Alessandra Dall’Acqua

751 total citations · 1 hit paper
16 papers, 410 citations indexed

About

Alessandra Dall’Acqua is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Alessandra Dall’Acqua has authored 16 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Alessandra Dall’Acqua's work include Cancer-related Molecular Pathways (6 papers), Advanced Breast Cancer Therapies (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Alessandra Dall’Acqua is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Advanced Breast Cancer Therapies (4 papers) and Ovarian cancer diagnosis and treatment (4 papers). Alessandra Dall’Acqua collaborates with scholars based in Italy, Ukraine and Canada. Alessandra Dall’Acqua's co-authors include Gustavo Baldassarre, Barbara Belletti, Maura Sonego, Ilenia Pellarin, Mónica Schiappacassi, Sara D’Andrea, Ilenia Segatto, Gian Luca Rampioni Vinciguerra, Andrea Vecchione and Roberto Sorio and has published in prestigious journals such as Oncogene, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Alessandra Dall’Acqua

14 papers receiving 410 citations

Hit Papers

Cyclin-dependent protein kinases and cell cycle regulatio... 2025 2026 2025 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandra Dall’Acqua Italy 10 270 157 109 92 39 16 410
Ilenia Pellarin Italy 9 255 0.9× 102 0.6× 107 1.0× 54 0.6× 18 0.5× 12 353
Elisabeth Emilsen Norway 10 280 1.0× 167 1.1× 80 0.7× 60 0.7× 23 0.6× 17 428
Shuyun Yang China 15 383 1.4× 139 0.9× 136 1.2× 47 0.5× 21 0.5× 18 490
Jessie Jeffery Australia 8 346 1.3× 155 1.0× 85 0.8× 63 0.7× 18 0.5× 8 435
Camilla Avivi Israel 5 242 0.9× 218 1.4× 138 1.3× 41 0.4× 17 0.4× 6 409
Zhuonan Liu China 8 445 1.6× 132 0.8× 159 1.5× 83 0.9× 9 0.2× 12 529
Manuela Terranova-Barberio United States 8 329 1.2× 280 1.8× 58 0.5× 65 0.7× 18 0.5× 9 541
Eun‐Kyoung Breuer United States 13 309 1.1× 181 1.2× 152 1.4× 65 0.7× 11 0.3× 17 475
Dongxue Su China 9 570 2.1× 216 1.4× 112 1.0× 54 0.6× 34 0.9× 12 691
Aparajitha Vaidyanathan United Kingdom 5 246 0.9× 282 1.8× 59 0.5× 50 0.5× 62 1.6× 7 406

Countries citing papers authored by Alessandra Dall’Acqua

Since Specialization
Citations

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

Fields of papers citing papers by Alessandra Dall’Acqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alessandra Dall’Acqua. 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 Alessandra Dall’Acqua. The network helps show where Alessandra Dall’Acqua may publish in the future.

Co-authorship network of co-authors of Alessandra Dall’Acqua

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

All Works

16 of 16 papers shown
2.
Pellarin, Ilenia, Alessandra Dall’Acqua, Andrea Favero, et al.. (2025). Cyclin-dependent protein kinases and cell cycle regulation in biology and disease. Signal Transduction and Targeted Therapy. 10(1). 11–11. 57 indexed citations breakdown →
3.
Barcellini, Amelia, Gustavo Baldassarre, Sandro Pignata, et al.. (2025). Does The Molecular Profile Of Ovarian Tumors Influence The Response To Radiotherapy? An In Vitro Study On Behalf Of Multicenter Italian Trials In Ovarian Cancer (MITO) Group. International Journal of Gynecological Cancer. 35(2). 100411–100411.
4.
Favero, Andrea, Ilenia Segatto, Alessandra Capuano, et al.. (2024). Loss of the extracellular matrix glycoprotein EMILIN1 accelerates Δ16HER2-driven breast cancer initiation in mice. npj Breast Cancer. 10(1). 5–5. 6 indexed citations
5.
Vinciguerra, Gian Luca Rampioni, Maura Sonego, Ilenia Segatto, et al.. (2022). CDK4/6 Inhibitors in Combination Therapies: Better in Company Than Alone: A Mini Review. Frontiers in Oncology. 12. 891580–891580. 31 indexed citations
6.
Vinciguerra, Gian Luca Rampioni, Alessandra Dall’Acqua, Ilenia Segatto, et al.. (2021). p27kip1 expression and phosphorylation dictate Palbociclib sensitivity in KRAS-mutated colorectal cancer. Cell Death and Disease. 12(10). 951–951. 8 indexed citations
7.
Dall’Acqua, Alessandra, Michele Bartoletti, Roberto Sorio, et al.. (2021). Inhibition of CDK4/6 as Therapeutic Approach for Ovarian Cancer Patients: Current Evidences and Future Perspectives. Cancers. 13(12). 3035–3035. 21 indexed citations
8.
Pellarin, Ilenia, Maura Sonego, Alessandra Dall’Acqua, et al.. (2020). Serum- and glucocorticoid- inducible kinase 2, SGK2, is a novel autophagy regulator and modulates platinum drugs response in cancer cells. Oncogene. 39(40). 6370–6386. 11 indexed citations
9.
Pellarin, Ilenia, Alessandra Dall’Acqua, Sara D’Andrea, et al.. (2020). Splicing factor proline- and glutamine-rich (SFPQ) protein regulates platinum response in ovarian cancer-modulating SRSF2 activity. Oncogene. 39(22). 4390–4403. 47 indexed citations
10.
Sonego, Maura, Ilenia Pellarin, Gian Luca Rampioni Vinciguerra, et al.. (2019). USP1 links platinum resistance to cancer cell dissemination by regulating Snail stability. Science Advances. 5(5). eaav3235–eaav3235. 95 indexed citations
11.
Sonego, Maura, Alessandra Dall’Acqua, Eliana Pivetta, et al.. (2017). Common biological phenotypes characterize the acquisition of platinum-resistance in epithelial ovarian cancer cells. Scientific Reports. 7(1). 7104–7104. 32 indexed citations
12.
Dall’Acqua, Alessandra, Maura Sonego, Ilenia Pellarin, et al.. (2017). CDK6 protects epithelial ovarian cancer from platinum‐induced death via FOXO3 regulation. EMBO Molecular Medicine. 9(10). 1415–1433. 67 indexed citations
13.
Berton, Stefania, Ilenia Segatto, Francesca Citron, et al.. (2017). Loss of p27kip1 increases genomic instability and induces radio-resistance in luminal breast cancer cells. Scientific Reports. 7(1). 595–595. 21 indexed citations
14.
Nicoloso, Milena S., Mónica Schiappacassi, Alessandra Dall’Acqua, et al.. (2017). SRSF2 mutations in epithelial ovarian cancer. INFM-OAR (INFN Catania). 5(3). 25–29. 3 indexed citations
15.
Dall’Acqua, Alessandra, et al.. (2016). Abstract A02: CDK6 controls platinum sensitivity via the regulation of FOXO3a/ATR: A new actionable pathway for ovarian cancer patients.. Clinical Cancer Research. 22(2_Supplement). A02–A02. 1 indexed citations
16.
Lovisa, Sara, Simona Citro, Maura Sonego, et al.. (2015). SUMOylation regulates p27Kip1stability and localization in response to TGFβ. Journal of Molecular Cell Biology. 8(1). 17–30. 10 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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