Dania Benedetti

1.1k total citations
17 papers, 381 citations indexed

About

Dania Benedetti is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Dania Benedetti has authored 17 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Dania Benedetti's work include Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Dania Benedetti is often cited by papers focused on Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Dania Benedetti collaborates with scholars based in Italy, United States and Austria. Dania Benedetti's co-authors include Michele Dal Bo, Giovanni Del Poeta, Valter Gattei, Antonella Zucchetto, Riccardo Bomben, Gianluca Gaïdano, Davide Rossi, Erika Tissino, Francesca Maria Rossi and Daniela Marconi and has published in prestigious journals such as Blood, Cancer Research and Leukemia.

In The Last Decade

Dania Benedetti

16 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dania Benedetti Italy 9 265 189 161 104 60 17 381
Aleksandar Petlickovski Italy 5 402 1.5× 254 1.3× 197 1.2× 173 1.7× 50 0.8× 9 480
Erika Tissino Italy 11 246 0.9× 162 0.9× 128 0.8× 250 2.4× 88 1.5× 22 490
María Hernández‐Sánchez Spain 14 232 0.9× 138 0.7× 149 0.9× 196 1.9× 105 1.8× 42 451
Anja Führer Germany 7 342 1.3× 211 1.1× 229 1.4× 160 1.5× 69 1.1× 8 469
Dieuwertje M. Luijks Netherlands 8 241 0.9× 145 0.8× 118 0.7× 135 1.3× 92 1.5× 11 353
Gianluca Schiavoni Italy 10 276 1.0× 128 0.7× 177 1.1× 184 1.8× 114 1.9× 17 440
Noelia Purroy Spain 10 159 0.6× 123 0.7× 136 0.8× 113 1.1× 88 1.5× 18 334
Raimundo Bezares Argentina 14 212 0.8× 185 1.0× 115 0.7× 116 1.1× 81 1.4× 29 400
Margot Jak Netherlands 8 209 0.8× 199 1.1× 116 0.7× 89 0.9× 149 2.5× 23 394
Pamela Ranghetti Italy 9 130 0.5× 168 0.9× 73 0.5× 70 0.7× 69 1.1× 20 284

Countries citing papers authored by Dania Benedetti

Since Specialization
Citations

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

Fields of papers citing papers by Dania Benedetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dania Benedetti

This figure shows the co-authorship network connecting the top 25 collaborators of Dania Benedetti. A scholar is included among the top collaborators of Dania Benedetti 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 Dania Benedetti. Dania Benedetti 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.
Tissino, Erika, Eliana Pivetta, Alessandra Capuano, et al.. (2021). Elastin MIcrofibriL INterfacer1 (EMILIN‐1) is an alternative prosurvival VLA‐4 ligand in chronic lymphocytic leukemia. Hematological Oncology. 40(2). 181–190. 4 indexed citations
2.
Montico, Barbara, Francesca Colizzi, Giorgio Giurato, et al.. (2020). Loss of Spry1 reduces growth of BRAFV600-mutant cutaneous melanoma and improves response to targeted therapy. Cell Death and Disease. 11(5). 392–392. 13 indexed citations
3.
Montico, Barbara, Giorgio Giurato, Francesca Colizzi, et al.. (2020). Abstract B06: Loss of SPRY1 expression in BRAF-mutant cutaneous melanoma inhibits cell proliferation and improves response to targeted therapy. Cancer Research. 80(19_Supplement). B06–B06. 2 indexed citations
4.
Bo, Michele Dal, Erika Tissino, Dania Benedetti, et al.. (2016). Functional and Clinical Significance of the Integrin Alpha Chain CD49d Expression in Chronic Lymphocytic Leukemia. Current Cancer Drug Targets. 16(8). 659–668. 9 indexed citations
5.
6.
Bo, Michele Dal, Erika Tissino, Dania Benedetti, et al.. (2014). The Role of CD49d in Chronic Lymphocytic Leukaemia: Microenvironmental Interactions and Clinical Relevance. 80–87. 1 indexed citations
7.
Bo, Michele Dal, Erika Tissino, Dania Benedetti, et al.. (2014). Microenvironmental Interactions in Chronic Lymphocytic Leukemia: The Master Role of CD49d. Seminars in Hematology. 51(3). 168–176. 27 indexed citations
8.
Zucchetto, Antonella, Dania Benedetti, Erika Tissino, et al.. (2013). CD49d is overexpressed by trisomy 12 chronic lymphocytic leukemia cells: evidence for a methylation-dependent regulation mechanism. Blood. 122(19). 3317–3321. 38 indexed citations
9.
Zucchetto, Antonella, Tiziana Vaisitti, Dania Benedetti, et al.. (2012). The CD49d/CD29 complex is physically and functionally associated with CD38 in B-cell chronic lymphocytic leukemia cells. Leukemia. 26(6). 1301–1312. 67 indexed citations
10.
Bomben, Riccardo, Stefania Gobessi, Michele Dal Bo, et al.. (2012). The miR-17∼92 family regulates the response to Toll-like receptor 9 triggering of CLL cells with unmutated IGHV genes. Leukemia. 26(7). 1584–1593. 63 indexed citations
11.
Zucchetto, Antonella, Riccardo Bomben, Erika Tissino, et al.. (2012). CD49d Is Overexpressed in Trisomy 12 Chronic Lymphocytic Leukemia by an Epigenetic-Dependent Transcriptional Control. Blood. 120(21). 929–929.
12.
Rossi, Francesca Maria, Maria Ilaria Del Principe, Davide Rossi, et al.. (2010). Prognostic impact of ZAP-70 expression in chronic lymphocytic leukemia: mean fluorescence intensity T/B ratio versus percentage of positive cells. Journal of Translational Medicine. 8(1). 23–23. 18 indexed citations
13.
Zucchetto, Antonella, Dania Benedetti, Claudio Tripodo, et al.. (2009). CD38/CD31, the CCL3 and CCL4 Chemokines, and CD49d/Vascular Cell Adhesion Molecule-1 Are Interchained by Sequential Events Sustaining Chronic Lymphocytic Leukemia Cell Survival. Cancer Research. 69(9). 4001–4009. 118 indexed citations
14.
Zucchetto, Antonella, Paolo Sonego, Massimo Degan, et al.. (2006). Surface-antigen expression profiling of B cell chronic lymphocytic leukemia: from the signature of specific disease subsets to the identification of markers with prognostic relevance. Journal of Translational Medicine. 4(1). 11–11. 8 indexed citations
15.
Gattei, Valter, Michele Dal Bo, Antonella Zucchetto, et al.. (2005). Mutational Status of IgVH Genes in B-Cell Chronic Lymphocytic Leukemia (B-CLL) and Prognosis: Percent Mutations or Evaluation of Antigen-Driven Selection?. Blood. 106(11). 2106–2106. 1 indexed citations
16.
Benedetti, Dania, et al.. (1995). Acromegaly and Large Cell Lymphoma. Acta Haematologica. 94(4). 214–215. 4 indexed citations
17.
Filippini, Graziella, Massimo Musicco, Laura Fratiglioni, et al.. (1989). Migration and infectious diseases in the etiology of multiple sclerosis: A case-control study. 147–158. 6 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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