Pasquale Laise

3.3k total citations
13 papers, 269 citations indexed

About

Pasquale Laise is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Pasquale Laise has authored 13 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Pasquale Laise's work include Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Cells and Metastasis (2 papers). Pasquale Laise is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Cells and Metastasis (2 papers). Pasquale Laise collaborates with scholars based in Italy, United States and Switzerland. Pasquale Laise's co-authors include Giuseppe Testa, Pierre‐Luc Germain, Andrea Califano, John A. Chabot, Mukesh Bansal, Jing He, Sam R. Holmstrom, Aqeel Ahmed, Alina C. Iuga and Paul E. Oberstein and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Pasquale Laise

12 papers receiving 269 citations

Peers

Pasquale Laise
Kuei‐Ling Tung United States
Franciska Haneveld Netherlands
Sara Kendall United States
Ineke Kuper Netherlands
Pasquale Laise
Citations per year, relative to Pasquale Laise Pasquale Laise (= 1×) peers Sanne M. van Neerven

Countries citing papers authored by Pasquale Laise

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Laise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasquale Laise

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

All Works

13 of 13 papers shown
1.
Valenti, Giovanni, Pasquale Laise, Ryota Takahashi, et al.. (2025). Regulatory network analysis of Dclk1 gene expression reveals a tuft cell-ILC2 axis that inhibits pancreatic tumor progression. Cell Reports. 44(6). 115734–115734.
2.
Laise, Pasquale, James M. Hughes, Sebastiano Trattaro, et al.. (2022). EZH2-Mediated H3K27me3 Targets Transcriptional Circuits of Neuronal Differentiation. Frontiers in Neuroscience. 16. 814144–814144. 12 indexed citations
3.
Laise, Pasquale, Megan L. Stanifer, Xiaoyun Sun, et al.. (2022). A model for network-based identification and pharmacological targeting of aberrant, replication-permissive transcriptional programs induced by viral infection. Communications Biology. 5(1). 714–714. 3 indexed citations
5.
Magi, Alberto, Marika Masselli, Angela Guerriero, et al.. (2019). The ion channels and transporters gene expression profile indicates a shift in excitability and metabolisms during malignant progression of Follicular Lymphoma. Scientific Reports. 9(1). 8586–8586. 21 indexed citations
6.
Maurer, H. Carlo, Sam R. Holmstrom, Jing He, et al.. (2019). Experimental microdissection enables functional harmonisation of pancreatic cancer subtypes. Gut. 68(6). 1034–1043. 114 indexed citations
7.
Germain, Pierre‐Luc, Alessandro Vitriolo, Antonio Adamo, et al.. (2016). RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods. Nucleic Acids Research. 44(11). 5054–5067. 27 indexed citations
8.
Laise, Pasquale, Silvia Cristofanon, Sina Atashpaz, et al.. (2016). Polycomb dysregulation in gliomagenesis targets a Zfp423-dependent differentiation network. Nature Communications. 7(1). 10753–10753. 14 indexed citations
9.
Fragola, Giulia, Pierre‐Luc Germain, Pasquale Laise, et al.. (2013). Cell Reprogramming Requires Silencing of a Core Subset of Polycomb Targets. PLoS Genetics. 9(2). e1003292–e1003292. 55 indexed citations
10.
Masselli, Marika, Pasquale Laise, Giuseppe Tonini, et al.. (2012). Deregulation of Ion Channel and Transporter Encoding Genes in Pediatric Gliomas. SHILAP Revista de lepidopterología. 2. 53–53. 9 indexed citations
11.
Laise, Pasquale, Duccio Fanelli, Píetro Lió, & Annarosa Arcangeli. (2012). Modeling TGF-β signaling pathway in epithelial-mesenchymal transition. AIP Advances. 2(1). 4 indexed citations
12.
Laise, Pasquale, Duccio Fanelli, & Annarosa Arcangeli. (2011). A dynamical model of apoptosis and its role in tumor progression. Communications in Nonlinear Science and Numerical Simulation. 17(4). 1795–1804. 2 indexed citations
13.
Laise, Pasquale, Francesca Di Patti, Duccio Fanelli, Marika Masselli, & Annarosa Arcangeli. (2010). Deterministic and stochastic aspects of VEGF-A production and the cooperative behavior of tumoral cell colony. Journal of Theoretical Biology. 272(1). 55–63. 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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