Francesca Lazzaroni

500 total citations
10 papers, 168 citations indexed

About

Francesca Lazzaroni is a scholar working on Molecular Biology, Hematology and Neurology. According to data from OpenAlex, Francesca Lazzaroni has authored 10 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Neurology. Recurrent topics in Francesca Lazzaroni's work include Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Cancer-related gene regulation (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). Francesca Lazzaroni is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Cancer-related gene regulation (2 papers) and Vascular Malformations Diagnosis and Treatment (2 papers). Francesca Lazzaroni collaborates with scholars based in Italy, Sweden and Germany. Francesca Lazzaroni's co-authors include Alessandro Beghini, Roberto Cairoli, Sara I. Cunha, Monica Corada, Johan Brännström, Lei Liu Conze, Elisabetta Dejana, Fabrizio Orsenigo, Matteo Malinverno and Suvi Jauhiainen and has published in prestigious journals such as Nature Communications, Blood and Scientific Reports.

In The Last Decade

Francesca Lazzaroni

9 papers receiving 166 citations

Peers

Francesca Lazzaroni
Francesca Lazzaroni
Citations per year, relative to Francesca Lazzaroni Francesca Lazzaroni (= 1×) peers Yusuke Isshiki

Countries citing papers authored by Francesca Lazzaroni

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Lazzaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Lazzaroni

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Lazzaroni. A scholar is included among the top collaborators of Francesca Lazzaroni 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 Francesca Lazzaroni. Francesca Lazzaroni 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.
Fattizzo, Bruno, Matteo Da Vià, Francesca Lazzaroni, et al.. (2025). Bone marrow microenvironment in autoimmune hemolytic anemia: from trephine biopsy to single cell RNA sequencing. Signal Transduction and Targeted Therapy. 10(1). 277–277.
2.
Jauhiainen, Suvi, Francesca Lazzaroni, Lei Liu Conze, et al.. (2024). Proteomics on human cerebral cavernous malformations reveals novel biomarkers in neurovascular dysfunction for the disease pathology. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(5). 167139–167139. 2 indexed citations
3.
Maeda, Akihiro, Matteo Da Vià, Francesca Lazzaroni, et al.. (2022). Single-Cell RNA Sequencing for the Detection of Clonotypic V(D)J Rearrangements in Multiple Myeloma. International Journal of Molecular Sciences. 23(24). 15691–15691. 5 indexed citations
4.
Orsenigo, Fabrizio, Lei Liu Conze, Suvi Jauhiainen, et al.. (2020). Mapping endothelial-cell diversity in cerebral cavernous malformations at single-cell resolution. eLife. 9. 50 indexed citations
5.
Katarkar, Atul, Andrea Clocchiatti, Sandro Goruppi, et al.. (2020). NOTCH1 gene amplification promotes expansion of Cancer Associated Fibroblast populations in human skin. Nature Communications. 11(1). 5126–5126. 28 indexed citations
6.
Cassaro, Adriana, Francesca Lazzaroni, Giovanni Grillo, et al.. (2019). Targeting WNT10B-Driven Signalling through Induction of FZD6 By Porcupine Inhibition in T Cell Acute Lymphoblastic Leukemia. Blood. 134(Supplement_1). 3956–3956. 1 indexed citations
7.
Lazzaroni, Francesca, Luca Del Giacco, Daniele Biasci, et al.. (2016). Intronless WNT10B-short variant underlies new recurrent allele-specific rearrangement in acute myeloid leukaemia. Scientific Reports. 6(1). 37201–37201. 13 indexed citations
8.
Iurlo, Alessandra, Umberto Gianelli, Alessandro Beghini, et al.. (2014). Identification of kitM541L somatic mutation in chronic eosinophilic leukemia, not otherwise specified and its implication in low-dose imatinib response. Oncotarget. 5(13). 4665–4670. 23 indexed citations
9.
Cairoli, Roberto, Alessandro Beghini, Mauro Turrini, et al.. (2013). Old and new prognostic factors in acute myeloid leukemia with deranged core‐binding factor beta. American Journal of Hematology. 88(7). 594–600. 19 indexed citations
10.
Beghini, Alessandro, Francesca Corlazzoli, Luca Del Giacco, et al.. (2012). Regeneration-associated WNT Signaling Is Activated in Long-term Reconstituting AC133bright Acute Myeloid Leukemia Cells. Neoplasia. 14(12). 1236–IN45. 27 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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