Sónia Rocha

15.0k total citations · 1 hit paper
106 papers, 7.0k citations indexed

About

Sónia Rocha is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Sónia Rocha has authored 106 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Cancer Research, 71 papers in Molecular Biology and 21 papers in Oncology. Recurrent topics in Sónia Rocha's work include Cancer, Hypoxia, and Metabolism (59 papers), RNA modifications and cancer (24 papers) and Epigenetics and DNA Methylation (18 papers). Sónia Rocha is often cited by papers focused on Cancer, Hypoxia, and Metabolism (59 papers), RNA modifications and cancer (24 papers) and Epigenetics and DNA Methylation (18 papers). Sónia Rocha collaborates with scholars based in United Kingdom, Portugal and United States. Sónia Rocha's co-authors include Niall S. Kenneth, Neil D. Perkins, Kirsteen J. Campbell, Laura D’Ignazio, Michael Batie, Daniel Bandarra, Sharon Mudie, Andrew Melvin, John Biddlestone and Julianty Frost and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Sónia Rocha

101 papers receiving 6.9k citations

Hit Papers

Regulation of hypoxia-inducible factor-1α by NF-κB 2008 2026 2014 2020 2008 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sónia Rocha United Kingdom 43 4.2k 3.0k 1.3k 1.3k 766 106 7.0k
Weibo Luo United States 37 4.2k 1.0× 3.3k 1.1× 1.1k 0.9× 1.5k 1.2× 568 0.7× 85 7.4k
Xiaojing Liu United States 33 3.9k 0.9× 2.1k 0.7× 1.3k 1.1× 1.7k 1.3× 528 0.7× 97 6.7k
Giovanni Melillo United States 44 4.1k 1.0× 3.3k 1.1× 2.1k 1.6× 1.5k 1.2× 689 0.9× 102 7.9k
Heather R. Christofk United States 35 6.0k 1.4× 4.0k 1.3× 1.1k 0.9× 673 0.5× 586 0.8× 72 8.5k
Sarah‐Maria Fendt Belgium 45 5.4k 1.3× 3.9k 1.3× 1.4k 1.1× 1.7k 1.4× 537 0.7× 95 8.8k
Bart Ghesquière Belgium 41 3.9k 0.9× 1.7k 0.6× 719 0.6× 1.5k 1.1× 651 0.8× 106 6.6k
Luis del Peso Spain 33 4.1k 1.0× 1.8k 0.6× 956 0.8× 1.5k 1.1× 361 0.5× 62 6.1k
Chao Lü United States 40 5.5k 1.3× 3.0k 1.0× 1.0k 0.8× 720 0.6× 399 0.5× 112 8.4k
Jie Zhou China 42 2.9k 0.7× 2.2k 0.7× 784 0.6× 523 0.4× 616 0.8× 104 5.0k
David Bernard France 37 4.9k 1.2× 1.4k 0.4× 1.1k 0.8× 1.2k 0.9× 1.6k 2.1× 115 7.3k

