Daniela Boselli

912 total citations
17 papers, 730 citations indexed

About

Daniela Boselli is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Daniela Boselli has authored 17 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Daniela Boselli's work include Cytokine Signaling Pathways and Interactions (6 papers), Extracellular vesicles in disease (3 papers) and Platelet Disorders and Treatments (3 papers). Daniela Boselli is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), Extracellular vesicles in disease (3 papers) and Platelet Disorders and Treatments (3 papers). Daniela Boselli collaborates with scholars based in Italy, France and Belarus. Daniela Boselli's co-authors include Francesco Novelli, Laura Conti, Gabriella Regis, Luca Durelli, Giulia Contessa, Marinella Clerico, Valeria Poli, Sara Pensa, Pierre Eid and Bruno Ferrero and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniela Boselli

16 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Boselli Italy 11 399 250 214 180 80 17 730
Agata Kosmaczewska Poland 19 499 1.3× 245 1.0× 128 0.6× 100 0.6× 61 0.8× 49 785
Lidia Ciszak Poland 18 449 1.1× 228 0.9× 126 0.6× 102 0.6× 48 0.6× 46 720
David Ahern United Kingdom 11 492 1.2× 233 0.9× 46 0.2× 324 1.8× 49 0.6× 16 930
Marina Vignoli Italy 12 274 0.7× 182 0.7× 70 0.3× 165 0.9× 35 0.4× 22 640
Natalie V. Singer United States 10 375 0.9× 154 0.6× 59 0.3× 251 1.4× 165 2.1× 18 798
Iwona Auer Canada 13 108 0.3× 189 0.8× 252 1.2× 114 0.6× 126 1.6× 28 714
William A. Figgett Australia 11 442 1.1× 82 0.3× 78 0.4× 135 0.8× 41 0.5× 18 768
Tomasz Herjan United States 13 674 1.7× 251 1.0× 76 0.4× 354 2.0× 37 0.5× 17 1.0k
Eileen T. Samy United States 17 600 1.5× 113 0.5× 52 0.2× 269 1.5× 45 0.6× 24 1.1k
Jim G. Castellanos United States 6 426 1.1× 161 0.6× 203 0.9× 101 0.6× 18 0.2× 9 658

Countries citing papers authored by Daniela Boselli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Boselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Boselli

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

All Works

17 of 17 papers shown
1.
Boselli, Daniela, Francesca Clemente, Simona Di Terlizzi, et al.. (2025). Unravelling Plasma Extracellular Vesicle Diversity With Optimised Spectral Flow Cytometry. Journal of Extracellular Biology. 4(4). e70045–e70045. 1 indexed citations
2.
Boselli, Daniela, et al.. (2024). Setting a Successful Sorting for Extracellular Vesicle Isolation. Journal of Visualized Experiments.
3.
Testoni, Sabrina Gloria Giulia, Claudia Minici, Elisa Benetti, et al.. (2023). Immunomodulatory Effects of Endoscopic Ultrasound-Guided Thermal Ablation in Patients with Pancreatic Ductal Adenocarcinoma. Cancers. 15(14). 3704–3704. 4 indexed citations
4.
Bhat, Ganesh Parameshwar, Paola Podini, Chiara Malpighi, et al.. (2023). Structured wound angiogenesis instructs mesenchymal barrier compartments in the regenerating nerve. Neuron. 112(2). 209–229.e11. 15 indexed citations
5.
Boselli, Daniela, Maddalena Panigada, Simona Di Terlizzi, et al.. (2023). Time- and cost-effective production of untagged recombinant MVA by flow virometry and direct virus sorting. Journal of Translational Medicine. 21(1). 495–495. 1 indexed citations
6.
Barbariga, Marco, Flavio Curnis, Antonio Conti, et al.. (2020). Ceruloplasmin oxidized and deamidated by Parkinson's disease cerebrospinal fluid induces epithelial cells proliferation arrest and apoptosis. Scientific Reports. 10(1). 15507–15507. 9 indexed citations
7.
Zara, M, Gianni Francesco Guidetti, Daniela Boselli, et al.. (2017). Release of Prometastatic Platelet-Derived Microparticles Induced by Breast Cancer Cells: A Novel Positive Feedback Mechanism for Metastasis. SHILAP Revista de lepidopterología. 1(2). e155–e163. 25 indexed citations
8.
Trojani, Alessandra, Alessandra Tedeschi, Antonino Greco, et al.. (2016). Transcriptome Analysis Identified Significant Differences in Gene Expression Variability Between WM and IgM-MGUS BM B Cell Clones. Blood. 128(22). 5089–5089. 1 indexed citations
9.
Canzano, Paola, Laura Rossetti, Nicola Ferri, et al.. (2015). Human megakaryocytes confer tissue factor to a subset of shed platelets to stimulate thrombin generation. Thrombosis and Haemostasis. 114(9). 579–592. 34 indexed citations
10.
Conti, Laura, Raffaele De Palma, Simona Rolla, et al.. (2012). Th17 Cells in Multiple Sclerosis Express Higher Levels of JAK2, Which Increases Their Surface Expression of IFN-γR2. The Journal of Immunology. 188(3). 1011–1018. 22 indexed citations
11.
Camera, Marina, Marta Brambilla, Daniela Boselli, et al.. (2012). Response: functionally active platelets do express tissue factor. Blood. 119(18). 4339–4341. 13 indexed citations
12.
Boselli, Daniela, Josiane Ragimbeau, Luca Orlando, et al.. (2010). Expression of IFNγR2 mutated in a dileucine internalization motif reinstates IFNγ signaling and apoptosis in human T lymphocytes. Immunology Letters. 134(1). 17–25. 12 indexed citations
13.
Durelli, Luca, Laura Conti, Marinella Clerico, et al.. (2009). T‐helper 17 cells expand in multiple sclerosis and are inhibited by interferon‐β. Annals of Neurology. 65(5). 499–509. 316 indexed citations
14.
Regis, Gabriella, Sara Pensa, Daniela Boselli, Francesco Novelli, & Valeria Poli. (2008). Ups and downs: The STAT1:STAT3 seesaw of Interferon and gp130 receptor signalling. Seminars in Cell and Developmental Biology. 19(4). 351–359. 181 indexed citations
15.
Boselli, Daniela, Paola Bernabei, Daniela Bosisio, et al.. (2007). IFN‐γ regulates Fas ligand expression in human CD4+ T lymphocytes and controls their anti‐mycobacterial cytotoxic functions. European Journal of Immunology. 37(8). 2196–2204. 22 indexed citations
16.
Regis, Gabriella, Laura Conti, Daniela Boselli, & Francesco Novelli. (2005). IFNγR2 trafficking tunes IFNγ–STAT1 signaling in T lymphocytes. Trends in Immunology. 27(2). 96–101. 35 indexed citations
17.
Regis, Gabriella, Marita Bosticardo, Laura Conti, et al.. (2004). Iron regulates T-lymphocyte sensitivity to the IFN-γ/STAT1 signaling pathway in vitro and in vivo. Blood. 105(8). 3214–3221. 39 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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