Gemma Villuendas

1.3k total citations
17 papers, 1.0k citations indexed

About

Gemma Villuendas is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gemma Villuendas has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gemma Villuendas's work include Ovarian function and disorders (6 papers), Lipid metabolism and disorders (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Gemma Villuendas is often cited by papers focused on Ovarian function and disorders (6 papers), Lipid metabolism and disorders (5 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Gemma Villuendas collaborates with scholars based in Spain. Gemma Villuendas's co-authors include Héctor F. Escobar‐Morreale, José L. San Millán, José Sancho, José I. Botella‐Carretero, Belén Peral, Marta Cortón, Rosa Calvo, J L San Millán, J. Sancho and Alberto Benguría and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Brain Research and Diabetologia.

In The Last Decade

Gemma Villuendas

17 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Villuendas Spain 14 607 319 219 204 201 17 1.0k
Angélica Morales Mexico 15 77 0.1× 79 0.2× 86 0.4× 89 0.4× 221 1.1× 25 756
David Aguilar-Recarte Spain 17 98 0.2× 49 0.2× 67 0.3× 124 0.6× 277 1.4× 23 693
Andrew Whatmore United Kingdom 20 86 0.1× 74 0.2× 86 0.4× 150 0.7× 278 1.4× 51 1.1k
Almorris Lynch United States 16 210 0.3× 81 0.3× 52 0.2× 43 0.2× 190 0.9× 17 815
Dianne Deplewski United States 12 137 0.2× 123 0.4× 15 0.1× 110 0.5× 457 2.3× 23 1.2k
Jacobie Steenbergen Netherlands 19 63 0.1× 56 0.2× 83 0.4× 110 0.5× 246 1.2× 31 927
Masaaki Hasegawa Japan 15 50 0.1× 57 0.2× 131 0.6× 64 0.3× 198 1.0× 40 592
Yu Ding China 17 148 0.2× 167 0.5× 87 0.4× 46 0.2× 815 4.1× 75 1.1k
Judith Krall United States 12 189 0.3× 320 1.0× 370 1.7× 14 0.1× 755 3.8× 16 1.0k
Martine Géhin Switzerland 13 112 0.2× 33 0.1× 50 0.2× 146 0.7× 452 2.2× 28 1.1k

Countries citing papers authored by Gemma Villuendas

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Villuendas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Villuendas

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

All Works

17 of 17 papers shown
1.
2.
Cortón, Marta, José I. Botella‐Carretero, Alberto Benguría, et al.. (2006). Differential Gene Expression Profile in Omental Adipose Tissue in Women with Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 92(1). 328–337. 148 indexed citations
3.
Villuendas, Gemma, José I. Botella‐Carretero, Abel López‐Bermejo, et al.. (2006). The ACAA-insertion/deletion polymorphism at the 3′ UTR of the IGF-II receptor gene is associated with type 2 diabetes and surrogate markers of insulin resistance. European Journal of Endocrinology. 155(2). 331–336. 14 indexed citations
4.
Esteve, Eduardo, Gemma Villuendas, Judith Mallolas, et al.. (2006). Polymorphisms in the interleukin‐6 receptor gene are associated with body mass index and with characteristics of the metabolic syndrome. Clinical Endocrinology. 65(1). 88–91. 43 indexed citations
5.
6.
Millán, José L. San, Marta Cortón, Gemma Villuendas, et al.. (2004). Association of the Polycystic Ovary Syndrome with Genomic Variants Related to Insulin Resistance, Type 2 Diabetes Mellitus, and Obesity. The Journal of Clinical Endocrinology & Metabolism. 89(6). 2640–2646. 137 indexed citations
7.
Escobar‐Morreale, Héctor F., José I. Botella‐Carretero, Gemma Villuendas, José Sancho, & José L. San Millán. (2004). Serum Interleukin-18 Concentrations Are Increased in the Polycystic Ovary Syndrome: Relationship to Insulin Resistance and to Obesity. The Journal of Clinical Endocrinology & Metabolism. 89(2). 806–811. 159 indexed citations
8.
Cortón, Marta, Gemma Villuendas, José I. Botella‐Carretero, et al.. (2004). Improved resolution of the human adipose tissue proteome at alkaline and wide range pH by the addition of hydroxyethyl disulfide. PROTEOMICS. 4(2). 438–441. 54 indexed citations
9.
10.
Escobar‐Morreale, Héctor F., Rosa Calvo, Gemma Villuendas, José Sancho, & José L. San Millán. (2003). Association of Polymorphisms in the Interleukin 6 Receptor Complex with Obesity and Hyperandrogenism. Obesity Research. 11(8). 987–996. 78 indexed citations
11.
Escobar‐Morreale, Héctor F., Gemma Villuendas, José I. Botella‐Carretero, J. Sancho, & J L San Millán. (2003). Obesity, and not insulin resistance, is the major determinant of serum inflammatory cardiovascular risk markers in pre-menopausal women. Diabetologia. 46(5). 625–633. 111 indexed citations
12.
Villuendas, Gemma, José L. San Millán, José Sancho, & Héctor F. Escobar‐Morreale. (2002). The −597 G→A and −174 G→C Polymorphisms in the Promoter of the IL-6 Gene Are Associated with Hyperandrogenism. The Journal of Clinical Endocrinology & Metabolism. 87(3). 1134–1141. 96 indexed citations
13.
Escobar‐Morreale, Héctor F., Belén Peral, Gemma Villuendas, et al.. (2002). Common single nucleotide polymorphisms in intron 3 of the calpain-10 gene influence hirsutism. Fertility and Sterility. 77(3). 581–587. 30 indexed citations
14.
Calvo, Rosa, Gemma Villuendas, José Sancho, José L. San Millán, & Héctor F. Escobar‐Morreale. (2001). Role of the follistatin gene in women with polycystic ovary syndrome. Fertility and Sterility. 75(5). 1020–1023. 33 indexed citations
15.
Villuendas, Gemma, Franco Sánchez‐Franco, Nuria Palacios, Miriam Fernández, & Lucinda Cacicedo. (2001). Involvement of VIP on BDNF-induced somatostatin gene expression in cultured fetal rat cerebral cortical cells. Molecular Brain Research. 94(1-2). 59–66. 25 indexed citations
16.
Tolón, Rosa M., et al.. (2000). Potassium depolarization-induced cAMP stimulates somatostatin mRNA levels in cultured diencephalic neurons. Brain Research. 868(2). 338–346. 5 indexed citations
17.
Villuendas, Gemma, et al.. (1992). Hongos y alergia. Dialnet (Universidad de la Rioja). 2 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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