Rosella Famà

1.9k total citations
9 papers, 286 citations indexed

About

Rosella Famà is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Rosella Famà has authored 9 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Rosella Famà's work include Chronic Lymphocytic Leukemia Research (4 papers), Hemophilia Treatment and Research (3 papers) and Cancer-related gene regulation (3 papers). Rosella Famà is often cited by papers focused on Chronic Lymphocytic Leukemia Research (4 papers), Hemophilia Treatment and Research (3 papers) and Cancer-related gene regulation (3 papers). Rosella Famà collaborates with scholars based in Italy and United States. Rosella Famà's co-authors include Gianluca Gaïdano, Jiguang Wang, Carmela Ciardullo, Hossein Khiabanian, Robin Foà, Valeria Spina, Davide Rossi, Raúl Rabadán, Clara Deambrogi and Sara Monti and has published in prestigious journals such as Blood, Journal of Thrombosis and Haemostasis and Haematologica.

In The Last Decade

Rosella Famà

9 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosella Famà Italy 5 215 172 93 76 67 9 286
Anna Puiggros Spain 9 221 1.0× 167 1.0× 131 1.4× 60 0.8× 76 1.1× 25 345
Jade Forster United Kingdom 7 223 1.0× 185 1.1× 107 1.2× 44 0.6× 114 1.7× 13 320
Marinus van Oers Netherlands 9 183 0.9× 137 0.8× 88 0.9× 100 1.3× 104 1.6× 17 325
Adam Albitar United States 5 238 1.1× 192 1.1× 105 1.1× 40 0.5× 56 0.8× 8 278
Ewa Wąsik‐Szczepanek Poland 10 279 1.3× 158 0.9× 196 2.1× 75 1.0× 79 1.2× 44 396
Vladimíra Vranová Czechia 7 206 1.0× 115 0.7× 80 0.9× 85 1.1× 88 1.3× 16 290
Noelia Purroy Spain 10 159 0.7× 136 0.8× 123 1.3× 88 1.2× 113 1.7× 18 334
Kimberly J. Stockero United States 9 285 1.3× 223 1.3× 160 1.7× 39 0.5× 90 1.3× 9 390
Sara Gabrielli Australia 7 124 0.6× 112 0.7× 158 1.7× 70 0.9× 56 0.8× 12 279
Elisa Tammiso Italy 12 332 1.5× 261 1.5× 203 2.2× 60 0.8× 71 1.1× 18 410

Countries citing papers authored by Rosella Famà

Since Specialization
Citations

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

Fields of papers citing papers by Rosella Famà

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosella Famà

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

All Works

9 of 9 papers shown
1.
Borroni, Ester, Chiara Borsotti, Rosella Famà, et al.. (2024). Immune tolerance promotion by LSEC-specific lentiviral vector-mediated expression of the transgene regulated by the stabilin-2 promoter. Molecular Therapy — Nucleic Acids. 35(1). 102116–102116. 3 indexed citations
2.
Famà, Rosella, Ester Borroni, Simone Merlin, et al.. (2020). Deciphering the Ets-1/2-mediated transcriptional regulation of F8 gene identifies a minimal F8 promoter for hemophilia A gene therapy. Haematologica. 106(6). 1624–1635. 6 indexed citations
3.
Famà, Rosella, Ester Borroni, Simone Merlin, et al.. (2020). Identification and functional characterization of a novel splicing variant in the F8 coagulation gene causing severe hemophilia A. Journal of Thrombosis and Haemostasis. 18(5). 1050–1064. 2 indexed citations
4.
Merlin, Simone, et al.. (2019). FVIII expression by its native promoter sustains long-term correction avoiding immune response in hemophilic mice. Blood Advances. 3(5). 825–838. 23 indexed citations
5.
Rossi, Davide, Hossein Khiabanian, Valeria Spina, et al.. (2014). Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia. Blood. 123(14). 2139–2147. 228 indexed citations
6.
Rossi, Davide, Hossein Khiabanian, Carmela Ciardullo, et al.. (2013). Clinical Impact Of Small TP53 Mutated Subclones In Chronic Lymphocytic Leukemia. Blood. 122(21). 116–116. 8 indexed citations
7.
Rossi, Davide, Alessio Bruscaggin, Sara Monti, et al.. (2013). Molecular Lesions Of Signalling Pathway Genes In Indolent B-Cell Lymphoproliferations Mimicking Splenic Marginal Zone Lymphoma. Blood. 122(21). 4250–4250. 1 indexed citations
8.
Rossi, Davide, Silvia Rasi, Valeria Spina, et al.. (2012). The genome of chemorefractory chronic lymphocytic leukemia reveals frequent mutations of NOTCH1 and SF3B1. PubMed. 1(S2). S26–S28. 2 indexed citations
9.
Capello, Daniela, Annunziata Gloghini, Gianluca Baldanzi, et al.. (2012). Alterations of negative regulators of cytokine signalling in immunodeficiency‐related non‐Hodgkin lymphoma. Hematological Oncology. 31(1). 22–28. 13 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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