María-Paz De Peña

3.3k total citations
60 papers, 2.7k citations indexed

About

María-Paz De Peña is a scholar working on Pharmacology, Food Science and Pathology and Forensic Medicine. According to data from OpenAlex, María-Paz De Peña has authored 60 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pharmacology, 23 papers in Food Science and 20 papers in Pathology and Forensic Medicine. Recurrent topics in María-Paz De Peña's work include Coffee research and impacts (27 papers), Tea Polyphenols and Effects (20 papers) and Phytochemicals and Antioxidant Activities (19 papers). María-Paz De Peña is often cited by papers focused on Coffee research and impacts (27 papers), Tea Polyphenols and Effects (20 papers) and Phytochemicals and Antioxidant Activities (19 papers). María-Paz De Peña collaborates with scholars based in Spain, United Kingdom and Italy. María-Paz De Peña's co-authors include Concepción Cid, Iziar A. Ludwig, Susana Andueza, Isabel Juániz, Jimena Bravo, Carmen Monente, Magdalena Jeszka‐Skowron, Lothar W. Kroh, José Belló and Aleksandra Sentkowska and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Pharmaceutical Sciences.

In The Last Decade

María-Paz De Peña

60 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María-Paz De Peña Spain 30 1.4k 1.0k 757 625 468 60 2.7k
Concepción Cid Spain 32 1.6k 1.1× 1.2k 1.2× 861 1.1× 634 1.0× 514 1.1× 68 3.0k
Ana Belščak‐Cvitanović Croatia 28 398 0.3× 1.8k 1.7× 389 0.5× 735 1.2× 508 1.1× 60 2.9k
Grażyna Budryn Poland 27 544 0.4× 943 0.9× 362 0.5× 333 0.5× 368 0.8× 83 2.0k
Renaud Boulanger France 30 499 0.4× 1.3k 1.3× 249 0.3× 292 0.5× 954 2.0× 84 2.5k
L. Jagan Mohan Rao India 26 625 0.4× 752 0.7× 300 0.4× 490 0.8× 612 1.3× 45 2.3k
Ewa Nebesny Poland 31 397 0.3× 1.5k 1.5× 241 0.3× 334 0.5× 489 1.0× 78 2.4k
Wenjiang Dong China 21 447 0.3× 806 0.8× 278 0.4× 237 0.4× 357 0.8× 55 1.7k
Devin G. Peterson United States 32 306 0.2× 1.4k 1.4× 426 0.6× 614 1.0× 482 1.0× 104 3.0k
Philip Curran Singapore 23 442 0.3× 917 0.9× 210 0.3× 334 0.5× 501 1.1× 53 1.5k
Monica Anese Italy 39 647 0.5× 2.6k 2.6× 574 0.8× 1.8k 2.8× 1.2k 2.7× 113 5.2k

Countries citing papers authored by María-Paz De Peña

Since Specialization
Citations

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

Fields of papers citing papers by María-Paz De Peña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María-Paz De Peña. 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 María-Paz De Peña. The network helps show where María-Paz De Peña may publish in the future.

