Alejandra Bruna

8.9k total citations
27 papers, 1.5k citations indexed

About

Alejandra Bruna is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Alejandra Bruna has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Molecular Biology and 10 papers in Cancer Research. Recurrent topics in Alejandra Bruna's work include Cancer Cells and Metastasis (9 papers), Cancer Genomics and Diagnostics (6 papers) and TGF-β signaling in diseases (4 papers). Alejandra Bruna is often cited by papers focused on Cancer Cells and Metastasis (9 papers), Cancer Genomics and Diagnostics (6 papers) and TGF-β signaling in diseases (4 papers). Alejandra Bruna collaborates with scholars based in United Kingdom, Spain and United States. Alejandra Bruna's co-authors include Carlos Caldas, John W. Cassidy, Oscar M. Rueda, José Baselga, Federico Rojo, Rachel S. Darken, Jaume Mora, Raquel Parı́s, Joan Seoane and Silvia Peñuelas and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Alejandra Bruna

26 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alejandra Bruna United Kingdom 18 943 587 433 159 148 27 1.5k
Chirayu Goswami United States 25 1.1k 1.2× 443 0.8× 572 1.3× 161 1.0× 109 0.7× 44 1.8k
Diego M. Marzese United States 25 1.2k 1.2× 507 0.9× 608 1.4× 203 1.3× 189 1.3× 75 1.7k
Felix Zeppernick Germany 17 609 0.6× 691 1.2× 384 0.9× 168 1.1× 290 2.0× 40 1.6k
Pinaki Bose Canada 20 1.0k 1.1× 728 1.2× 357 0.8× 354 2.2× 101 0.7× 42 1.8k
Yongping Crawford United States 14 1.1k 1.2× 581 1.0× 450 1.0× 157 1.0× 54 0.4× 16 1.5k
Dirk Kemming Germany 15 683 0.7× 423 0.7× 504 1.2× 134 0.8× 312 2.1× 22 1.3k
Landon J. Inge United States 21 1.1k 1.1× 433 0.7× 307 0.7× 115 0.7× 153 1.0× 41 1.7k
Constadina Arvanitis United States 11 1.3k 1.4× 637 1.1× 422 1.0× 144 0.9× 92 0.6× 21 1.9k
Katrin E. Tagscherer Germany 22 897 1.0× 564 1.0× 368 0.8× 181 1.1× 151 1.0× 46 1.5k
Karina J. Yoon United States 18 777 0.8× 409 0.7× 168 0.4× 128 0.8× 110 0.7× 48 1.1k

Countries citing papers authored by Alejandra Bruna

Since Specialization
Citations

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

Fields of papers citing papers by Alejandra Bruna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alejandra Bruna

