Maria Scatolini

798 total citations
24 papers, 589 citations indexed

About

Maria Scatolini is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Maria Scatolini has authored 24 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Maria Scatolini's work include Melanoma and MAPK Pathways (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and Molecular Biology Techniques and Applications (3 papers). Maria Scatolini is often cited by papers focused on Melanoma and MAPK Pathways (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and Molecular Biology Techniques and Applications (3 papers). Maria Scatolini collaborates with scholars based in Italy, United Kingdom and Switzerland. Maria Scatolini's co-authors include Giovanna Chiorino, Enrico Grosso, Tiziana Vaisitti, Alberto Pisacane, Paola Omedè, Dimitar G. Efremov, Ozren Jakšić, Fabio Malavasi, L Bergui and Tiziana Venesio and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Cell Biology and Blood.

In The Last Decade

Maria Scatolini

22 papers receiving 581 citations

Peers

Maria Scatolini

ONCOL

IMMUN

GENET

Kaida Wu United States

Ivana Catacchio Italy

Ernesto Díaz-Flores United States

José La Rose Canada

Juan M. Funes United Kingdom

Johanna Melo‐Cardenas United States

Ee Lyn Lim United Kingdom

Evelina Martinenaite Denmark

Antreas Hindoyan United States

Sarah Ogilvy Australia

Kaida Wu United States

Maria Scatolini

527 ×1.7

295 ×1.3

ONCOL

131 ×0.9

IMMUN

135 ×1.1

GENET

52 ×0.4

Citations per year, relative to Maria Scatolini Maria Scatolini (= 1×) peers Kaida Wu

Countries citing papers authored by Maria Scatolini

Since Specialization

Citations

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

Fields of papers citing papers by Maria Scatolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Scatolini

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Scatolini. A scholar is included among the top collaborators of Maria Scatolini 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 Scatolini. Maria Scatolini 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

Baldassarre, Gustavo, Gabriella Cirmena, Dario de Biase, et al.. (2025). Liquid biopsy in prostate cancer: A multidisciplinary expert consensus statement. Tumori Journal. 111(6). 496–505.

Puglisi, Soraya, Serena Palmieri, Enrico Grosso, et al.. (2025). Germline targeted next-generation sequencing in patients with adrenal incidentalomas. Frontiers in Endocrinology. 16. 1685220–1685220.

Scatolini, Maria, Salvatore Grisanti, Enrico Grosso, et al.. (2024). Germline NGS targeted analysis in adult patients with sporadic adrenocortical carcinoma. European Journal of Cancer. 205. 114088–114088. 4 indexed citations

Ostano, Paola, Maurizia Mello‐Grand, Ilaria Gregnanin, et al.. (2022). Identification of a minimum number of genes to predict triple-negative breast cancer subgroups from gene expression profiles. Human Genomics. 16(1). 70–70. 3 indexed citations

Abate, Andrea, Elisa Rossini, Marta Laganà, et al.. (2021). Ribociclib Cytotoxicity Alone or Combined With Progesterone and/or Mitotane in in Vitro Adrenocortical Carcinoma Cells. Endocrinology. 163(2). 11 indexed citations

Scatolini, Maria, Ankit Patel, Enrico Grosso, et al.. (2021). GJB5 association with BRAF mutation and survival in cutaneous malignant melanoma. British Journal of Dermatology. 186(1). 117–128. 9 indexed citations

Patel, Ankit, Luke Gammon, Tania Maffucci, et al.. (2020). Targeting p63 Upregulation Abrogates Resistance to MAPK Inhibitors in Melanoma. Cancer Research. 80(12). 2676–2688. 18 indexed citations

Samà, Maria Teresa, Enrico Grosso, Chiara Mele, et al.. (2020). Molecular characterisation and clinical correlation of papillary thyroid microcarcinoma. Endocrine. 71(1). 149–157. 14 indexed citations

Poli, Roberta, Maria Scatolini, Enrico Grosso, et al.. (2020). Malignant struma ovarii: next-generation sequencing of six cases revealed Nras, Braf, and Jak3 mutations. Endocrine. 71(1). 216–224. 17 indexed citations

10.

Lefort, Karine, Paola Ostano, Maurizia Mello‐Grand, et al.. (2016). Dual tumor suppressing and promoting function of Notch1 signaling in human prostate cancer. Oncotarget. 7(30). 48011–48026. 27 indexed citations

11.

Borsotti, Patrizia, Carmen Ghilardi, Paola Ostano, et al.. (2014). Thrombospondin‐1 is part of a Slug‐independent motility and metastatic program in cutaneous melanoma, in association with VEGFR‐1 and FGF‐2. Pigment Cell & Melanoma Research. 28(1). 73–81. 42 indexed citations

12.

Chikh, Anissa, David Mesher, Valentina Senatore, et al.. (2013). p63 is an alternative p53 repressor in melanoma that confers chemoresistance and a poor prognosis. The Journal of Cell Biology. 200(5). i11–i11. 3 indexed citations

13.

Cutrupi, Santina, Enrico Grosso, Livia Caizzi, et al.. (2012). Targeting of the adaptor protein Tab2 as a novel approach to revert tamoxifen resistance in breast cancer cells. Oncogene. 31(40). 4353–4361. 25 indexed citations

14.

Ghimenti, Chiara, Maurizia Mello‐Grand, Enrico Grosso, et al.. (2012). Regulation of aromatase expression in breast cancer treated with anastrozole neoadjuvant therapy. Experimental and Therapeutic Medicine. 5(3). 902–906. 14 indexed citations

15.

Mello‐Grand, Maurizia, Vijay Singh, Chiara Ghimenti, et al.. (2010). Gene expression profiling and prediction of response to hormonal neoadjuvant treatment with anastrozole in surgically resectable breast cancer. Breast Cancer Research and Treatment. 121(2). 399–411. 36 indexed citations

16.

Scatolini, Maria, Enrico Grosso, Tiziana Venesio, et al.. (2009). Altered molecular pathways in melanocytic lesions. International Journal of Cancer. 126(8). 1869–1881. 60 indexed citations

17.

Azzimonti, Barbara, Valentina Dell’Oste, Cinzia Borgogna, et al.. (2009). The epithelial–mesenchymal transition induced by keratinocyte growth conditions is overcome by E6 and E7 from HPV16, but not HPV8 and HPV38: Characterization of global transcription profiles. Virology. 388(2). 260–269. 12 indexed citations

18.

Brusa, Davide, Stefano Garetto, Giovanna Chiorino, et al.. (2008). Post-apoptotic tumors are more palatable to dendritic cells and enhance their antigen cross-presentation activity. Vaccine. 26(50). 6422–6432. 48 indexed citations

19.

Venesio, Tiziana, Giovanna Chiorino, Antonella Balsamo, et al.. (2008). In melanocytic lesions the fraction of BRAFV600E alleles is associated with sun exposure but unrelated to ERK phosphorylation. Modern Pathology. 21(6). 716–726. 36 indexed citations

20.

Chiorino, Giovanna, et al.. (2008). From single gene to integrative molecular concept MAPS: pitfalls and potentials of microarray technology.. PubMed. 22(1). 7–16. 12 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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