Patricia Botas

959 total citations
23 papers, 684 citations indexed

About

Patricia Botas is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Patricia Botas has authored 23 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Patricia Botas's work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Treatment and Management (4 papers). Patricia Botas is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes Treatment and Management (4 papers). Patricia Botas collaborates with scholars based in Spain, Italy and Japan. Patricia Botas's co-authors include Elías Delgado, Sergio Valdés, José Manuel Fernández‐Real, Wifredo Ricart, Francisco V. Álvarez, Francisco Ortega, José María Moreno‐Navarrete, Abel López‐Bermejo, Tohru Funahashi and Shinji Kihara and has published in prestigious journals such as PLoS ONE, Diabetes Care and Metabolism.

In The Last Decade

Patricia Botas

21 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia Botas Spain 14 265 231 189 162 87 23 684
Manuela Abbate Spain 15 298 1.1× 321 1.4× 238 1.3× 163 1.0× 63 0.7× 28 1.0k
Sung Woo Park South Korea 16 382 1.4× 300 1.3× 144 0.8× 138 0.9× 79 0.9× 36 801
Inka Miñambres Spain 15 318 1.2× 91 0.4× 152 0.8× 93 0.6× 75 0.9× 48 687
Mustafa Altay Türkiye 15 277 1.0× 92 0.4× 97 0.5× 106 0.7× 62 0.7× 78 710
E Cacès France 15 294 1.1× 171 0.7× 97 0.5× 109 0.7× 118 1.4× 25 900
Daniela Liccardo Italy 15 271 1.0× 482 2.1× 142 0.8× 62 0.4× 83 1.0× 43 772
Dagmar Horáková Czechia 12 232 0.9× 209 0.9× 154 0.8× 189 1.2× 35 0.4× 52 741
Mi Hae Seo South Korea 14 164 0.6× 166 0.7× 181 1.0× 117 0.7× 38 0.4× 31 636
Maria Masulli Italy 17 337 1.3× 197 0.9× 188 1.0× 115 0.7× 31 0.4× 42 797
Mehmet Uzunlulu Türkiye 13 215 0.8× 138 0.6× 107 0.6× 109 0.7× 32 0.4× 46 610

Countries citing papers authored by Patricia Botas

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Botas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Botas

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Botas. A scholar is included among the top collaborators of Patricia Botas 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 Patricia Botas. Patricia Botas 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.
Valdés, Sergio, Patricia Botas, Cecilia Sánchez-Ragnarsson, et al.. (2019). Mortality risk in adults according to categories of impaired glucose metabolism after 18 years of follow-up in the North of Spain: The Asturias Study. PLoS ONE. 14(1). e0211070–e0211070. 13 indexed citations
2.
Hernández, S., et al.. (2019). Diferencias de género en la mortalidad de personas con diabetes tipo 2: Estudio Asturias 2018. Gaceta Sanitaria. 34(5). 442–448. 7 indexed citations
3.
Moreno, María, José María Moreno‐Navarrete, Marta Serrano, et al.. (2015). Circulating Irisin Levels Are Positively Associated with Metabolic Risk Factors in Sedentary Subjects. PLoS ONE. 10(4). e0124100–e0124100. 70 indexed citations
4.
Pueyo, Neus, Francisco Ortega, Josep M. Mercader, et al.. (2013). Common Genetic Variants of Surfactant Protein-D (SP-D) Are Associated with Type 2 Diabetes. PLoS ONE. 8(4). e60468–e60468. 13 indexed citations
5.
Ortega, Francisco, Mònica Sabater, José María Moreno‐Navarrete, et al.. (2012). Serum and urinary concentrations of calprotectin as markers of insulin resistance and type 2 diabetes. European Journal of Endocrinology. 167(4). 569–578. 55 indexed citations
6.
Ortega, Francisco, Josep M. Mercader, José María Moreno‐Navarrete, et al.. (2012). Targeting the association of calgranulin B (S100A9) with insulin resistance and type 2 diabetes. Journal of Molecular Medicine. 91(4). 523–534. 15 indexed citations
7.
Soriguer, Federico, Gemma Rojo‐Martínez, Sergio Valdés, et al.. (2012). Factors determining weight gain in adults and relation with glucose tolerance. Clinical Endocrinology. 78(6). 858–864. 3 indexed citations
8.
Torre, Edelmiro Menéndez, et al.. (2011). Tolerancia a la glucosa y concentraciones plasmáticas de testosterona en varones. Resultados del Estudio Asturias. Endocrinología y Nutrición. 58(1). 3–8. 4 indexed citations
9.
Valdés, Sergio, et al.. (2010). HbA1c in the prediction of type 2 diabetes compared with fasting and 2-h post-challenge plasma glucose: The Asturias study (1998–2005). Diabetes & Metabolism. 37(1). 27–32. 26 indexed citations
10.
González-Molero, Inmaculada, Sonsoles Morcillo, Sergio Valdés, et al.. (2010). Vitamin D deficiency in Spain: a population-based cohort study. European Journal of Clinical Nutrition. 65(3). 321–328. 88 indexed citations
11.
Moreno‐Navarrete, José María, Patricia Botas, Sergio Valdés, et al.. (2009). Val1483Ile in FASN Gene Is Linked to Central Obesity and Insulin Sensitivity in Adult White Men. Obesity. 17(9). 1755–1761. 15 indexed citations
12.
Valdés, Sergio, et al.. (2009). Mortality Risk in Spanish Adults With Diagnosed Diabetes, Undiagnosed Diabetes, or Pre-Diabetes. The Asturias Study 1998-2004. Revista Española de Cardiología (English Edition). 62(5). 528–534. 26 indexed citations
13.
Bassols, Judit, Patricia Botas, José María Moreno‐Navarrete, et al.. (2009). Environmental and Genetic Factors Influence the Relationship Between Circulating IL‐10 and Obesity Phenotypes. Obesity. 18(3). 611–618. 17 indexed citations
14.
Valdés, Sergio, et al.. (2009). Riesgo de mortalidad en diabetes diagnosticada, diabetes no diagnosticada y prediabetes en población adulta española. Estudio Asturias 1998-2004. Revista Española de Cardiología. 62(5). 528–534. 30 indexed citations
15.
16.
Valdés, Sergio, et al.. (2007). Population-Based Incidence of Type 2 Diabetes in Northern Spain. Diabetes Care. 30(9). 2258–2263. 103 indexed citations
17.
Esteve, Eduardo, Patricia Botas, Elías Delgado, et al.. (2007). Soluble TNF-α receptor 2 produced by alternative splicing is paradoxically associated with markers of liver injury. Clinical Immunology. 123(1). 89–94. 6 indexed citations
18.
Delgado, Elías & Patricia Botas. (2005). Feocromocitoma. Endocrinología y Nutrición. 52(6). 309–320.
19.
López‐Bermejo, Abel, Patricia Botas, Tohru Funahashi, et al.. (2004). Adiponectin, hepatocellular dysfunction and insulin sensitivity. Clinical Endocrinology. 60(2). 256–263. 98 indexed citations
20.

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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