Maria Grazia Daidone

20.3k total citations · 4 hit papers
279 papers, 14.6k citations indexed

About

Maria Grazia Daidone is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Maria Grazia Daidone has authored 279 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 139 papers in Oncology, 131 papers in Cancer Research and 129 papers in Molecular Biology. Recurrent topics in Maria Grazia Daidone's work include Cancer Genomics and Diagnostics (53 papers), Breast Cancer Treatment Studies (51 papers) and Cancer Cells and Metastasis (47 papers). Maria Grazia Daidone is often cited by papers focused on Cancer Genomics and Diagnostics (53 papers), Breast Cancer Treatment Studies (51 papers) and Cancer Cells and Metastasis (47 papers). Maria Grazia Daidone collaborates with scholars based in Italy, United States and United Kingdom. Maria Grazia Daidone's co-authors include Nadia Zaffaroni, Rosella Silvestrini, Danila Coradini, Marco A. Pierotti, Silvana Pilotti, Silvia Veneroni, Aurora Costa, G. Di Fronzo, Vera Cappelletti and Elvira Benini and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Maria Grazia Daidone

275 papers receiving 14.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Isolation and In vitro Propagation of Tumorigenic Breast Cancer Cells with Stem/Progenitor Cell Properties

2005 1.4k citations Aurora Costa, Nadia Zaffaroni et al. Cancer Research profile →
The Hippo Transducer TAZ Confers Cancer Stem Cell-Related Traits on Breast Cancer Cells

2011 1.0k citations Maria Grazia Daidone et al. profile →
A MicroRNA Targeting Dicer for Metastasis Control

2010 541 citations Maria Grazia Daidone et al. profile →
Human Bone Marrow–Derived Mesenchymal Stem Cells Do Not Undergo Transformation after Long-termIn vitroCulture and Do Not Exhibit Telomere Maintenance Mechanisms

2007 539 citations Nadia Zaffaroni, Maria Grazia Daidone et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Grazia Daidone Italy	59	8.0k	6.2k	5.6k	1.5k	1.4k	279	14.6k
Joyce M. Slingerland United States	60	10.3k 1.3×	8.1k 1.3×	3.0k 0.5×	1.5k 1.0×	1.9k 1.4×	120	15.5k
Peter M. Siegel Canada	53	9.0k 1.1×	7.0k 1.1×	3.6k 0.7×	1.6k 1.0×	1.2k 0.9×	148	14.7k
Edward Gabrielson United States	60	9.9k 1.2×	3.4k 0.6×	3.1k 0.6×	1.9k 1.2×	905 0.7×	135	13.7k
Koshi Mimori Japan	70	11.7k 1.5×	6.1k 1.0×	7.6k 1.4×	2.1k 1.3×	1.2k 0.8×	389	17.9k
Ivan Bièche France	76	11.1k 1.4×	5.9k 1.0×	5.7k 1.0×	2.6k 1.7×	1.5k 1.1×	497	20.2k
Michael J. Duffy Ireland	77	9.0k 1.1×	8.0k 1.3×	7.0k 1.3×	2.8k 1.8×	729 0.5×	264	19.1k
Celina G. Kleer United States	65	9.2k 1.1×	7.9k 1.3×	5.8k 1.0×	1.9k 1.2×	1.1k 0.8×	174	17.2k
Hanina Hibshoosh United States	47	11.1k 1.4×	3.9k 0.6×	4.2k 0.8×	3.8k 2.5×	1.6k 1.2×	166	17.9k
Kwok Wai Lo Hong Kong	65	7.4k 0.9×	6.5k 1.1×	4.4k 0.8×	1.0k 0.7×	484 0.4×	265	14.6k
Jun Yokota Japan	64	11.4k 1.4×	3.6k 0.6×	5.7k 1.0×	2.0k 1.3×	595 0.4×	216	15.2k

Countries citing papers authored by Maria Grazia Daidone

Since Specialization

Citations

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

Fields of papers citing papers by Maria Grazia Daidone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Grazia Daidone. 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 Maria Grazia Daidone. The network helps show where Maria Grazia Daidone may publish in the future.

Co-authorship network of co-authors of Maria Grazia Daidone

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

All Works

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20 of 20 papers shown

Armentaro, Giuseppe, Velia Cassano, Maria Grazia Daidone, et al.. (2023). Effect of semaglutide on global longitudinal strain and global myocardial work efficiency in patients with uncontrolled type 2 diabetes mellitus and obesity. European Heart Journal. 44(Supplement_2). 2 indexed citations

Pizzamiglio, Sara, Giulia Cosentino, Chiara Maura Ciniselli, et al.. (2021). What if the future of HER2‐positive breast cancer patients was written in miRNAs? An exploratory analysis from NeoALTTO study. Cancer Medicine. 11(2). 332–339. 8 indexed citations

