Baltasar Ruiz‐Roso

492 total citations
15 papers, 400 citations indexed

About

Baltasar Ruiz‐Roso is a scholar working on Nutrition and Dietetics, Biochemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Baltasar Ruiz‐Roso has authored 15 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nutrition and Dietetics, 5 papers in Biochemistry and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Baltasar Ruiz‐Roso's work include Phytochemicals and Antioxidant Activities (5 papers), Fatty Acid Research and Health (5 papers) and Natural Antidiabetic Agents Studies (4 papers). Baltasar Ruiz‐Roso is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Fatty Acid Research and Health (5 papers) and Natural Antidiabetic Agents Studies (4 papers). Baltasar Ruiz‐Roso collaborates with scholars based in Spain, Italy and United Kingdom. Baltasar Ruiz‐Roso's co-authors include José Carlos Quintela, Natalia de las Heras, Vicente Lahera, Beatriz Martín‐Fernández, Sandra Ballesteros, Francisco J. Sánchez‐Muniz, Javier Haya, Sara Bastida, Gonzálo Varela and María Belén Ruiz-Roso and has published in prestigious journals such as Food Chemistry, Nutrients and British Journal Of Nutrition.

In The Last Decade

Baltasar Ruiz‐Roso

15 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baltasar Ruiz‐Roso Spain 11 128 101 86 61 57 15 400
Ibolya Kocsis Hungary 10 78 0.6× 63 0.6× 82 1.0× 75 1.2× 65 1.1× 31 404
Adrián Macho‐González Spain 14 120 0.9× 111 1.1× 57 0.7× 99 1.6× 67 1.2× 31 435
Irina Monnard Switzerland 13 127 1.0× 160 1.6× 86 1.0× 159 2.6× 83 1.5× 16 697
Julie Mardon France 13 91 0.7× 153 1.5× 58 0.7× 175 2.9× 55 1.0× 24 603
Juliana Nunes Brazil 8 171 1.3× 147 1.5× 88 1.0× 51 0.8× 57 1.0× 16 436
Odutola Osilesi Nigeria 14 81 0.6× 122 1.2× 54 0.6× 64 1.0× 157 2.8× 42 561
Nathália Moura‐Nunes Brazil 12 144 1.1× 98 1.0× 112 1.3× 80 1.3× 83 1.5× 21 444
Ji‐Hye Jung South Korea 12 138 1.1× 57 0.6× 95 1.1× 108 1.8× 92 1.6× 34 408
Rasha S. Mohamed Egypt 11 156 1.2× 111 1.1× 45 0.5× 49 0.8× 83 1.5× 58 355
Alberto Guadarrama Spain 9 184 1.4× 130 1.3× 207 2.4× 90 1.5× 59 1.0× 11 415

Countries citing papers authored by Baltasar Ruiz‐Roso

Since Specialization
Citations

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

Fields of papers citing papers by Baltasar Ruiz‐Roso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Baltasar Ruiz‐Roso. 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 Baltasar Ruiz‐Roso. The network helps show where Baltasar Ruiz‐Roso may publish in the future.

