Chiara Lavarello

1.2k total citations
30 papers, 872 citations indexed

About

Chiara Lavarello is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Chiara Lavarello has authored 30 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Immunology and 6 papers in Oncology. Recurrent topics in Chiara Lavarello's work include Immune Cell Function and Interaction (6 papers), Extracellular vesicles in disease (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Chiara Lavarello is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Extracellular vesicles in disease (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). Chiara Lavarello collaborates with scholars based in Italy, Spain and United States. Chiara Lavarello's co-authors include Andrea Petretto, Maurizio Bruschi, Laura Santucci, Giovanni Candiano, Elvira Inglese, Gian Marco Ghiggeri, Franco Locatelli, Silvia Ravera, Pier Giorgio Righetti and Martina Bartolucci and has published in prestigious journals such as Analytical Chemistry, Cancer Research and Scientific Reports.

In The Last Decade

Chiara Lavarello

27 papers receiving 866 citations

Peers

Chiara Lavarello
Yee Chan‐Li United States
Sung‐Yup Cho South Korea
Fei Yue China
Astrid Kragt Netherlands
Silke Durka Switzerland
Yee Chan‐Li United States
Chiara Lavarello
Citations per year, relative to Chiara Lavarello Chiara Lavarello (= 1×) peers Yee Chan‐Li

Countries citing papers authored by Chiara Lavarello

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Lavarello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiara Lavarello

This figure shows the co-authorship network connecting the top 25 collaborators of Chiara Lavarello. A scholar is included among the top collaborators of Chiara Lavarello 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 Chiara Lavarello. Chiara Lavarello 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.
Iannello, Andrea, Chiara Lavarello, Giulio Ferrero, et al.. (2025). Complementary approaches define the metabolic features that accompany Richter syndrome transformation. Cellular and Molecular Life Sciences. 82(1). 152–152.
2.
Uccella, Sarà, Chiara Lavarello, Martina Bartolucci, et al.. (2024). Early IGF-1 receptor inhibition in mice mimics preterm human brain disorders and reveals a therapeutic target. Science Advances. 10(9). eadk8123–eadk8123. 6 indexed citations
3.
Parodi, Monica, Giovanni Centonze, Paola Orecchia, et al.. (2024). Hybrid epithelial-mesenchymal status of lung cancer dictates metastatic success through differential interaction with NK cells. Journal for ImmunoTherapy of Cancer. 12(3). e007895–e007895. 11 indexed citations
4.
Galardi, Angela, Marta Colletti, Chiara Lavarello, et al.. (2022). Proteomics of Aqueous Humor as a Source of Disease Biomarkers in Retinoblastoma. International Journal of Molecular Sciences. 23(21). 13458–13458. 13 indexed citations
5.
Barco, Sebastiano, Chiara Lavarello, Davide Cangelosi, et al.. (2022). Untargeted LC-HRMS Based-Plasma Metabolomics Reveals 3-O-Methyldopa as a New Biomarker of Poor Prognosis in High-Risk Neuroblastoma. Frontiers in Oncology. 12. 845936–845936. 7 indexed citations
6.
Lavarello, Chiara, Paola Orecchia, Andrea Petretto, et al.. (2022). Study of the effects of NK-tumor cell interaction by proteomic analysis and imaging. Methods in cell biology. 173. 91–107.
7.
Emanet, Melis, Özlem Şen, Francesca Pignatelli, et al.. (2022). Hazelnut extract-loaded nanostructured lipid carriers and evaluation of their antioxidant properties. Frontiers in Bioengineering and Biotechnology. 10. 953867–953867. 6 indexed citations
8.
Penco, Federica, Andrea Petretto, Chiara Lavarello, et al.. (2022). Proteomic Signatures of Monocytes in Hereditary Recurrent Fevers. Frontiers in Immunology. 13. 921253–921253. 4 indexed citations
9.
Lavarello, Chiara, Sebastiano Barco, Martina Bartolucci, et al.. (2021). Development of an Accurate Mass Retention Time Database for Untargeted Metabolomic Analysis and Its Application to Plasma and Urine Pediatric Samples. Molecules. 26(14). 4256–4256. 10 indexed citations
10.
Marino, Attilio, Matteo Battaglini, Andrea Desii, et al.. (2021). Liposomes loaded with polyphenol-rich grape pomace extracts protect from neurodegeneration in a rotenone-basedin vitromodel of Parkinson's disease. Biomaterials Science. 9(24). 8171–8188. 42 indexed citations
11.
Raggi, Federica, Chiara Lavarello, Alessandra Gamberucci, et al.. (2021). The SGLT2-inhibitor dapagliflozin improves neutropenia and neutrophil dysfunction in a mouse model of the inherited metabolic disorder GSDIb. Molecular Genetics and Metabolism Reports. 29. 100813–100813. 8 indexed citations
12.
Galardi, Angela, Marta Colletti, Chiara Lavarello, et al.. (2020). Proteomic Profiling of Retinoblastoma-Derived Exosomes Reveals Potential Biomarkers of Vitreous Seeding. Cancers. 12(6). 1555–1555. 34 indexed citations
13.
Bruschi, Maurizio, Andrea Petretto, Laura Santucci, et al.. (2019). Neutrophil Extracellular Traps protein composition is specific for patients with Lupus nephritis and includes methyl-oxidized αenolase (methionine sulfoxide 93). Scientific Reports. 9(1). 7934–7934. 56 indexed citations
14.
Huergo-Zapico, Leticía, Monica Parodi, Claudia Cantoni, et al.. (2018). NK-cell Editing Mediates Epithelial-to-Mesenchymal Transition via Phenotypic and Proteomic Changes in Melanoma Cell Lines. Cancer Research. 78(14). 3913–3925. 59 indexed citations
15.
Quintarelli, Concetta, Domenico Orlando, Iolanda Boffa, et al.. (2018). Choice of costimulatory domains and of cytokines determines CAR T-cell activity in neuroblastoma. OncoImmunology. 7(6). e1433518–e1433518. 106 indexed citations
16.
Bertaina, Alice, Alessia Zorzoli, Andrea Petretto, et al.. (2016). Zoledronic acid boosts γδ T-cell activity in children receiving αβ+T and CD19+cell-depleted grafts from an HLA-haplo-identical donor. OncoImmunology. 6(2). e1216291–e1216291. 52 indexed citations
17.
Bruschi, Maurizio, Laura Santucci, Silvia Ravera, et al.. (2016). Human urinary exosome proteome unveils its aerobic respiratory ability. Journal of Proteomics. 136. 25–34. 30 indexed citations
18.
Bruschi, Maurizio, Silvia Ravera, Laura Santucci, et al.. (2015). The human urinary exosome as a potential metabolic effector cargo. Expert Review of Proteomics. 12(4). 425–432. 35 indexed citations
19.
Santucci, Laura, Giovanni Candiano, Andrea Petretto, et al.. (2014). From hundreds to thousands: Widening the normal human Urinome. Data in Brief. 1. 25–28. 45 indexed citations
20.
Santucci, Laura, Giovanni Candiano, Andrea Petretto, et al.. (2014). From hundreds to thousands: Widening the normal human Urinome (1). Journal of Proteomics. 112. 53–62. 38 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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