Albert Mas

9.8k total citations
203 papers, 7.5k citations indexed

About

Albert Mas is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Albert Mas has authored 203 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Food Science, 82 papers in Plant Science and 77 papers in Molecular Biology. Recurrent topics in Albert Mas's work include Fermentation and Sensory Analysis (133 papers), Horticultural and Viticultural Research (75 papers) and Fungal and yeast genetics research (28 papers). Albert Mas is often cited by papers focused on Fermentation and Sensory Analysis (133 papers), Horticultural and Viticultural Research (75 papers) and Fungal and yeast genetics research (28 papers). Albert Mas collaborates with scholars based in Spain, France and Uruguay. Albert Mas's co-authors include José Manuel Guillamón, María-Jesús Torija, Gemma Beltran, Nicolás Rozés, Braulio Esteve‐Zarzoso, Montse Poblet, Maïté Novo, M. Carmen Portillo, Estíbaliz Mateo and Chunxiao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Albert Mas

202 papers receiving 7.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Albert Mas Spain 52 5.4k 3.6k 2.4k 1.1k 937 203 7.5k
Luigi Moio Italy 42 3.7k 0.7× 2.3k 0.6× 991 0.4× 372 0.3× 325 0.3× 155 4.7k
James A. Kennedy United States 52 5.4k 1.0× 5.3k 1.5× 2.5k 1.1× 205 0.2× 675 0.7× 113 8.8k
Pangzhen Zhang Australia 38 2.1k 0.4× 1.4k 0.4× 1.1k 0.5× 305 0.3× 204 0.2× 109 4.1k
Jorge M. Ricardo‐da‐Silva Portugal 32 3.3k 0.6× 2.6k 0.7× 793 0.3× 248 0.2× 228 0.2× 97 5.0k
Thierry Doco France 37 3.2k 0.6× 3.0k 0.8× 732 0.3× 248 0.2× 82 0.1× 91 4.6k
Jicheng Zhan China 38 1.2k 0.2× 1.7k 0.5× 1.6k 0.7× 324 0.3× 94 0.1× 153 4.2k
Bernard A. Prior South Africa 47 1.5k 0.3× 1.9k 0.5× 5.2k 2.2× 1.2k 1.1× 118 0.1× 147 7.8k
Graham G. Stewart United Kingdom 39 2.3k 0.4× 1.2k 0.3× 2.3k 1.0× 673 0.6× 54 0.1× 154 4.1k
Zhen‐Ming Lu China 37 2.3k 0.4× 660 0.2× 2.0k 0.9× 1.3k 1.1× 31 0.0× 186 4.8k

Countries citing papers authored by Albert Mas

Since Specialization
Citations

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

Fields of papers citing papers by Albert Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Albert Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Mas. A scholar is included among the top collaborators of Albert Mas 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 Albert Mas. Albert Mas 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.
Ghiaci, Payam, Paula Jouhten, Jennifer Vázquez, et al.. (2024). Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes. Molecular Systems Biology. 20(10). 1109–1133. 4 indexed citations
2.
Jouhten, Paula, Dimitrios Konstantinidis, Filipa Pereira, et al.. (2022). Predictive evolution of metabolic phenotypes using model‐designed environments. Molecular Systems Biology. 18(10). e10980–e10980. 13 indexed citations
3.
Zhu, Xiaolin, María-Jesús Torija, Albert Mas, Gemma Beltran, & Yurena Navarro. (2021). Effect of a Multistarter Yeast Inoculum on Ethanol Reduction and Population Dynamics in Wine Fermentation. Foods. 10(3). 623–623. 19 indexed citations
4.
Mas, Albert, et al.. (2021). Protective Effects of Melatonin on Saccharomyces cerevisiae under Ethanol Stress. Antioxidants. 10(11). 1735–1735. 20 indexed citations
5.
Vázquez, Jennifer, et al.. (2020). Transcriptomic Insights into the Effect of Melatonin in Saccharomyces cerevisiae in the Presence and Absence of Oxidative Stress. Antioxidants. 9(10). 947–947. 20 indexed citations
6.
Beltran, Gemma, et al.. (2020). Effect of Several Nutrients and Environmental Conditions on Intracellular Melatonin Synthesis in Saccharomyces cerevisiae. Microorganisms. 8(6). 853–853. 21 indexed citations
7.
Mas, Albert, et al.. (2020). Nitrogen Preferences during Alcoholic Fermentation of Different Non-Saccharomyces Yeasts of Oenological Interest. Microorganisms. 8(2). 157–157. 85 indexed citations
8.
Zhu, Xiaolin, Yurena Navarro, Albert Mas, María-Jesús Torija, & Gemma Beltran. (2020). A Rapid Method for Selecting Non-Saccharomyces Strains with a Low Ethanol Yield. Microorganisms. 8(5). 658–658. 32 indexed citations
9.
Navarro, Yurena, María-Jesús Torija, Albert Mas, & Gemma Beltran. (2020). Viability-PCR Allows Monitoring Yeast Population Dynamics in Mixed Fermentations Including Viable but Non-Culturable Yeasts. Foods. 9(10). 1373–1373. 16 indexed citations
10.
Vázquez, Jennifer, Karlheinz Grillitsch, Günther Daum, et al.. (2018). The role of the membrane lipid composition in the oxidative stress tolerance of different wine yeasts. Food Microbiology. 78. 143–154. 55 indexed citations
11.
12.
González, Beatriz, et al.. (2018). The production of aromatic alcohols in non-Saccharomyces wine yeast is modulated by nutrient availability. Food Microbiology. 74. 64–74. 62 indexed citations
13.
Marullo, Philippe, et al.. (2015). Nitrogen modulation of yeast fitness and viability during sparkling wine production. Food Microbiology. 54. 106–114. 13 indexed citations
14.
Guillamón, José Manuel, et al.. (2014). The effect of nitrogen addition on the fermentative performance during sparkling wine production. Food Research International. 67. 126–135. 27 indexed citations
15.
Hidalgo, C., Estíbaliz Mateo, Albert Mas, & María-Jesús Torija. (2011). Identification of yeast and acetic acid bacteria isolated from the fermentation and acetification of persimmon (Diospyros kaki). Food Microbiology. 30(1). 98–104. 43 indexed citations
16.
Torija, María-Jesús, Estíbaliz Mateo, José Manuel Guillamón, & Albert Mas. (2009). Identification and quantification of acetic acid bacteria in wine and vinegar by TaqMan–MGB probes. Food Microbiology. 27(2). 257–265. 67 indexed citations
17.
Mas, Albert, et al.. (2007). Acetic acid bacteria in oenology. 3(4). 511–521. 6 indexed citations
18.
Baiges, Isabel, et al.. (2001). Eight cDNA encoding putative aquaporins in Vitis hybrid Richter‐110 and their differential expression. Journal of Experimental Botany. 52(362). 1949–1951. 31 indexed citations
19.
Abraldeṣ, Juan G., Alberto Sánchez‐Fueyo, Xavier Bessa, et al.. (1999). Persistent Hypertransaminasemia as the Presenting Feature of Celiac Disease. The American Journal of Gastroenterology. 94(4). 1095–1097. 6 indexed citations
20.
Paterson, Phyllis G., Albert Mas, Bibudhendra Sarkar, & Stanley Zlotkin. (1991). The Influence of Zinc-Binding Ligands in Fetal Circulation on Zinc Clearance Across the In Situ Perfused Guinea Pig Placenta. Journal of Nutrition. 121(3). 338–344. 19 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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