M.A. González‐Viñas

38 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.A. González‐Viñas Spain 21 1.1k 682 484 230 189 39 1.3k
María Jesús Cejudo‐Bastante Spain 22 1.0k 0.9× 618 0.9× 490 1.0× 69 0.3× 123 0.7× 50 1.1k
Ana Mendes‐Ferreira Portugal 25 1.4k 1.3× 879 1.3× 340 0.7× 147 0.6× 429 2.3× 48 1.7k
André Barata Portugal 14 1.0k 0.9× 776 1.1× 176 0.4× 102 0.4× 205 1.1× 17 1.2k
A.I. Negueruela Spain 16 761 0.7× 646 0.9× 494 1.0× 67 0.3× 88 0.5× 28 1.2k
Vasileios Englezos Italy 24 1.1k 1.0× 782 1.1× 250 0.5× 36 0.2× 192 1.0× 39 1.2k
Miguel Ángel González Viñas Spain 19 928 0.8× 624 0.9× 396 0.8× 27 0.1× 150 0.8× 41 1.1k
K. F. Pocock Australia 20 926 0.8× 647 0.9× 186 0.4× 35 0.2× 254 1.3× 32 1.1k
Sara Canas Portugal 19 837 0.8× 599 0.9× 425 0.9× 30 0.1× 173 0.9× 59 1.1k
Francesca Fort Spain 18 884 0.8× 784 1.1× 297 0.6× 35 0.2× 133 0.7× 38 997
Francisco Pérez Nevado Spain 19 971 0.9× 508 0.7× 145 0.3× 39 0.2× 414 2.2× 43 1.2k

Countries citing papers authored by M.A. González‐Viñas

Since Specialization
Citations

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

Fields of papers citing papers by M.A. González‐Viñas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. González‐Viñas. 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 M.A. González‐Viñas. The network helps show where M.A. González‐Viñas may publish in the future.

Co-authorship network of co-authors of M.A. González‐Viñas

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. González‐Viñas. A scholar is included among the top collaborators of M.A. González‐Viñas 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 M.A. González‐Viñas. M.A. González‐Viñas 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.
Sánchez‐Palomo, E., et al.. (2025). Wine Waste Compost Addition to a Vineyard of Chelva Grape of Central Spain: Effect on Wine Volatile Compounds. Horticulturae. 11(2). 219–219. 1 indexed citations
2.
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Sánchez‐Palomo, E., et al.. (2024). Four new wines from La Mancha region: Chemical characterization of oenological parameters, phenolic composition and volatile compounds. Food Bioscience. 62. 105341–105341. 1 indexed citations
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Sánchez‐Palomo, E., et al.. (2023). Influence of Different Alcohol Reduction Technologies on the Volatile Composition of La Mancha Tempranillo Rosé Wines. Beverages. 9(3). 63–63. 8 indexed citations
6.
González‐Viñas, M.A.. (2020). Aroma Impact Compounds of Red Wines from La Mancha Region. 5(1). 176–186. 1 indexed citations
7.
García‐Carpintero, E. Gómez, et al.. (2011). Effect of Cofermentation of Grape Varieties on Aroma Profiles of La Mancha Red Wines. Journal of Food Science. 76(8). C1169–80. 20 indexed citations
8.
García‐Carpintero, E. Gómez, E. Sánchez‐Palomo, & M.A. González‐Viñas. (2010). Aroma characterization of red wines from cv. Bobal grape variety grown in La Mancha region. Food Research International. 44(1). 61–70. 51 indexed citations
9.
Sánchez‐Palomo, E., M.E. Alañón, M. Consuelo Díaz‐Maroto, M.A. González‐Viñas, & M.S. Pérez-Coello. (2009). Comparison of extraction methods for volatile compounds of Muscat grape juice. Talanta. 79(3). 871–876. 49 indexed citations
10.
Castro‐Vázquez, L., et al.. (2008). Influence of Storage Conditions on Chemical Composition and Sensory Properties of Citrus Honey. Journal of Agricultural and Food Chemistry. 56(6). 1999–2006. 56 indexed citations
11.
Cabezas, Lourdes, M.A. González‐Viñas, Cristina Ballesteros, & Pedro J. Martín-Álvarez. (2005). Application of Partial Least Squares regression to predict sensory attributes of artisanal and industrial Manchego cheeses. European Food Research and Technology. 222(3-4). 223–228. 7 indexed citations
12.
Díaz‐Maroto, M. Consuelo, et al.. (2005). Volatile composition and sensory characteristics of Chardonnay wines treated with American and Hungarian oak chips. Food Chemistry. 99(2). 350–359. 88 indexed citations
13.
Ballesteros, Cristina, M.A. González‐Viñas, Francisco J. Morales, & Lourdes Cabezas. (2004). Variations in organic acids during the ripening of artisanal and industrial Manchego cheeses. Milk science international/Milchwissenschaft. 59. 631–635. 5 indexed citations
14.
Sánchez‐Palomo, E., et al.. (2004). Aroma enhancement in wines from different grape varieties using exogenous glycosidases. Food Chemistry. 92(4). 627–635. 83 indexed citations
15.
16.
González‐Viñas, M.A., Justa María Poveda, A. García Ruiz, & Lourdes Cabezas. (2001). CHANGES IN CHEMICAL, SENSORY AND RHEOLOGICAL CHARACTERISTICS OF MANCHEGO CHEESES DURING RIPENING. Journal of Sensory Studies. 16(4). 361–371. 20 indexed citations
17.
Pérez-Coello, M.S., M.A. González‐Viñas, & M. D. Cabezudo. (2000). Chemical characteristics of young white wine of the varieties Airen, Viura and Macabeo.. 19(2). 125–129. 1 indexed citations
18.
Pérez-Coello, M.S., M.A. González‐Viñas, Emilia García Romero, M. D. Cabezudo, & J. Sanz. (2000). Chemical and sensory changes in white wines fermented in the presence of oak chips. International Journal of Food Science & Technology. 35(1). 23–32. 27 indexed citations
19.
González‐Viñas, M.A., M.S. Pérez-Coello, M. D. Cabezudo, & Pedro J. Martín‐Álvarez. (1998). SENSORY ANALYSIS OF AROMA ATTRIBUTES OF YOUNG AIRÉN WHITE WINES DURING STORAGE IN THE BOTTLE. Journal of Food Quality. 21(4). 285–297. 18 indexed citations
20.
González‐Viñas, M.A., M.S. Pérez-Coello, María Desamparados Salvador, M. D. Cabezudo, & Pedro J. Martín-Álvarez. (1996). Changes in gas-chromatographic volatiles of young Airen wines during bottle storage. Food Chemistry. 56(4). 399–403. 35 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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