E. Sánchez‐Palomo

2.0k total citations
49 papers, 1.7k citations indexed

About

E. Sánchez‐Palomo is a scholar working on Food Science, Plant Science and Biochemistry. According to data from OpenAlex, E. Sánchez‐Palomo has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Food Science, 42 papers in Plant Science and 28 papers in Biochemistry. Recurrent topics in E. Sánchez‐Palomo's work include Fermentation and Sensory Analysis (46 papers), Horticultural and Viticultural Research (41 papers) and Phytochemicals and Antioxidant Activities (28 papers). E. Sánchez‐Palomo is often cited by papers focused on Fermentation and Sensory Analysis (46 papers), Horticultural and Viticultural Research (41 papers) and Phytochemicals and Antioxidant Activities (28 papers). E. Sánchez‐Palomo collaborates with scholars based in Spain, Mexico and France. E. Sánchez‐Palomo's co-authors include M.S. Pérez-Coello, M. Consuelo Díaz‐Maroto, Miguel Ángel González Viñas, E. Gómez García‐Carpintero, M.A. González‐Viñas, Ignacio Javier Díaz-Maroto, M. D. Cabezudo, Isidro Hermosín‐Gutiérrez, A. García Ruiz and María A. Trujillo and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Food Research International.

In The Last Decade

E. Sánchez‐Palomo

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Sánchez‐Palomo Spain 23 1.5k 1.1k 705 268 155 49 1.7k
Miriam Ortega-Herás Spain 29 1.4k 0.9× 1.0k 1.0× 688 1.0× 155 0.6× 187 1.2× 55 1.6k
W.J. du Toit South Africa 24 1.4k 1.0× 978 0.9× 507 0.7× 321 1.2× 174 1.1× 56 1.7k
Kevin H. Pardon Australia 22 1.6k 1.1× 1.0k 1.0× 572 0.8× 318 1.2× 129 0.8× 22 1.8k
Mango Parker Australia 18 1.2k 0.8× 844 0.8× 548 0.8× 340 1.3× 109 0.7× 32 1.6k
Wendu Tesfaye Spain 23 1.3k 0.8× 761 0.7× 503 0.7× 227 0.8× 137 0.9× 36 1.5k
Doris Rauhut Germany 23 1.6k 1.0× 1.2k 1.1× 440 0.6× 311 1.2× 270 1.7× 79 1.8k
Alain Razungles France 20 1.3k 0.9× 1.1k 1.0× 526 0.7× 439 1.6× 151 1.0× 33 1.5k
Maria Tufariello Italy 28 1.5k 1.0× 907 0.9× 452 0.6× 308 1.1× 212 1.4× 58 1.8k
Belén Ayestarán Spain 28 1.8k 1.2× 1.6k 1.5× 711 1.0× 302 1.1× 174 1.1× 72 2.0k
Olga Laureano Portugal 23 1.5k 1.0× 1.2k 1.1× 1.1k 1.5× 354 1.3× 115 0.7× 52 1.9k

Countries citing papers authored by E. Sánchez‐Palomo

Since Specialization
Citations

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

Fields of papers citing papers by E. Sánchez‐Palomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Sánchez‐Palomo. 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 E. Sánchez‐Palomo. The network helps show where E. Sánchez‐Palomo may publish in the future.

Co-authorship network of co-authors of E. Sánchez‐Palomo

This figure shows the co-authorship network connecting the top 25 collaborators of E. Sánchez‐Palomo. A scholar is included among the top collaborators of E. Sánchez‐Palomo 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 E. Sánchez‐Palomo. E. Sánchez‐Palomo 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.
3.
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
4.
Sánchez‐Palomo, E., et al.. (2024). Effects of winemaking techniques on the volatile compounds of Chelva wines. Food Bioscience. 59. 104121–104121. 4 indexed citations
5.
Sánchez‐Palomo, E., et al.. (2024). Enhancing the Aroma of Dealcoholized La Mancha Tempranillo Rosé Wines with Their Aromatic Distillates. Beverages. 10(4). 123–123. 1 indexed citations
6.
Sánchez‐Palomo, E., et al.. (2024). Aroma enhancement of dealcoholized wines using enzyme treatment and glycosidic aroma precursors. LWT. 210. 116824–116824. 3 indexed citations
7.
8.
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
9.
Sánchez‐Palomo, E., et al.. (2019). The aroma of La Mancha Chelva wines: Chemical and sensory characterization. Food Research International. 119. 135–142. 50 indexed citations
10.
Sánchez‐Palomo, E., María A. Trujillo, A. García Ruiz, & Miguel Ángel González Viñas. (2017). Aroma profile of malbec red wines from La Mancha region: Chemical and sensory characterization. Food Research International. 100(Pt 1). 201–208. 72 indexed citations
11.
Sánchez‐Palomo, E., et al.. (2014). Characterisation of free and glycosidically bound aroma compounds of La Mancha Verdejo white wines. Food Chemistry. 173. 1195–1202. 29 indexed citations
12.
García‐Carpintero, E. Gómez, E. Sánchez‐Palomo, & Miguel Ángel González Viñas. (2013). Volatile composition of Bobal red wines subjected to alcoholic/malolactic fermentation with oak chips. LWT. 55(2). 586–594. 27 indexed citations
13.
García‐Carpintero, E. Gómez, et al.. (2012). Impact of alternative technique to ageing using oak chips in alcoholic or in malolactic fermentation on volatile and sensory composition of red wines. Food Chemistry. 134(2). 851–863. 58 indexed citations
14.
García‐Carpintero, E. Gómez, et al.. (2012). Effect of co-winemaking in phenolic composition, color and antioxidant capacity of young red wines from La Mancha region. European Food Research and Technology. 235(1). 155–167. 13 indexed citations
15.
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
16.
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
17.
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
18.
Sánchez‐Palomo, E., M. Consuelo Díaz‐Maroto, & M.S. Pérez-Coello. (2005). Rapid determination of volatile compounds in grapes by HS-SPME coupled with GC–MS. Talanta. 66(5). 1152–1157. 140 indexed citations
19.
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
20.
Cabezudo, M. D., E. Sánchez‐Palomo, & Rosa Chicón. (2002). El color y la composición en polifenoles de los vinos tintos varietales de Castilla-La Mancha (España). Afinidad. 59(500). 435–443. 4 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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