Co-authorship network of co-authors of Baltasar Ruiz‐Roso

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

All Works

15 of 15 papers shown
1.
Macho‐González, Adrián, Alba Garcimartín, María Elvira López‐Oliva, et al.. (2019). Can Carob-Fruit-Extract-Enriched Meat Improve the Lipoprotein Profile, VLDL-Oxidation, and LDL Receptor Levels Induced by an Atherogenic Diet in STZ-NAD-Diabetic Rats?. Nutrients. 11(2). 332–332. 21 indexed citations
2.
Ruiz-Roso, María Belén, et al.. (2018). In vivo bioavailability of polyphenols from grape by‐product extracts, and effect on lipemia of normocholesterolemic Wistar rats. Journal of the Science of Food and Agriculture. 98(15). 5581–5590. 14 indexed citations
3.
Ruiz-Roso, María Belén, José Carlos Quintela, Sandra Ballesteros, et al.. (2018). Effects of Low Phytanic Acid-Concentrated DHA on Activated Microglial Cells: Comparison with a Standard Phytanic Acid-Concentrated DHA. NeuroMolecular Medicine. 20(3). 328–342. 4 indexed citations
4.
Ruiz-Roso, María Belén, Víctor Echeverry‐Alzate, Baltasar Ruiz‐Roso, et al.. (2018). Low Phytanic Acid-Concentrated DHA Prevents Cognitive Deficit and Regulates Alzheimer Disease Mediators in an ApoE−/− Mice Experimental Model. Nutrients. 11(1). 11–11. 68 indexed citations
5.
Valero‐Muñoz, María, Sandra Ballesteros, Baltasar Ruiz‐Roso, et al.. (2017). Supplementation with an insoluble fiber obtained from carob pod (Ceratonia siliqua L.) rich in polyphenols prevents dyslipidemia in rabbits through SIRT1/PGC-1α pathway. European Journal of Nutrition. 58(1). 357–366. 24 indexed citations
6.
Heras, Natalia de las, María Valero‐Muñoz, Beatriz Martín‐Fernández, et al.. (2016). Molecular factors involved in the hypolipidemic- and insulin-sensitizing effects of a ginger (Zingiber officinale Roscoe) extract in rats fed a high-fat diet. Applied Physiology Nutrition and Metabolism. 42(2). 209–215. 41 indexed citations
7.
Ruiz‐Roso, Baltasar, et al.. (2010). Insoluble Carob Fiber Rich in Polyphenols Lowers Total and LDL Cholesterol in Hypercholesterolemic Sujects. Plant Foods for Human Nutrition. 65(1). 50–56. 74 indexed citations
8.
Varela, Gonzálo & Baltasar Ruiz‐Roso. (2009). Some Effects of Deep Frying on Dietary Fat Intake. Nutrition Reviews. 50(9). 256–262. 9 indexed citations
9.
Bastida, Sara, et al.. (2009). Antioxidant activity of Carob fruit extracts in cooked pork meat systems during chilled and frozen storage. Food Chemistry. 116(3). 748–754. 61 indexed citations
10.
Anta, Rosa María Ortega, Aránzazu Aparicio, Elena Rodríguez‐Rodríguez, et al.. (2008). Preliminary data about the influence of vitamin D status on the loss of body fat in young overweight/obese women following two types of hypocaloric diet. British Journal Of Nutrition. 100(2). 269–272. 37 indexed citations
11.
Sánchez‐Muniz, Francisco J., et al.. (2007). A non‐extractable condensed‐tannins fiber reduces thermal oxidation in oils at frying temperature. European Journal of Lipid Science and Technology. 109(12). 1218–1225. 14 indexed citations
12.
Cuadrado, Carmen, Á Carbajal, Camilo Romero Núñez, Baltasar Ruiz‐Roso, & O Moreiras. (1998). [Spanish contribution to the creation of a European analytical database of trans-fatty acids].. PubMed. 13(1). 21–7. 2 indexed citations
13.
Varela‐Moreiras, Gregorio, C. V. Ragel, & Baltasar Ruiz‐Roso. (1994). Effects of prolonged aspirin or acetaminophen administration to rats on liver folate content and distribution. Relation to DNA methylation and S-adenosylmethionine.. PubMed. 64(1). 41–6. 7 indexed citations
14.
Varela, Gonzálo, Montse Pérez, & Baltasar Ruiz‐Roso. (1990). Changes in the Quantitative and Qualitative Composition of Fat from Fish, due to Seasonality and Industrial and Culinary Processing. Forum of nutrition/Bibliotheca Nutritio et dieta. 104–109. 13 indexed citations
15.
Varela, Gonzálo, et al.. (1986). Influence of repeated frying on the digestive utilisation of various fats. Journal of the Science of Food and Agriculture. 37(5). 487–490. 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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