Ana Luísa Silva

972 total citations
28 papers, 743 citations indexed

About

Ana Luísa Silva is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, Ana Luísa Silva has authored 28 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Oncology. Recurrent topics in Ana Luísa Silva's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers) and Thyroid Cancer Diagnosis and Treatment (9 papers). Ana Luísa Silva is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers) and Thyroid Cancer Diagnosis and Treatment (9 papers). Ana Luísa Silva collaborates with scholars based in Portugal, United States and Brazil. Ana Luísa Silva's co-authors include Luı́sa Romão, Stephen A. Liebhaber, Ângela Inácio, Isabel Peixeiro, Maria João Bugalho, Paula Faustino, Catarina Barbosa, Paulo Matos, José Luís Passos‐Coelho and Xinjun Ji and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ana Luísa Silva

26 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana Luísa Silva Portugal 13 563 104 96 59 56 28 743
Cécile Pierre‐Eugène France 11 267 0.5× 99 1.0× 82 0.9× 29 0.5× 42 0.8× 17 427
Martha Noel United States 6 416 0.7× 187 1.8× 156 1.6× 46 0.8× 120 2.1× 17 681
Federica Parodi Italy 12 330 0.6× 164 1.6× 120 1.3× 24 0.4× 78 1.4× 21 566
Priyanka Tibarewal United Kingdom 7 425 0.8× 71 0.7× 72 0.8× 23 0.4× 35 0.6× 11 486
Madlaina Breuleux Switzerland 8 323 0.6× 66 0.6× 154 1.6× 20 0.3× 50 0.9× 13 486
Candida Zuchegna Italy 12 422 0.7× 135 1.3× 94 1.0× 21 0.4× 20 0.4× 20 737
Peterson Pathrose United States 14 399 0.7× 97 0.9× 173 1.8× 38 0.6× 16 0.3× 20 660
Nina Korsisaari Finland 7 382 0.7× 126 1.2× 155 1.6× 33 0.6× 21 0.4× 8 556
Jengmin Kang South Korea 12 307 0.5× 126 1.2× 56 0.6× 37 0.6× 18 0.3× 17 450
Crystal M. Weyman United States 15 506 0.9× 175 1.7× 84 0.9× 18 0.3× 30 0.5× 26 658

Countries citing papers authored by Ana Luísa Silva

Since Specialization
Citations

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

Fields of papers citing papers by Ana Luísa Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana Luísa Silva. 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 Ana Luísa Silva. The network helps show where Ana Luísa Silva may publish in the future.

Co-authorship network of co-authors of Ana Luísa Silva

This figure shows the co-authorship network connecting the top 25 collaborators of Ana Luísa Silva. A scholar is included among the top collaborators of Ana Luísa Silva 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 Ana Luísa Silva. Ana Luísa Silva 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.
Roque, Lúcia, Ana Luísa Silva, Hugo Nunes, et al.. (2025). A novel patient-derived cutaneous melanoma cell line reveals key features of metastatic melanoma. Frontiers in Oncology. 15. 1531013–1531013.
2.
Silva, Ana Luísa, Sayka Barry, Paulo Matos, et al.. (2025). CCL2 expression predicts clinical outcomes and regulates E-cadherin and angiogenesis in pituitary tumours. Endocrine Related Cancer. 32(5). 1 indexed citations
3.
Silva, Ana Luísa, et al.. (2024). Therapeutical Usefulness of PD-1/PD-L1 Inhibitors in Aggressive or Metastatic Pituitary Tumours. Cancers. 16(17). 3033–3033. 3 indexed citations
4.
Domingues, Rita, et al.. (2021). MAPK Inhibition Requires Active RAC1 Signaling to Effectively Improve Iodide Uptake by Thyroid Follicular Cells. Cancers. 13(22). 5861–5861. 3 indexed citations
6.
Silva, Ana Luísa, et al.. (2021). Fabry Disease: A Atypical Presentation. Cureus. 13(10). e18708–e18708. 3 indexed citations
7.
Domingues, Rita, et al.. (2020). TNFα-mediated activation of NF-κB downregulates sodium-iodide symporter expression in thyroid cells. PLoS ONE. 15(2). e0228794–e0228794. 12 indexed citations
8.
Silva, Ana Luísa, et al.. (2020). Inflammatory Microenvironment Modulation of Alternative Splicing in Cancer: A Way to Adapt. Advances in experimental medicine and biology. 1219. 243–258. 14 indexed citations
9.
Matos, Paulo, Teresa Pereira, Rafael Cabrera, et al.. (2017). RAC1b overexpression stimulates proliferation and NF-kB-mediated anti-apoptotic signaling in thyroid cancer cells. PLoS ONE. 12(2). e0172689–e0172689. 26 indexed citations
10.
Teixeira, Alexandre, Jian Kong, Cristina Barbosa, et al.. (2015). Resistance of mRNAs with AUG-proximal nonsense mutations to nonsense-mediated decay reflects variables of mRNA structure and translational activity. Nucleic Acids Research. 43(13). 6528–6544. 31 indexed citations
11.
Silva, Ana Luísa, Margarida M. Moura, Rita Domingues, et al.. (2015). Identification and characterization of two novel germline RET variants associated with medullary thyroid carcinoma. Endocrine. 49(2). 366–372. 7 indexed citations
12.
Silva, Ana Luísa, et al.. (2013). RAC1b overexpression in papillary thyroid carcinoma: a role to unravel. European Journal of Endocrinology. 168(6). 795–804. 31 indexed citations
13.
Martins, Rute, Bruno Silva, Cristina Barbosa, et al.. (2012). Alternative Polyadenylation and Nonsense-Mediated Decay Coordinately Regulate the Human HFE mRNA Levels. PLoS ONE. 7(4). e35461–e35461. 12 indexed citations
14.
Espadinha, Carla, Ana Luísa Silva, Rafael Cabrera, & Maria João Bugalho. (2012). Molecular Analysis ofTTF-1andTTF-2Genes in Patients with Early Onset Papillary Thyroid Carcinoma. Journal of Oncology. 2012. 1–6. 1 indexed citations
15.
Peixeiro, Isabel, Ângela Inácio, Catarina Barbosa, et al.. (2011). Interaction of PABPC1 with the translation initiation complex is critical to the NMD resistance of AUG-proximal nonsense mutations. Nucleic Acids Research. 40(3). 1160–1173. 81 indexed citations
16.
Silva, Ana Luísa & Luı́sa Romão. (2009). The mammalian nonsense‐mediated mRNA decay pathway: To decay or not to decay! Which players make the decision?. FEBS Letters. 583(3). 499–505. 107 indexed citations
17.
Silva, Ana Luísa, et al.. (2008). Proximity of the poly(A)-binding protein to a premature termination codon inhibits mammalian nonsense-mediated mRNA decay. RNA. 14(3). 563–576. 120 indexed citations
18.
Silva, Ana Luísa, Jian Kong, Rute Martins, et al.. (2006). The canonical UPF1-dependent nonsense-mediated mRNA decay is inhibited in transcripts carrying a short open reading frame independent of sequence context. RNA. 12(12). 2160–2170. 37 indexed citations
19.
Silva, Ana Luísa, et al.. (2002). Human mammaglobin RT-PCR assay for detection of occult breast cancer cells in hematopoietic products. Annals of Oncology. 13(3). 422–429. 40 indexed citations
20.
Silva, Ana Luísa, et al.. (2001). Cytokeratin 20 is not a reliable molecular marker for occult breast cancer cell detection in hematological tissues. Breast Cancer Research and Treatment. 66(1). 59–66. 16 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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