Cosimo, Serena Di, Valentina Appierto, Sara Pizzamiglio, et al.. (2019). Plasma miRNA Levels for Predicting Therapeutic Response to Neoadjuvant Treatment in HER2-positive Breast Cancer: Results from the NeoALTTO Trial. Clinical Cancer Research. 25(13). 3887–3895. 46 indexed citations

Melloni, Giorgio, Laura Raddrizzani, P. Rossi, et al.. (2018). PATRI, a Genomics Data Integration Tool for Biomarker Discovery. BioMed Research International. 2018. 1–13. 3 indexed citations

Veneroni, Silvia, Matteo Dugo, Maria Grazia Daidone, et al.. (2016). Applicability of Under Vacuum Fresh Tissue Sealing and Cooling to Omics Analysis of Tumor Tissues. Biopreservation and Biobanking. 14(6). 480–490. 9 indexed citations

Baroni, Sara, Sandra Romero‐Córdoba, Ilaria Plantamura, et al.. (2016). Exosome-mediated delivery of miR-9 induces cancer-associated fibroblast-like properties in human breast fibroblasts. Cell Death and Disease. 7(7). e2312–e2312. 253 indexed citations

Callari, Maurizio, Matteo Dugo, G. Merlino, et al.. (2015). miR-30e* is an independent subtype-specific prognostic marker in breast cancer. British Journal of Cancer. 113(2). 290–298. 36 indexed citations

Stassi, Giorgio, Adriana Cordova, Matilde Todaro, et al.. (2014). By promoting cell differentiation, miR-100 sensitizes basal-like breast cancer stem cells to hormonal therapy. OncoTargets and Therapy. 1 indexed citations

Riegman, Peter, Maria Grazia Daidone, & Angelo Paradiso. (2011). Concluding Remarks: “Biobanking for Cancer Research: Rules and Roles,” November 2010, Bari, Italy. Biopreservation and Biobanking. 9(2). 195–196. 1 indexed citations

10.

Hall, Jacqueline A., Maria Grazia Daidone, Godefridus J. Peters, et al.. (2011). Integrating Collection of Biospecimens in Clinical Trials: The Approach of the European Organization for Research and Treatment of Cancer. Biopreservation and Biobanking. 9(2). 181–186. 10 indexed citations

11.

Callari, Maurizio, Vera Cappelletti, Loris De Cecco, et al.. (2010). Gene expression analysis reveals a different transcriptomic landscape in female and male breast cancer. Breast Cancer Research and Treatment. 127(3). 601–610. 71 indexed citations

12.

Gandellini, Paolo, Marco Folini, Nicole Longoni, et al.. (2009). miR-205 Exerts Tumor-Suppressive Functions in Human Prostate through Down-regulation of Protein Kinase Cε. Cancer Research. 69(6). 2287–2295. 293 indexed citations

13.

Lopergolo, Alessia, Marzia Pennati, Paolo Gandellini, et al.. (2009). Apollon gene silencing induces apoptosis in breast cancer cells through p53 stabilisation and caspase-3 activation. British Journal of Cancer. 100(5). 739–746. 43 indexed citations

14.

Coradini, Danila, Cinzia Pellizzaro, Ignazio Scarlata, et al.. (2006). A novel retinoic/butyric hyaluronan ester for the treatment of acute promyelocytic leukemia: preliminary preclinical results. Leukemia. 20(5). 785–792. 14 indexed citations

15.

Coradini, Danila & Maria Grazia Daidone. (2004). Biomolecular prognostic factors in breast cancer. Current Opinion in Obstetrics & Gynecology. 16(1). 49–55. 45 indexed citations

16.

Paradiso, Angelo, G. Simone, M. De Lena, et al.. (2001). Expression of apoptosis-related markers and clinical outcome in patients with advanced colorectal cancer. British Journal of Cancer. 84(5). 651–658. 29 indexed citations

17.

Daidone, Maria Grazia, Aurora Costa, & Rosella Silvestrini. (2001). Cell proliferation markers in human solid tumors: Assessing their impact in clinical oncology. Methods in cell biology. 64. 359–384. 10 indexed citations

18.

Bearzatto, Alessandra, L. Orlandi, Cinzia De Marco, Maria Grazia Daidone, & Nadia Zaffaroni. (1999). Lack of p21waf1 and p27kip1 protein induction by interferon-α2a in human melanoma cell lines. Melanoma Research. 9(5). 457–464. 5 indexed citations

19.

Daidone, Maria Grazia, Elvira Benini, Barbara Valentinis, et al.. (1996). p53 expression, DNA content and cell proliferation in primary and synchronous metastatic lesions from ovarian surface epithelial-stromal tumours. European Journal of Cancer. 32(8). 1388–1393. 9 indexed citations

20.

Daidone, Maria Grazia, Rosella Silvestrini, & G. Di Fronzo. (1982). Prognostic relevance of cell kinetics, alone or in association with estrogen receptor (ER) status, in operable and advanced breast cancers. Breast Cancer Research and Treatment. 2(3). 1 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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