Serena Scala

1.8k total citations
17 papers, 371 citations indexed

About

Serena Scala is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Serena Scala has authored 17 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 6 papers in Oncology. Recurrent topics in Serena Scala's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers) and Pluripotent Stem Cells Research (3 papers). Serena Scala is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers) and Pluripotent Stem Cells Research (3 papers). Serena Scala collaborates with scholars based in Italy, United States and Belgium. Serena Scala's co-authors include Alessandro Aiuti, Luca Basso‐Ricci, Luca Biasco, Francesca Dionisio, Stefania Giannelli, Eugenio Montini, Lorena Leonardelli, Danilo Pellin, Maria Pia Cicalese and Andrea Calabria and has published in prestigious journals such as Nature Medicine, Nature Communications and Blood.

In The Last Decade

Serena Scala

16 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Serena Scala Italy 9 184 133 118 112 84 17 371
Luca Basso‐Ricci Italy 7 145 0.8× 121 0.9× 104 0.9× 90 0.8× 77 0.9× 9 314
Sebastian Klobuch Germany 14 137 0.7× 224 1.7× 194 1.6× 66 0.6× 95 1.1× 36 463
Jun-ichi Yata Japan 7 177 1.0× 46 0.3× 215 1.8× 108 1.0× 84 1.0× 7 520
Liufang Gu China 9 142 0.8× 192 1.4× 92 0.8× 31 0.3× 108 1.3× 22 371
Heath L. Bradley United States 12 187 1.0× 163 1.2× 141 1.2× 23 0.2× 116 1.4× 19 427
Jiazhen Cui China 11 139 0.8× 312 2.3× 118 1.0× 76 0.7× 74 0.9× 39 423
Valentina Capo Italy 9 282 1.5× 132 1.0× 88 0.7× 184 1.6× 14 0.2× 16 386
José Javier United States 4 125 0.7× 68 0.5× 79 0.7× 34 0.3× 86 1.0× 8 289
Alexandra Miggelbrink United States 5 137 0.7× 136 1.0× 152 1.3× 60 0.5× 13 0.2× 6 320
Azam Roohi Iran 11 168 0.9× 66 0.5× 116 1.0× 33 0.3× 26 0.3× 23 355

Countries citing papers authored by Serena Scala

Since Specialization
Citations

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

Fields of papers citing papers by Serena Scala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Scala

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Scala. A scholar is included among the top collaborators of Serena Scala 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 Serena Scala. Serena Scala 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.
Beretta, Stefano, Laura Passerini, Marilena Mancino, et al.. (2024). Transcriptomic analysis of BM-MSCs identified EGR1 as a transcription factor to fully exploit their therapeutic potential. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(8). 119818–119818. 1 indexed citations
2.
Scala, Serena, Luca Basso‐Ricci, Francesca Dionisio, et al.. (2023). Hematopoietic reconstitution dynamics of mobilized- and bone marrow-derived human hematopoietic stem cells after gene therapy. Nature Communications. 14(1). 3068–3068. 9 indexed citations
3.
Ferrari, Samuele, Anastasia Conti, Serena Scala, et al.. (2023). Genetic engineering meets hematopoietic stem cell biology for next-generation gene therapy. Cell stem cell. 30(5). 549–570. 26 indexed citations
4.
Pellin, Danilo, Luca Biasco, Serena Scala, Clelia Di Serio, & Ernst C. Wit. (2023). Tracking hematopoietic stem cell evolution in a Wiskott–Aldrich clinical trial. The Annals of Applied Statistics. 17(3). 3 indexed citations
5.
Crippa, Stefania, Anastasia Conti, Valentina Vavassori, et al.. (2022). Mesenchymal stromal cells improve the transplantation outcome of CRISPR-Cas9 gene-edited human HSPCs. Molecular Therapy. 31(1). 230–248. 10 indexed citations
6.
Lettera, Emanuele, Stefano Beretta, Anastasia Conti, et al.. (2021). Oncogene-induced senescence in hematopoietic progenitors features myeloid restricted hematopoiesis, chronic inflammation and histiocytosis. Nature Communications. 12(1). 4559–4559. 32 indexed citations
7.
Mortellaro, Alessandra, Matteo Zoccolillo, Immacolata Brigida, et al.. (2021). Lentiviral-Mediated Gene Therapy for the Treatment of Adenosine Deaminase 2 Deficiency. Blood. 138(Supplement 1). 2937–2937.
8.
Serio, Clelia Di, Serena Scala, & Paola Vicard. (2020). Bayesian networks for cell differentiation process assessment. Stat. 9(1). 2 indexed citations
9.
Lam, Michael T., Simona Coppola, Oliver H.F. Krumbach, et al.. (2019). FRI0540 A NOVEL AUTOINFLAMMATORY DISEASE CHARACTERIZED BY NEONATAL-ONSET CYTOPENIA WITH AUTOINFLAMMATION, RASH, AND HEMOPHAGOCYTOSIS (NOCARH) DUE TO ABERRANT CDC42 FUNCTION. Annals of the Rheumatic Diseases. 78. 964–964. 1 indexed citations
10.
Scala, Serena & Alessandro Aiuti. (2019). In vivo dynamics of human hematopoietic stem cells: novel concepts and future directions. Blood Advances. 3(12). 1916–1924. 30 indexed citations
11.
Scala, Serena, Luca Basso‐Ricci, Francesca Dionisio, et al.. (2018). Dynamics of genetically engineered hematopoietic stem and progenitor cells after autologous transplantation in humans. Nature Medicine. 24(11). 1683–1690. 82 indexed citations
12.
Basso‐Ricci, Luca, Serena Scala, Raffaella Milani, et al.. (2017). Multiparametric Whole Blood Dissection: A one‐shot comprehensive picture of the human hematopoietic system. Cytometry Part A. 91(10). 952–965. 12 indexed citations
13.
Scala, Serena, Lorena Leonardelli, & Luca Biasco. (2016). Current Approaches and Future Perspectives for In Vivo Clonal Tracking of Hematopoietic Cells. Current Gene Therapy. 16(3). 184–193. 7 indexed citations
14.
Leonardelli, Lorena, Danilo Pellin, Serena Scala, et al.. (2016). 531. Computational Pipeline for the Identification of Integration Sites and Novel Method for the Quantification of Clone Sizes in Clonal Tracking Studies. Molecular Therapy. 24. S212–S213. 5 indexed citations
15.
Biasco, Luca, Serena Scala, Luca Basso‐Ricci, et al.. (2015). In vivo tracking of T cells in humans unveils decade-long survival and activity of genetically modified T memory stem cells. Science Translational Medicine. 7(273). 273ra13–273ra13. 129 indexed citations
16.
Scala, Serena, Luca Biasco, Francesca Dionisio, et al.. (2014). In Vivo Tracking of T Cells in Humans Unveils Decade-Long Survival and Activity of Genetically Modified T Memory Stem Cells. Blood. 124(21). 547–547. 1 indexed citations
17.
Palma, Tina Di, A. Conti, Tiziana de Cristofaro, et al.. (2011). Identification of Novel Pax8 Targets in FRTL-5 Thyroid Cells by Gene Silencing and Expression Microarray Analysis. PLoS ONE. 6(9). e25162–e25162. 21 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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