Co-authorship network of co-authors of María-Paz De Peña

This figure shows the co-authorship network connecting the top 25 collaborators of María-Paz De Peña. A scholar is included among the top collaborators of María-Paz De Peña 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 María-Paz De Peña. María-Paz De Peña 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.
Pereira‐Caro, Gema, et al.. (2025). High-Pressure and Thermal Pasteurization Applied to Smoothies Enhances (Poly)Phenol Bioaccessibility along the Gastrointestinal Tract. Journal of Agricultural and Food Chemistry. 73(25). 15561–15578. 1 indexed citations
2.
Juániz, Isabel, et al.. (2021). Extraction of (Poly)phenolic Compounds of Cactus (Opuntia ficus-indica (L.) Mill.) Cladodes. Food Analytical Methods. 14(6). 1167–1175. 18 indexed citations
3.
Gill, Chris I. R., et al.. (2019). Digestion and Colonic Fermentation of Raw and CookedOpuntia ficus-indicaCladodes Impacts Bioaccessibility and Bioactivity. Journal of Agricultural and Food Chemistry. 67(9). 2490–2499. 23 indexed citations
4.
Cid, Concepción, et al.. (2017). Impact of cooking process on nutritional composition and antioxidants of cactus cladodes (Opuntia ficus-indica). Food Chemistry. 240. 1055–1062. 69 indexed citations
5.
Jeszka‐Skowron, Magdalena, Aleksandra Sentkowska, Krystyna Pyrzyńska, & María-Paz De Peña. (2016). Chlorogenic acids, caffeine content and antioxidant properties of green coffee extracts: influence of green coffee bean preparation. European Food Research and Technology. 242(8). 1403–1409. 198 indexed citations
6.
Monente, Carmen, et al.. (2015). Assessment of Total (Free and Bound) Phenolic Compounds in Spent Coffee Extracts. Journal of Agricultural and Food Chemistry. 63(17). 4327–4334. 75 indexed citations
7.
Juániz, Isabel, Iziar A. Ludwig, Gema Pereira‐Caro, et al.. (2015). Influence of heat treatment on antioxidant capacity and (poly)phenolic compounds of selected vegetables. Food Chemistry. 197(Pt A). 466–473. 117 indexed citations
8.
Monente, Carmen, Iziar A. Ludwig, Angélique Stalmach, et al.. (2015). In vitrostudies on the stability in the proximal gastrointestinal tract and bioaccessibility in Caco-2 cells of chlorogenic acids from spent coffee grounds. International Journal of Food Sciences and Nutrition. 66(6). 657–664. 34 indexed citations
9.
Ludwig, Iziar A., et al.. (2014). Contribution of volatile compounds to the antioxidant capacity of coffee. Food Research International. 61. 67–74. 38 indexed citations
10.
Ludwig, Iziar A., María-Paz De Peña, Concepción Cid, & Cabir Alan. (2013). Catabolism of coffee chlorogenic acids by human colonic microbiota. BioFactors. 39(6). 623–632. 141 indexed citations
11.
Bravo, Jimena, Leire Arbillaga, María-Paz De Peña, & Concepción Cid. (2013). Antioxidant and genoprotective effects of spent coffee extracts in human cells. Food and Chemical Toxicology. 60. 397–403. 49 indexed citations
12.
Peña, María-Paz De, et al.. (2010). Influence of Brewing Method and Acidity Regulators on the Antioxidant Capacity of Coffee Brews. Journal of Agricultural and Food Chemistry. 58(5). 2958–2965. 74 indexed citations
13.
Andriot, Isabelle, et al.. (2008). How Does Roasting Process Influence the Retention of Coffee Aroma Compounds by Lyophilized Coffee Extract?. Journal of Food Science. 73(3). S165–71. 10 indexed citations
14.
Andueza, Susana, et al.. (2008). Caffeic acid decomposition products: Antioxidants or pro-oxidants?. Food Research International. 42(1). 51–55. 32 indexed citations
15.
Sopelana, Patricia, et al.. (2008). Changes in Volatile Compounds and Overall Aroma Profile during Storage of Coffee Brews at 4 and 25 °C. Journal of Agricultural and Food Chemistry. 56(9). 3145–3154. 35 indexed citations
16.
17.
Andueza, Susana, et al.. (2003). Influence of extraction temperature on the final quality of espresso coffee. Journal of the Science of Food and Agriculture. 83(3). 240–248. 81 indexed citations
18.
Sanz, Cristina, et al.. (2001). Characterization of Espresso Coffee Aroma by Static Headspace GC−MS and Sensory Flavor Profile. Journal of Agricultural and Food Chemistry. 49(11). 5437–5444. 137 indexed citations
19.
20.
Zapelena, M. J., et al.. (1997). Lipid Fractions of Dry Fermented Sausages Change when Starter Culture and/or Aspergillus Lipase are Added. Journal of Food Science. 62(5). 1076–1079. 11 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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