Maria Ravo

2.6k total citations
55 papers, 1.9k citations indexed

About

Maria Ravo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Maria Ravo has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 25 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Maria Ravo's work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and RNA Research and Splicing (11 papers). Maria Ravo is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and RNA Research and Splicing (11 papers). Maria Ravo collaborates with scholars based in Italy, United States and Finland. Maria Ravo's co-authors include Alessandro Weisz, Roberta Tarallo, Giorgio Giurato, Giovanni Nassa, Francesca Rizzo, Luigi Cicatiello, Lorenzo Ferraro, Giovanna Marchese, Margherita Mutarelli and Angela Cordella and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Maria Ravo

53 papers receiving 1.9k citations

Peers

Maria Ravo

GENET

ONCOL

Sandra Schneider Germany

Alexey A. Larionov United Kingdom

Marius Gheorghe Norway

Jeong‐Hyeon Choi United States

Casper Shyr Canada

Zhen‐Bo Wang China

R. Krishna Murthy Karuturi Singapore

Damir Baranas̆ić United Kingdom

Lenora W. M. Loo United States

Sandra Schneider Germany

Maria Ravo

1.1k ×0.9

361 ×0.6

394 ×1.1

GENET

269 ×0.9

ONCOL

137 ×0.6

Citations per year, relative to Maria Ravo Maria Ravo (= 1×) peers Sandra Schneider

Countries citing papers authored by Maria Ravo

Since Specialization

Citations

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

Fields of papers citing papers by Maria Ravo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ravo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Napolitano, Filomena, Gianmarco Abbadessa, Maria Ravo, et al.. (2025). Serum miRNAs as biomarkers in Neurofibromatosis 1: New promising findings. Journal of the Neurological Sciences. 476. 123643–123643. 1 indexed citations

Salemi, Michele, Maria Ravo, Giuseppe Lanza, et al.. (2024). Gene Expression Profiling of Post Mortem Midbrain of Parkinson’s Disease Patients and Healthy Controls. International Journal of Molecular Sciences. 25(2). 707–707. 6 indexed citations

Senese, Rosalba, Francesco Manfrevola, Nicola Mosca, et al.. (2024). A landscape of mouse mitochondrial small non-coding RNAs. PLoS ONE. 19(1). e0293644–e0293644.

Mogavero, Maria P., Michele Salemi, Giuseppe Lanza, et al.. (2024). Unveiling the pathophysiology of restless legs syndrome through transcriptome analysis. iScience. 27(4). 109568–109568. 17 indexed citations

Montico, Barbara, Annunziata Nigro, María Julia Lamberti, et al.. (2023). Phospholipid scramblase 1 is involved in immunogenic cell death and contributes to dendritic cell–based vaccine efficiency to elicit antitumor immune response in vitro. Cytotherapy. 26(2). 145–156. 2 indexed citations

Salemi, Michele, Giovanna Marchese, Giuseppe Lanza, et al.. (2022). Role and Dysregulation of miRNA in Patients with Parkinson’s Disease. International Journal of Molecular Sciences. 24(1). 712–712. 24 indexed citations

Salemi, Michele, Giuseppe Lanza, Maria P. Mogavero, et al.. (2022). A Transcriptome Analysis of mRNAs and Long Non-Coding RNAs in Patients with Parkinson’s Disease. International Journal of Molecular Sciences. 23(3). 1535–1535. 21 indexed citations

Salemi, Michele, Rossella Cannarella, Giovanna Marchese, et al.. (2021). CCR3 gene overexpression in patients with Down syndrome. Molecular Biology Reports. 48(6). 5335–5338. 2 indexed citations

Salemi, Michele, Rossella Cannarella, Giovanna Marchese, et al.. (2021). Role of long non-coding RNAs in Down syndrome patients: a transcriptome analysis study. Human Cell. 34(6). 1662–1670. 5 indexed citations

10.

Alexandrova, Elena, Giorgio Giurato, Jessica Lamberti, et al.. (2019). Interaction Proteomics Identifies ERbeta Association with Chromatin Repressive Complexes to Inhibit Cholesterol Biosynthesis and Exert An Oncosuppressive Role in Triple-negative Breast Cancer. Molecular & Cellular Proteomics. 19(2). 245–260. 20 indexed citations

11.

Nassa, Giovanni, Giorgio Giurato, Giovanni Cimmino, et al.. (2018). Splicing of platelet resident pre-mRNAs upon activation by physiological stimuli results in functionally relevant proteome modifications. Scientific Reports. 8(1). 498–498. 58 indexed citations

12.

Pibiri, Monica, Pia Sulas, Vera P. Leoni, et al.. (2015). Global gene expression profile of normal and regenerating liver in young and old mice. AGE. 37(3). 9796–9796. 23 indexed citations

13.

Scafoglio, Claudio, Antonio Rinaldi, Domenico Memoli, et al.. (2015). Estrogen receptor beta impacts hormone-induced alternative mRNA splicing in breast cancer cells. BMC Genomics. 16(1). 367–367. 25 indexed citations

14.

Miglino, Nicola, Elena Alexandrova, Adnan Hashim, et al.. (2014). Differential expression profile of miRNAs and piRNAs in asthmatic and non-asthmatic bronchial smooth muscle cells reveals new possible biomarkers for complex lung diseases. European Respiratory Journal. 44(Suppl 58). 398–398. 1 indexed citations

15.

Nassa, Giovanni, Roberta Tarallo, Giorgio Giurato, et al.. (2014). Post-transcriptional Regulation of Human Breast Cancer Cell Proteome by Unliganded Estrogen Receptor β via microRNAs. Molecular & Cellular Proteomics. 13(4). 1076–1090. 33 indexed citations

16.

Filippo, Maria Rosaria De, Francesca Rizzo, Giovanna Marchese, et al.. (2013). Lack of pathogenic mutations in six patients with MMPSI. Epilepsy Research. 108(2). 340–344. 9 indexed citations

17.

Ambrosino, Concetta, Roberta Tarallo, Danila Cuomo, et al.. (2010). Identification of a Hormone-regulated Dynamic Nuclear Actin Network Associated with Estrogen Receptor α in Human Breast Cancer Cell Nuclei. Molecular & Cellular Proteomics. 9(6). 1352–1367. 57 indexed citations

18.

Nassa, Giovanni, Roberta Tarallo, Pietro Hiram Guzzi, et al.. (2010). Comparative analysis of nuclear estrogen receptor alpha and beta interactomes in breast cancer cells. Molecular BioSystems. 7(3). 667–676. 30 indexed citations

19.

Candi, Eleonora, Bing Hu, Diletta Dolfini, et al.. (2010). The p63 target HBP1 is required for skin differentiation and stratification. Cell Death and Differentiation. 17(12). 1896–1907. 18 indexed citations

20.

Mutarelli, Margherita, Luigi Cicatiello, Lorenzo Ferraro, et al.. (2008). Time-course analysis of genome-wide gene expression data from hormone-responsive human breast cancer cells. BMC Bioinformatics. 9(S2). S12–S12. 97 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.

Explore authors with similar magnitude of impact