Carmen Millán

494 total citations
16 papers, 379 citations indexed

About

Carmen Millán is a scholar working on Food Science, Molecular Biology and Plant Science. According to data from OpenAlex, Carmen Millán has authored 16 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Food Science, 8 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Carmen Millán's work include Fermentation and Sensory Analysis (15 papers), Fungal and yeast genetics research (5 papers) and Horticultural and Viticultural Research (5 papers). Carmen Millán is often cited by papers focused on Fermentation and Sensory Analysis (15 papers), Fungal and yeast genetics research (5 papers) and Horticultural and Viticultural Research (5 papers). Carmen Millán collaborates with scholars based in Spain, France and United States. Carmen Millán's co-authors include José M. Ortega, Eva Valero, Juan Carlos Mauricio, Manuel Medina, Juan Moreno, Rafael A. Peinado, Jean‐Michel Salmon, Azahara López‐Toledano, Julieta Mérida and Jean‐Marc Souquet and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and Journal of Industrial Microbiology & Biotechnology.

In The Last Decade

Carmen Millán

16 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carmen Millán Spain 11 329 215 152 85 47 16 379
Carmen Ancı́n Azpilicueta Spain 11 378 1.1× 236 1.1× 146 1.0× 117 1.4× 60 1.3× 19 458
Sergio Moser Italy 10 293 0.9× 229 1.1× 142 0.9× 109 1.3× 53 1.1× 30 387
Manuela Cersosimo Italy 5 302 0.9× 141 0.7× 145 1.0× 89 1.0× 85 1.8× 6 378
C.J. van Wyk South Africa 14 363 1.1× 245 1.1× 78 0.5× 96 1.1× 36 0.8× 24 390
L. Castellari Italy 8 359 1.1× 272 1.3× 138 0.9× 74 0.9× 43 0.9× 18 448
I. Magyar Hungary 10 384 1.2× 275 1.3× 121 0.8× 76 0.9× 47 1.0× 17 460
Ana María Molina Chile 4 362 1.1× 237 1.1× 73 0.5× 92 1.1× 67 1.4× 5 399
H. Mandery Germany 4 390 1.2× 280 1.3× 83 0.5× 161 1.9× 57 1.2× 8 419
Caroline Fornairon-Bonnefond France 9 329 1.0× 215 1.0× 117 0.8× 116 1.4× 46 1.0× 11 368
C. Fiore Italy 7 245 0.7× 128 0.6× 140 0.9× 37 0.4× 32 0.7× 12 304

Countries citing papers authored by Carmen Millán

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Millán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Millán

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Millán. A scholar is included among the top collaborators of Carmen Millán 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 Carmen Millán. Carmen Millán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Alba, María D., Miguel Castro, Stuart M. Clarke, et al.. (2011). Application of the solid state NMR to the study of the alcohol/alkane mixtures adsorption onto graphite. Solid State Nuclear Magnetic Resonance. 40(4). 138–143. 2 indexed citations
2.
Serratosa, María P., Azahara López‐Toledano, Carmen Millán, Manuel Medina, & Julieta Mérida. (2010). Changes of Ochratoxin A in Grapes Inoculated with Aspergillus carbonarius and Subjected to Chamber-Drying under Controlled Conditions. Journal of Agricultural and Food Chemistry. 58(22). 11907–11912. 12 indexed citations
3.
Millán, Carmen, et al.. (2009). Plasma Membrane Sterols Are Involved in Yeast's Ability To Adsorb Polyphenolic Compounds Resulting from Wine Model Solution Browning. Journal of Agricultural and Food Chemistry. 57(17). 8026–8032. 11 indexed citations
4.
Millán, Carmen, et al.. (2009). Effect of Different Yeast Strains and Their Culture Conditions on the Prevention of Wine Model Solution Browning by Yeast Lees. Journal of Agricultural and Food Chemistry. 57(9). 3771–3779. 12 indexed citations
5.
Millán, Carmen, et al.. (2006). Influence of nitrogen on the biological aging of sherry wine. Journal of the Science of Food and Agriculture. 86(13). 2113–2118. 10 indexed citations
6.
Mérida, Julieta, et al.. (2005). Retention of Browning Compounds by Yeasts Involved in the Winemaking of Sherry Type Wines. Biotechnology Letters. 27(20). 1565–1570. 14 indexed citations
7.
Peinado, Rafael A., et al.. (2004). Influence of Blending on the Content of Different Compounds in the Biological Aging of Sherry Dry Wines. Journal of Agricultural and Food Chemistry. 52(9). 2577–2581. 30 indexed citations
8.
Peinado, Rafael A., et al.. (2004). Discriminant Analysis of Sherry Wine during Biological Aging. American Journal of Enology and Viticulture. 55(4). 407–411. 5 indexed citations
9.
Valero, Eva, Carmen Millán, José M. Ortega, & Juan Carlos Mauricio. (2003). Concentration of amino acids in wine after the end of fermentation by Saccharomyces cerevisiae strains. Journal of the Science of Food and Agriculture. 83(8). 830–835. 70 indexed citations
10.
Valero, Eva, Carmen Millán, & José M. Ortega. (2001). Influence of Pre-Fermentative Treatment on the Fatty Acid Content of Saccharomyces cerevisiae(M330-9) during Alcoholic Fermentation of Grape Must.. Journal of Bioscience and Bioengineering. 91(2). 117–122. 10 indexed citations
11.
Valero, Eva, Carmen Millán, & José M. Ortega. (2001). Influence of pre-fermentative treatment on the fatty acid content of Saccharomyces cerevisiae (M330-9) during alcoholic fermentation of grape must. Journal of Bioscience and Bioengineering. 91(2). 117–122. 10 indexed citations
12.
Valero, Eva, et al.. (2001). Influence of oxygen addition during growth phase on the biosynthesis of lipids in Saccharomyces cerevisiae (M330-9) in enological fermentations. Journal of Bioscience and Bioengineering. 92(1). 33–38. 26 indexed citations
13.
Valero, Eva, Carmen Millán, & José M. Ortega. (2001). Influence of Oxygen Addition during Growth Phase on the Biosynthesis of Lipids in Saccharomyces cerevisiae (M330-9) in Enological Fermentations.. Journal of Bioscience and Bioengineering. 92(1). 33–38. 30 indexed citations
14.
Mauricio, Juan Carlos, Eva Valero, Carmen Millán, & José M. Ortega. (2001). Changes in Nitrogen Compounds in Must and Wine during Fermentation and Biological Aging by Flor Yeasts. Journal of Agricultural and Food Chemistry. 49(7). 3310–3315. 54 indexed citations
15.
Mauricio, Juan Carlos, et al.. (1998). In vitro specific activity of alcohol acetyltransferase and esterase in two flor yeast strains during biological aging of sherry wines. Journal of Fermentation and Bioengineering. 85(4). 369–374. 14 indexed citations
16.
Moreno, Juan, Carmen Millán, José M. Ortega, & Manuel Medina. (1991). Analytical differentiation of wine fermentations using pure and mixed yeast cultures. Journal of Industrial Microbiology & Biotechnology. 7(3). 181–189. 69 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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