Antonia Priego

934 total citations
22 papers, 766 citations indexed

About

Antonia Priego is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Antonia Priego has authored 22 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Antonia Priego's work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Metabolism, Diabetes, and Cancer (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). Antonia Priego is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Metabolism, Diabetes, and Cancer (5 papers) and Ruminant Nutrition and Digestive Physiology (4 papers). Antonia Priego collaborates with scholars based in Spain, United States and Mexico. Antonia Priego's co-authors include Rafael Carmena, José T. Real, Juan F. Ascaso, Rosario I. Lorente, Pedro Romero‐Aroca, Sergio Martínez‐Hervás, Felipe Javier Chaves, J.F. Ascaso, Josep Redón and Carmen Ivorra and has published in prestigious journals such as Diabetes Care, The American Journal of Cardiology and British Journal Of Nutrition.

In The Last Decade

Antonia Priego

20 papers receiving 736 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonia Priego Spain 9 344 185 161 142 123 22 766
Gerald M. Reaven United States 12 357 1.0× 137 0.7× 224 1.4× 163 1.1× 81 0.7× 18 753
M. Carantoni United States 15 497 1.4× 307 1.7× 289 1.8× 238 1.7× 108 0.9× 22 997
Jang Yel Shin South Korea 16 237 0.7× 235 1.3× 241 1.5× 197 1.4× 241 2.0× 32 881
Pier Marco Piatti Italy 18 230 0.7× 133 0.7× 314 2.0× 149 1.0× 175 1.4× 32 1.0k
C. Rodríguez González Mexico 4 337 1.0× 186 1.0× 133 0.8× 149 1.0× 76 0.6× 5 651
Gábor Winkler Hungary 18 326 0.9× 351 1.9× 262 1.6× 156 1.1× 115 0.9× 73 1.2k
Soghra Rabizadeh Iran 15 349 1.0× 213 1.2× 113 0.7× 130 0.9× 49 0.4× 73 783
Rie Oka Japan 17 373 1.1× 266 1.4× 274 1.7× 153 1.1× 130 1.1× 46 974
Esen Akbay Türkiye 14 159 0.5× 92 0.5× 76 0.5× 157 1.1× 53 0.4× 34 559
Sukriti Kumar India 7 246 0.7× 109 0.6× 145 0.9× 102 0.7× 53 0.4× 17 533

Countries citing papers authored by Antonia Priego

Since Specialization
Citations

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

Fields of papers citing papers by Antonia Priego

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonia Priego

This figure shows the co-authorship network connecting the top 25 collaborators of Antonia Priego. A scholar is included among the top collaborators of Antonia Priego 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 Antonia Priego. Antonia Priego 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.
Mastrangelo, Annalaura, Antonia Priego, Gonzalo J. López-Martín, et al.. (2025). SGLT2i Therapy Prevents Anthracycline-Induced Cardiotoxicity in a Large Animal Model by Preserving Myocardial Energetics. JACC CardioOncology. 7(2). 171–184. 7 indexed citations
2.
García-García, Ana-Bárbara, Sergio Martínez‐Hervás, Pablo Marín-García, et al.. (2018). Gene expression profile following an oral unsaturated fat load in abdominal obese subjects. European Journal of Nutrition. 58(3). 1331–1337. 5 indexed citations
3.
Martínez‐Hervás, Sergio, Herminia González‐Navarro, Antonia Priego, et al.. (2016). Increased thioredoxin levels are related to insulin resistance in familial combined hyperlipidaemia. European Journal of Clinical Investigation. 46(7). 636–642. 4 indexed citations
4.
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7.
Real, José T., Sergio Martínez‐Hervás, Rosario Abellán, et al.. (2010). Plasma homocysteine levels are associated with ulceration of the foot in patients with type 2 diabetes mellitus. Diabetes/Metabolism Research and Reviews. 26(2). 115–120. 23 indexed citations
8.
Martínez‐Hervás, Sergio, Carmen Ivorra, Antonia Priego, et al.. (2009). Increased plasma xanthine oxidase activity is related to nuclear factor kappa beta activation and inflammatory markers in familial combined hyperlipidemia. Nutrition Metabolism and Cardiovascular Diseases. 20(10). 734–739. 29 indexed citations
9.
Martínez‐Hervás, Sergio, Pedro Romero‐Aroca, José T. Real, et al.. (2007). Classical cardiovascular risk factors according to fasting plasma glucose levels. European Journal of Internal Medicine. 19(3). 209–213. 9 indexed citations
10.
Martínez‐Hervás, Sergio, José T. Real, Antonia Priego, et al.. (2006). Familial Combined Hyperlipidemia, Metabolic Syndrome and Cardiovascular Disease. Revista Española de Cardiología (English Edition). 59(11). 1195–1198. 3 indexed citations
11.
Martínez‐Hervás, Sergio, José T. Real, Antonia Priego, et al.. (2006). Hiperlipidemia familiar combinada, síndrome metabólico y enfermedad cardiovascular. Revista Española de Cardiología. 59(11). 1195–1198. 3 indexed citations
12.
Ascaso, Juan F., et al.. (2004). Diagnosing Insulin Resistance by Simple Quantitative Methods in Subjects With Normal Glucose Metabolism. Diabetes Care. 27(5). 1249–1249. 9 indexed citations
13.
Ascaso, Juan F., et al.. (2003). Diagnosing Insulin Resistance by Simple Quantitative Methods in Subjects With Normal Glucose Metabolism. Diabetes Care. 26(12). 3320–3325. 409 indexed citations
14.
Ascaso, Juan F., et al.. (2001). Cuantificación de insulinorresistencia con los valores de insulina basal e índice HOMA en una población no diabética. Medicina Clínica. 117(14). 530–533. 191 indexed citations
15.
Ascaso, Juan F., et al.. (1997). Insulin Resistance in Patients With Familial Combined Hyperlipidemia and Coronary Artery Disease. The American Journal of Cardiology. 80(11). 1484–1487. 17 indexed citations
16.
Dixon, R. M., et al.. (1981). INTAKE, RUMEN LIQUID FLOW RATES AND FERMENTATION IN BULLS FED SISAL PULP SUPPLEMENTED WITH LEUCAENA FORAGE, PASTURE OR RICE POLISHINGS. 3 indexed citations
17.
Priego, Antonia, et al.. (1980). Rate of breakdown of sugar cane fibre treated with sodium hydroxide and its effect on rumen metabolism.. 5(3).
18.
Priego, Antonia, R. Elliott, & T. R. Preston. (1979). STUDIES ON THE DIGESTION IN THE FORESTOMACHS OF CATTLE OF A DIET BASED ON SISAL PULP: II SUPPLEMENTATION WITH RAMON (BROSIMUM ALICASTRUM) FORAGE AND RICE POLISHINGS 1. 2 indexed citations
19.
Priego, Antonia, et al.. (1979). Glucose metabolism in cattle given sugar cane based diets supplemented with varying quantities of rice polishings. British Journal Of Nutrition. 42(2). 341–347. 7 indexed citations
20.
Priego, Antonia, et al.. (1977). THE EFFECT ON PARAMETERS OF RUMEN FERMENTATION, RUMEN VOLUME AND FLUID FLOW RATE OF ZEBU BULLS GIVEN CHOPPED SUGAR CANE SUPPLEMENTED WITH RICE POLISHINGS OR CASSAVA ROOT MEAL. 8 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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