Sonia Dapía

904 total citations
11 papers, 747 citations indexed

About

Sonia Dapía is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Oncology. According to data from OpenAlex, Sonia Dapía has authored 11 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Orthopedics and Sports Medicine and 5 papers in Oncology. Recurrent topics in Sonia Dapía's work include Bone health and osteoporosis research (7 papers), Bone Metabolism and Diseases (7 papers) and Bone health and treatments (5 papers). Sonia Dapía is often cited by papers focused on Bone health and osteoporosis research (7 papers), Bone Metabolism and Diseases (7 papers) and Bone health and treatments (5 papers). Sonia Dapía collaborates with scholars based in Spain and Germany. Sonia Dapía's co-authors include Pedro Esbrit, José Ramón Caeiro, Paola Moreno, María Luisa Villanueva‐Peñacarrillo, Bernardo Nuche‐Berenguer, Sergio Portal‐Núñez, Enrique Gómez‐Barrena, Daniel Lozano, Emílio Calvo and Jorge A. Roman‐Blas and has published in prestigious journals such as Biomaterials, Endocrinology and British Journal of Pharmacology.

In The Last Decade

Sonia Dapía

11 papers receiving 735 citations

Peers

Sonia Dapía
Marijke Koedam Netherlands
F. van der Ham Netherlands
W.R. Holloway Australia
Dun Hong China
Qinghe Zeng United States
Marijke Koedam Netherlands
Sonia Dapía
Citations per year, relative to Sonia Dapía Sonia Dapía (= 1×) peers Marijke Koedam

Countries citing papers authored by Sonia Dapía

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Dapía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Dapía

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

All Works

11 of 11 papers shown
1.
Flórez, Gerardo, et al.. (2014). Predictors of Posttreatment Drinking Outcomes in Patients with Alcohol Dependence. European Addiction Research. 21(1). 19–30. 11 indexed citations
2.
Roman‐Blas, Jorge A., Santos Castañeda, José Ramón Caeiro, et al.. (2010). Subchondral bone microstructural damage by increased remodelling aggravates experimental osteoarthritis preceded by osteoporosis. Arthritis Research & Therapy. 12(4). R152–R152. 187 indexed citations
3.
Piedra, Concepción de la, Mayte Montero, Sonia Dapía, et al.. (2010). Daily or monthly ibandronate prevents or restores deteriorations of bone mass, architecture, biomechanical properties and markers of bone turnover in androgen-deficient aged rats. The Aging Male. 14(4). 220–230. 5 indexed citations
4.
Lozano, Daniel, Miguel Manzano, A. Doadrio, et al.. (2010). The osteoinductive properties of mesoporous silicate coated with osteostatin in a rabbit femur cavity defect model. Biomaterials. 31(33). 8564–8573. 83 indexed citations
5.
Lozano, Daniel, Sergio Portal‐Núñez, Ana López‐Herradón, et al.. (2010). The C‐terminal fragment of parathyroid hormone‐related peptide promotes bone formation in diabetic mice with low‐turnover osteopaenia. British Journal of Pharmacology. 162(6). 1424–1438. 41 indexed citations
6.
Castro, Luis F de, Daniel Lozano, Sonia Dapía, et al.. (2009). Role of the N- and C-terminal Fragments of Parathyroid-Hormone-Related Protein as Putative Therapies to Improve Bone Regeneration Under High Glucocorticoid Treatment. Tissue Engineering Part A. 16(4). 1157–1168. 30 indexed citations
7.
Nuche‐Berenguer, Bernardo, Paola Moreno, Pedro Esbrit, et al.. (2009). Effect of GLP-1 Treatment on Bone Turnover in Normal, Type 2 Diabetic, and Insulin-Resistant States. Calcified Tissue International. 84(6). 453–461. 165 indexed citations
8.
Nuche‐Berenguer, Bernardo, Paola Moreno, Sergio Portal‐Núñez, et al.. (2009). Exendin-4 exerts osteogenic actions in insulin-resistant and type 2 diabetic states. Regulatory Peptides. 159(1-3). 61–66. 119 indexed citations
9.
Montero, Mayte, Díaz Curiel M, Sonia Dapía, José Ramón Caeiro, & Concepción de la Piedra. (2009). Kalsis, a food supplement, decreases the ovariectomy-induced osteopenia in rats. Bone. 44. S437–S438. 2 indexed citations
10.
Lozano, Daniel, Luis F de Castro, Sonia Dapía, et al.. (2009). Role of Parathyroid Hormone-Related Protein in the Decreased Osteoblast Function in Diabetes-Related Osteopenia. Endocrinology. 150(5). 2027–2035. 66 indexed citations
11.
Cano, Antonio, Sonia Dapía, Inmaculada Noguera, et al.. (2007). Comparative effects of 17β-estradiol, raloxifene and genistein on bone 3D microarchitecture and volumetric bone mineral density in the ovariectomized mice. Osteoporosis International. 19(6). 793–800. 38 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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