Anna Maria Pinto

12.0k total citations · 1 hit paper
39 papers, 7.3k citations indexed

About

Anna Maria Pinto is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Anna Maria Pinto has authored 39 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Surgery. Recurrent topics in Anna Maria Pinto's work include Cell Adhesion Molecules Research (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Anna Maria Pinto is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), RNA modifications and cancer (7 papers) and RNA Research and Splicing (6 papers). Anna Maria Pinto collaborates with scholars based in Italy, United States and United Kingdom. Anna Maria Pinto's co-authors include Gideon Dreyfuss, Lili Wan, Ihab Younis, Chie Arai, Chao Di, Jung‐Min Oh, Byung Ran So, Zhiqiang Cai, Jingqi Duan and Zhenxi Zhang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Anna Maria Pinto

38 papers receiving 7.2k citations

Hit Papers

U1 snRNP regulates cancer cell migration and invasion in ... 2020 2026 2022 2024 2020 1000 2.0k 3.0k 4.0k 5.0k

Peers

Anna Maria Pinto
Ihab Younis United States
Byung Ran So United States
Lili Wan China
Chao Di China
Ihab Younis United States
Anna Maria Pinto
Citations per year, relative to Anna Maria Pinto Anna Maria Pinto (= 1×) peers Ihab Younis

Countries citing papers authored by Anna Maria Pinto

Since Specialization
Citations

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

Fields of papers citing papers by Anna Maria Pinto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Maria Pinto

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

All Works

20 of 20 papers shown
1.
Daga, Sergio, Kristina Zguro, Sergio Tripodi, et al.. (2024). Slowly progressive autosomal dominant Alport Syndrome due to COL4A3 splicing variant. European Journal of Human Genetics. 33(4). 461–467.
2.
Palmieri, Maria, Chiara Fallerini, Francesca Ariani, et al.. (2023). Case report: PIK3CA somatic mutation leading to Klippel Trenaunay Syndrome and multiple tumors. Frontiers in Genetics. 14. 1213283–1213283. 2 indexed citations
3.
Khan, Amjad, Fadhel A. Alomar, Muhammad Umair, et al.. (2022). SPTBN5, Encoding the βV-Spectrin Protein, Leads to a Syndrome of Intellectual Disability, Developmental Delay, and Seizures. Frontiers in Molecular Neuroscience. 15. 877258–877258. 11 indexed citations
4.
Savige, Judy, Alessandra Renieri, Elisabet Ars, et al.. (2022). Digenic Alport Syndrome. Clinical Journal of the American Society of Nephrology. 17(11). 1697–1706. 27 indexed citations
5.
Croci, Susanna, Miriam Lucia Carriero, Katia Capitani, et al.. (2020). High rate of HDR in gene editing of p.(Thr158Met) MECP2 mutational hotspot. European Journal of Human Genetics. 28(9). 1231–1242. 14 indexed citations
6.
Currò, Aurora, Gabriella Doddato, Mirella Bruttini, et al.. (2020). CDKL5 mutations may mimic Pitt-Hopkins syndrome phenotype. European Journal of Medical Genetics. 64(1). 104102–104102. 1 indexed citations
7.
Palmieri, Maria, Aurora Currò, Andrea Tommasi, et al.. (2020). Cell-free DNA next-generation sequencing liquid biopsy as a new revolutionary approach for arteriovenous malformation. SHILAP Revista de lepidopterología. 1. 176–180. 22 indexed citations
8.
Palmieri, Maria, Laura Di Sarno, Andrea Tommasi, et al.. (2020). MET somatic activating mutations are responsible for lymphovenous malformation and can be identified using cell-free DNA next generation sequencing liquid biopsy. Journal of Vascular Surgery Venous and Lymphatic Disorders. 9(3). 740–744. 6 indexed citations
9.
Oh, Jung‐Min, Chao Di, Anna Maria Pinto, et al.. (2020). U1 snRNP regulates cancer cell migration and invasion in vitro. Nature Communications. 11(1). 1–1. 5945 indexed citations breakdown →
10.
Daga, Sergio, Francesco Donati, Katia Capitani, et al.. (2019). New frontiers to cure Alport syndrome: COL4A3 and COL4A5 gene editing in podocyte-lineage cells. European Journal of Human Genetics. 28(4). 480–490. 30 indexed citations
11.
Daga, Sergio, Chiara Fallerini, Simone Furini, et al.. (2019). Non-collagen genes role in digenic Alport syndrome. BMC Nephrology. 20(1). 70–70. 14 indexed citations
12.
Pinto, Anna Maria, Eva Trevisson, Valeria Morbidoni, et al.. (2018). Parent-of-origin effect of hypomorphic pathogenic variants and somatic mosaicism impact on phenotypic expression of retinoblastoma. European Journal of Human Genetics. 26(7). 1026–1037. 16 indexed citations
13.
Pinto, Anna Maria, Laura Bianciardi, Maria Antonietta Mencarelli, et al.. (2016). Exome sequencing analysis in a pair of monozygotic twins re-evaluates the genetics behind their intellectual disability and reveals a CHD2 mutation. Brain and Development. 38(6). 590–596. 12 indexed citations
14.
Zhang, Zhenxi, Anna Maria Pinto, Lili Wan, et al.. (2013). Dysregulation of synaptogenesis genes antecedes motor neuron pathology in spinal muscular atrophy. Proceedings of the National Academy of Sciences. 110(48). 19348–19353. 148 indexed citations
15.
Berg, Michael G., Larry N. Singh, Ihab Younis, et al.. (2012). U1 snRNP Determines mRNA Length and Regulates Isoform Expression. Cell. 150(1). 53–64. 357 indexed citations
16.
Pinto, Anna Maria, Roberto Franchini, Rakefet Czerninski, et al.. (2011). Genetics/epigenetics of oral premalignancy: current status and future research*. Oral Diseases. 17(s1). 7–22. 94 indexed citations
17.
Tiziano, Francesco Danilo, Anna Maria Pinto, Sonia Messina, et al.. (2010). Salbutamol increases survival motor neuron (SMN) transcript levels in leucocytes of spinal muscular atrophy (SMA) patients: relevance for clinical trial design. Journal of Medical Genetics. 47(12). 856–858. 58 indexed citations
18.
Tiziano, Francesco Danilo, Anna Maria Pinto, Stefania Fiori, et al.. (2009). SMN transcript levels in leukocytes of SMA patients determined by absolute real-time PCR. European Journal of Human Genetics. 18(1). 52–58. 42 indexed citations
19.
Gervasini, Cristina, Paola Castronovo, Angela Bentivegna, et al.. (2007). High frequency of mosaic CREBBP deletions in Rubinstein–Taybi syndrome patients and mapping of somatic and germ-line breakpoints. Genomics. 90(5). 567–573. 34 indexed citations
20.
Giannini, Alberto, Anna Maria Pinto, Edi Prandi, et al.. (2006). Respiratory failure in infants due to spinal muscular atrophy with respiratory distress type 1. Intensive Care Medicine. 32(11). 1851–1855. 28 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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