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandra Bruna. A scholar is included among the top collaborators of Alejandra Bruna 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 Alejandra Bruna. Alejandra Bruna 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.
Nguyen, Long, Suet‐Feung Chin, Stephen‐John Sammut, et al.. (2025). Fitness and transcriptional plasticity of human breast cancer single-cell-derived clones. Cell Reports. 44(5). 115699–115699.
2.
Cannell, Ian G., Kirsty Sawicka, Isabella Pearsall, et al.. (2023). FOXC2 promotes vasculogenic mimicry and resistance to anti-angiogenic therapy. Cell Reports. 42(8). 112791–112791. 22 indexed citations
3.
Dinami, Roberto, Luca Pompili, Eleonora Petti, et al.. (2022). MiR ‐182‐3p targets TRF2 and impairs tumor growth of triple‐negative breast cancer. EMBO Molecular Medicine. 15(1). e16033–e16033. 34 indexed citations
4.
Bruna, Alejandra, et al.. (2022). Wnt Signaling in the Breast: From Development to Disease. Frontiers in Cell and Developmental Biology. 10. 884467–884467. 17 indexed citations
5.
Naulaerts, Stefan, et al.. (2021). Predicting Cancer Drug Response In Vivo by Learning an Optimal Feature Selection of Tumour Molecular Profiles. Biomedicines. 9(10). 1319–1319. 20 indexed citations
6.
Tognetti, Marco, Attila Gábor, Mi Yang, et al.. (2021). Deciphering the signaling network of breast cancer improves drug sensitivity prediction. Cell Systems. 12(5). 401–418.e12. 27 indexed citations
7.
R�os, Susana, Alan J. Wright, Alejandra Bruna, Carlos Caldas, & Kevin M. Brindle. (2021). Metabolic imaging with hyperpolarized [1-13C] pyruvate in patient-derived preclinical mouse models of breast cancer. STAR Protocols. 2(3). 100608–100608. 3 indexed citations
8.
Hänsel‐Hertsch, Robert, Angela Simeone, Abigail Shea, et al.. (2020). Landscape of G-quadruplex DNA structural regions in breast cancer. Nature Genetics. 52(9). 878–883. 142 indexed citations
9.
Avanzato, Daniele, Emanuela Pupo, Claudio Isella, et al.. (2018). High USP6NL Levels in Breast Cancer Sustain Chronic AKT Phosphorylation and GLUT1 Stability Fueling Aerobic Glycolysis. Cancer Research. 78(13). 3432–3444. 61 indexed citations
10.
Callari, Maurizio, Ankita Sati Batra, R.N. Batra, et al.. (2018). Computational approach to discriminate human and mouse sequences in patient-derived tumour xenografts. BMC Genomics. 19(1). 19–19. 32 indexed citations
11.
Zheng, Xue, Daniël J. Vis, Alejandra Bruna, et al.. (2018). MAP3K1 and MAP2K4 mutations are associated with sensitivity to MEK inhibitors in multiple cancer models. Cell Research. 28(7). 719–729. 81 indexed citations
12.
Vervoort, Stephin J., Ana Rita Lourenço, Ana Tufegdžić Vidaković, et al.. (2018). SOX4 can redirect TGF-β-mediated SMAD3-transcriptional output in a context-dependent manner to promote tumorigenesis. Nucleic Acids Research. 46(18). 9578–9590. 41 indexed citations
13.
Callari, Maurizio, Stephen‐John Sammut, Leticia De Mattos‐Arruda, et al.. (2017). Intersect-then-combine approach: improving the performance of somatic variant calling in whole exome sequencing data using multiple aligners and callers. Genome Medicine. 9(1). 35–35. 30 indexed citations
14.
Cassidy, John W., Ankita Sati Batra, Wendy Greenwood, & Alejandra Bruna. (2016). Patient-derived tumour xenografts for breast cancer drug discovery. Endocrine Related Cancer. 23(12). T259–T270. 9 indexed citations
15.
Bruna, Alejandra, Oscar M. Rueda, & Carlos Caldas. (2016). Modeling Breast Cancer Intertumor and Intratumor Heterogeneity Using Xenografts. Cold Spring Harbor Symposia on Quantitative Biology. 81. 227–230. 6 indexed citations
16.
Vidaković, Ana Tufegdžić, Oscar M. Rueda, Stephin J. Vervoort, et al.. (2015). Context-Specific Effects of TGF-β/SMAD3 in Cancer Are Modulated by the Epigenome. Cell Reports. 13(11). 2480–2490. 35 indexed citations
17.
Bruna, Alejandra, Wendy Greenwood, John Le Quesne, et al.. (2012). TGFβ induces the formation of tumour-initiating cells in claudinlow breast cancer. Nature Communications. 3(1). 1055–1055. 82 indexed citations
18.
Bruna, Alejandra. (2003). Glucocorticoid receptor-JNK interaction mediates inhibition of the JNK pathway by glucocorticoids. The EMBO Journal. 22(22). 6035–6044. 101 indexed citations
19.
Verdaguer, Ester, Anna M. Canudas, Andrés Jiménez, et al.. (2003). Neuroprotective action of flavopiridol, a cyclin-dependent kinase inhibitor, in colchicine-induced apoptosis. Neuropharmacology. 45(5). 672–683. 36 indexed citations
20.
Caelles, Carmé, Alejandra Bruna, Mónica Morales, et al.. (2002). Glucocorticoid Receptor Antagonism of AP-1 Activity by Inhibition of MAPK Family. PubMed. 131–152. 6 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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