Àngels Sierra

3.3k total citations
91 papers, 2.6k citations indexed

About

Àngels Sierra is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology. According to data from OpenAlex, Àngels Sierra has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 26 papers in Cardiology and Cardiovascular Medicine and 21 papers in Oncology. Recurrent topics in Àngels Sierra's work include Blood Pressure and Hypertension Studies (22 papers), Cell death mechanisms and regulation (11 papers) and Cancer-related Molecular Pathways (10 papers). Àngels Sierra is often cited by papers focused on Blood Pressure and Hypertension Studies (22 papers), Cell death mechanisms and regulation (11 papers) and Cancer-related Molecular Pathways (10 papers). Àngels Sierra collaborates with scholars based in Spain, France and Italy. Àngels Sierra's co-authors include Àngels Fabra, Ana De Juan, José C. Segovia, José Manuel López-Vega, José L. Fernández-Luna, Pedro J. Real, Claudia Nieva, Mónica Marro, António Coca and Anna Oliveras and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Àngels Sierra

88 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Àngels Sierra Spain 29 1.2k 777 398 363 297 91 2.6k
Clara E. Magyar United States 29 1.5k 1.2× 380 0.5× 296 0.7× 181 0.5× 404 1.4× 66 2.5k
Dale G. Hoyt United States 25 906 0.8× 717 0.9× 159 0.4× 140 0.4× 319 1.1× 46 2.3k
Britta Walker Germany 15 1.1k 1.0× 386 0.5× 171 0.4× 433 1.2× 276 0.9× 21 2.7k
Stuart Gallagher Australia 26 1.3k 1.1× 688 0.9× 233 0.6× 942 2.6× 271 0.9× 51 3.2k
Hiromichi Hemmi Japan 26 1.0k 0.9× 475 0.6× 585 1.5× 275 0.8× 99 0.3× 80 2.2k
Graham P. Pidgeon Ireland 29 1.0k 0.9× 635 0.8× 656 1.6× 142 0.4× 390 1.3× 65 2.7k
Beverly Lyn‐Cook United States 28 1.3k 1.1× 415 0.5× 285 0.7× 196 0.5× 127 0.4× 84 2.4k
Dipak Panigrahy United States 26 2.4k 2.1× 772 1.0× 1.4k 3.6× 227 0.6× 349 1.2× 45 4.5k
Ayesha N. Shajahan‐Haq United States 31 1.6k 1.3× 565 0.7× 529 1.3× 192 0.5× 321 1.1× 70 2.9k
Prakash G. Jagtap United States 19 2.9k 2.5× 1.7k 2.1× 402 1.0× 288 0.8× 255 0.9× 41 5.0k

Countries citing papers authored by Àngels Sierra

Since Specialization
Citations

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

Fields of papers citing papers by Àngels Sierra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Àngels Sierra

