Lian Mignacca

556 total citations
10 papers, 358 citations indexed

About

Lian Mignacca is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Lian Mignacca has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Lian Mignacca's work include Cytokine Signaling Pathways and Interactions (4 papers), RNA modifications and cancer (3 papers) and Estrogen and related hormone effects (2 papers). Lian Mignacca is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), RNA modifications and cancer (3 papers) and Estrogen and related hormone effects (2 papers). Lian Mignacca collaborates with scholars based in Canada, Belgium and Israel. Lian Mignacca's co-authors include Gerardo Ferbeyre, Emmanuelle Saint‐Germain, Véronique Bourdeau, Mathieu Vernier, Frédéric Lessard, Subburaj Ilangumaran, Diwakar Bobbala, Geneviève Huot, Olga Moiseeva and Stéphane Lopes‐Paciencia and has published in prestigious journals such as Nucleic Acids Research, Nature Cell Biology and Cancer Research.

In The Last Decade

Lian Mignacca

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lian Mignacca Canada 8 259 109 92 84 78 10 358
Raquel Buj United States 11 236 0.9× 89 0.8× 73 0.8× 30 0.4× 62 0.8× 16 351
Irmina Diala United States 9 200 0.8× 97 0.9× 147 1.6× 168 2.0× 50 0.6× 21 373
Sara Laine-Menéndez Spain 6 221 0.9× 138 1.3× 85 0.9× 44 0.5× 32 0.4× 11 313
Meghan M. Morrison United States 7 185 0.7× 69 0.6× 171 1.9× 36 0.4× 52 0.7× 8 380
Valérie Vial France 8 205 0.8× 147 1.3× 68 0.7× 46 0.5× 23 0.3× 14 332
Jessica Ekedahl Sweden 8 299 1.2× 49 0.4× 103 1.1× 35 0.4× 97 1.2× 8 384
Grinu Mathew United States 10 263 1.0× 101 0.9× 97 1.1× 51 0.6× 16 0.2× 16 360
Yanan Li China 12 249 1.0× 179 1.6× 120 1.3× 136 1.6× 23 0.3× 27 484
Wai Wong United States 4 284 1.1× 44 0.4× 71 0.8× 58 0.7× 26 0.3× 5 365
Caroline Farrington United States 8 353 1.4× 77 0.7× 111 1.2× 46 0.5× 18 0.2× 10 447

Countries citing papers authored by Lian Mignacca

Since Specialization
Citations

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

Fields of papers citing papers by Lian Mignacca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Mignacca

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

All Works

10 of 10 papers shown
1.
Deschênes‐Simard, Xavier, Stéphane Lopes‐Paciencia, Benjamin Le Calvé, et al.. (2023). Targeting ribosome biogenesis reinforces ERK-dependent senescence in pancreatic cancer. Cell Cycle. 22(19). 2172–2193. 8 indexed citations
2.
Lessard, Frédéric, Emmanuelle Saint‐Germain, Lian Mignacca, & Gerardo Ferbeyre. (2020). SOCS1: phosphorylation, dimerization and tumor suppression. Oncoscience. 6(11-12). 386–389. 7 indexed citations
3.
Saint‐Germain, Emmanuelle, Lian Mignacca, Geneviève Huot, et al.. (2019). Phosphorylation of SOCS1 Inhibits the SOCS1–p53 Tumor Suppressor Axis. Cancer Research. 79(13). 3306–3319. 14 indexed citations
4.
Ruiz, Ana Fernández, Lian Mignacca, Paloma Kalegari, et al.. (2019). Ribosomal protein RPL22/eL22 regulates the cell cycle by acting as an inhibitor of the CDK4-cyclin D complex. Cell Cycle. 18(6-7). 759–770. 17 indexed citations
5.
Lessard, Frédéric, Sebastian Igelmann, Christian Trahan, et al.. (2018). Senescence-associated ribosome biogenesis defects contributes to cell cycle arrest through the Rb pathway. Nature Cell Biology. 20(7). 789–799. 111 indexed citations
6.
McManus, Francis P., Véronique Bourdeau, Stéphane Lopes‐Paciencia, et al.. (2018). Quantitative SUMO proteomics reveals the modulation of several PML nuclear body associated proteins and an anti-senescence function of UBC9. Scientific Reports. 8(1). 7754–7754. 30 indexed citations
7.
Yan, Yifei, Lian Mignacca, Philippe Desjardins, et al.. (2018). The sequence features that define efficient and specific hAGO2-dependent miRNA silencing guides. Nucleic Acids Research. 46(16). 8181–8196. 6 indexed citations
8.
Saint‐Germain, Emmanuelle, Lian Mignacca, Mathieu Vernier, et al.. (2017). SOCS1 regulates senescence and ferroptosis by modulating the expression of p53 target genes. Aging. 9(10). 2137–2162. 85 indexed citations
9.
Vernier, Mathieu, Lian Mignacca, Frédéric Lessard, et al.. (2016). A CDK4/6-Dependent Epigenetic Mechanism Protects Cancer Cells from PML-induced Senescence. Cancer Research. 76(11). 3252–3264. 48 indexed citations
10.
Mignacca, Lian, et al.. (2016). Sponges against miR-19 and miR-155 reactivate the p53-Socs1 axis in hematopoietic cancers. Cytokine. 82. 80–86. 32 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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