Countries citing papers authored by Sónia Rocha

Since Specialization
Citations

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

Fields of papers citing papers by Sónia Rocha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sónia Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Sónia Rocha. A scholar is included among the top collaborators of Sónia Rocha 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 Sónia Rocha. Sónia Rocha 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.
Batie, Michael, et al.. (2025). NF-κB is a central regulator of hypoxia-induced gene expression. EMBO Reports. 27(2). 416–432.
2.
3.
Li, Chun, et al.. (2024). Autophagy is the main driver of radioresistance of HNSCC cells in mild hypoxia. Journal of Cellular and Molecular Medicine. 28(12). e18482–e18482. 3 indexed citations
4.
Foris, Vasile, Slaven Crnković, Andrea Olschewski, et al.. (2023). Endotyping COPD: hypoxia-inducible factor-2 as a molecular “switch” between the vascular and airway phenotypes?. European Respiratory Review. 32(167). 220173–220173. 16 indexed citations
5.
Fok, Matthew, et al.. (2023). The role of autophagy in hypoxia-induced radioresistance. Radiotherapy and Oncology. 189. 109951–109951. 13 indexed citations
6.
Batie, Michael, Julianty Frost, Mark Frost, et al.. (2019). Hypoxia induces rapid changes to histone methylation and reprograms chromatin. Science. 363(6432). 1222–1226. 273 indexed citations
7.
Biddlestone, John, Michael Batie, Daniel Bandarra, Iván Muñoz, & Sónia Rocha. (2018). SINHCAF/FAM60A and SIN3A specifically repress HIF-2α expression. Biochemical Journal. 475(12). 2073–2090. 12 indexed citations
8.
Frost, Julianty, Carles Galdeano, Pedro Soares, et al.. (2016). Potent and selective chemical probe of hypoxic signalling downstream of HIF-α hydroxylation via VHL inhibition. Nature Communications. 7(1). 13312–13312. 178 indexed citations
9.
Wiechens, Nicola, et al.. (2016). The Chromatin Remodelling Enzymes SNF2H and SNF2L Position Nucleosomes adjacent to CTCF and Other Transcription Factors. PLoS Genetics. 12(3). e1005940–e1005940. 88 indexed citations
10.
Moniz, Sónia, Daniel Bandarra, John Biddlestone, et al.. (2015). Cezanne regulates E2F1-dependent HIF2α expression. Journal of Cell Science. 128(16). 3082–93. 54 indexed citations
11.
Muñoz, Iván, Thomas Macartney, Luis Sánchez‐Pulido, et al.. (2012). Family with Sequence Similarity 60A (FAM60A) Protein Is a Cell Cycle-fluctuating Regulator of the SIN3-HDAC1 Histone Deacetylase Complex. Journal of Biological Chemistry. 287(39). 32346–32353. 31 indexed citations
12.
Näthke, Inke & Sónia Rocha. (2011). Antagonistic crosstalk between APC and HIF-1α. Cell Cycle. 10(10). 1545–1547. 14 indexed citations
13.
Kenneth, Niall S., et al.. (2011). Evolutionary Conserved Regulation of HIF-1β by NF-κB. PLoS Genetics. 7(1). e1001285–e1001285. 126 indexed citations
14.
Newton, Ian P., Niall S. Kenneth, Paul L. Appleton, Inke Näthke, & Sónia Rocha. (2010). Adenomatous Polyposis Coli and Hypoxia-inducible Factor-1α Have an Antagonistic Connection. Molecular Biology of the Cell. 21(21). 3630–3638. 43 indexed citations
15.
Fujii, Makiko, Lyudmila Lyakh, Cameron P. Bracken, et al.. (2006). SNIP1 Is a Candidate Modifier of the Transcriptional Activity of c-Myc on E Box-Dependent Target Genes. Molecular Cell. 24(5). 771–783. 52 indexed citations
16.
Campbell, Kirsteen J., Sónia Rocha, & Neil D. Perkins. (2004). Active Repression of Antiapoptotic Gene Expression by RelA(p65) NF-κB. Molecular Cell. 13(6). 853–865. 338 indexed citations
17.
Rocha, Sónia, et al.. (2003). The p53-inhibitor Pifithrin-α inhibits Firefly Luciferase activity in vivo and in vitro. BMC Molecular Biology. 4(1). 9–9. 51 indexed citations
18.
Rocha, Sónia. (2002). A investigação do rendimento na PNAD: comentários e sugestões à pesquisa nos anos 2000. www.ipea.gov.br. 4 indexed citations
19.
Pruschy, Martin, Sónia Rocha, Kathrin Zaugg, et al.. (2001). Key targets for the execution of radiation-induced tumor cell apoptosis: the role of p53 and caspases. International Journal of Radiation Oncology*Biology*Physics. 49(2). 561–567. 31 indexed citations
20.
Ghafourifar, Pedram, Sabine D. Klein, Ursula Schenk, et al.. (1999). Ceramide Induces Cytochrome c Release from Isolated Mitochondria. Journal of Biological Chemistry. 274(10). 6080–6084. 232 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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