This figure shows the co-authorship network connecting the top 25 collaborators of Àngels Sierra. A scholar is included among the top collaborators of Àngels Sierra 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 Àngels Sierra. Àngels Sierra 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.
Hernández, Vanessa, Marco A. Calzado, Consuelo Gajate, et al.. (2024). Suppression of metastatic organ colonization and antiangiogenic activity of the orally bioavailable lipid raft-targeted alkylphospholipid edelfosine. Biomedicine & Pharmacotherapy. 171. 116149–116149. 4 indexed citations
2.
Pedrosa, Leire, Carmen Bedia, Abel Ferrés, et al.. (2023). Preclinical Studies with Glioblastoma Brain Organoid Co-Cultures Show Efficient 5-ALA Photodynamic Therapy. Cells. 12(8). 1125–1125. 15 indexed citations
3.
Pedrosa, Leire, Immaculada Martínez‐Rovira, Ibraheem Yousef, et al.. (2021). Synchrotron-Based Fourier-Transform Infrared Micro-Spectroscopy (SR-FTIRM) Fingerprint of the Small Anionic Molecule Cobaltabis(dicarbollide) Uptake in Glioma Stem Cells. International Journal of Molecular Sciences. 22(18). 9937–9937. 16 indexed citations
4.
Defaus, Sira, et al.. (2021). Evaluation of Computationally Designed Peptides against TWEAK, a Cytokine of the Tumour Necrosis Factor Ligand Family. International Journal of Molecular Sciences. 22(3). 1066–1066. 4 indexed citations
5.
Bedia, Carmen, Àngels Sierra, & Romá Tauler. (2020). Application of chemometric methods to the analysis of multimodal chemical images of biological tissues. Analytical and Bioanalytical Chemistry. 412(21). 5179–5190. 12 indexed citations
6.
Lacasa, J, José Domínguez, Irene Latorre, et al.. (2013). Estudio comparativo entre la prueba de la Tuberculina, el Quantiferon ®-TB Gold y el T SPOT-TB ® en el diagnóstico de la infección tuberculosa latente en pacientes infectados por el VIH. 1(1). 62–63.
7.
Santana-Codina, Naiara, Rafael Carretero, Rebeca Sanz‐Pamplona, et al.. (2013). A Transcriptome-proteome Integrated Network Identifies Endoplasmic Reticulum thiol oxidoreductase (ERp57) as a Hub that Mediates Bone Metastasis. Molecular & Cellular Proteomics. 12(8). 2111–2125. 33 indexed citations
8.
Sanz‐Pamplona, Rebeca, Javier Garcı́a-Garcı́a, Xavier Messeguer, et al.. (2012). A taxonomy of organ-specific breast cancer metastases based on a protein–protein interaction network. Molecular BioSystems. 8(8). 2085–2096. 11 indexed citations
9.
Nieva, Claudia, Mónica Marro, Naiara Santana-Codina, et al.. (2012). The Lipid Phenotype of Breast Cancer Cells Characterized by Raman Microspectroscopy: Towards a Stratification of Malignancy. PLoS ONE. 7(10). e46456–e46456. 109 indexed citations
10.
Sierra, Àngels. (2011). Prevención de la progresión y regresión de la lesión orgánica. Estrategias de futuro. Revista Clínica Española. 211. 8–14. 2 indexed citations
11.
Sierra, Àngels. (2009). Animal models of breast cancer for the study of pathogenesis and therapeutic insights. Clinical & Translational Oncology. 11(11). 721–726. 6 indexed citations
12.
Jackson, Amanda, Akeila Bellahcène, Nadia Rucci, et al.. (2008). A Six-Gene Signature Predicting Breast Cancer Lung Metastasis. Cancer Research. 68(15). 6092–6099. 121 indexed citations
13.
Sierra, Àngels. (2005). Metastases and their microenvironments: linking pathogenesis and therapy. Drug Resistance Updates. 8(4). 247–257. 30 indexed citations
14.
Martín, Berta, Ramón Aragüés, Cristina Chiva, et al.. (2005). Bcl-xL-Mediated Changes in Metabolic Pathways of Breast Cancer Cells. American Journal Of Pathology. 167(4). 1125–1137. 28 indexed citations
15.
16.
Sierra, Àngels & Ernesto Bragulat. (2001). Hipertensión arterial y riesgo cardiovascular. Medicina integral: Medicina preventiva y asistencial en atención primaria de la salud. 37(5). 197–202. 2 indexed citations
17.
Lloveras, B., António Figueras, A. Escobedo, et al.. (1997). Ductal carcinoma in situ of the breast: correlation between histologic classifications and biologic markers.. PubMed. 10(11). 1088–92. 43 indexed citations
18.
19.
Sierra, Àngels, Xavier Castellsagué, Silvia Tórtola, et al.. (1996). Apoptosis loss and bcl-2 expression: key determinants of lymph node metastases in T1 breast cancer.. PubMed. 2(11). 1887–94. 29 indexed citations
20.
Cabrera, Teresa, María Angustias Parejo Fernández, Àngels Sierra, et al.. (1996). High frequency of altered HLA class I phenotypes in invasive breast carcinomas. Human Immunology. 50(2). 127–134. 107 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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