Maria De Rosa

989 total citations
39 papers, 725 citations indexed

About

Maria De Rosa is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Maria De Rosa has authored 39 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Organic Chemistry and 6 papers in Infectious Diseases. Recurrent topics in Maria De Rosa's work include Chemical Synthesis and Analysis (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Epilepsy research and treatment (4 papers). Maria De Rosa is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Epilepsy research and treatment (4 papers). Maria De Rosa collaborates with scholars based in Italy, Belgium and Sweden. Maria De Rosa's co-authors include Giovanna Li Petri, Hugues Chanteux, Armel Stockis, Federica Durante, Cristina Baldissarri, Marcello Gallucci, Roberta Rosa Valtorta, Alessandro Gabbiadini, Serena Pasquini and Claudia Mugnaini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and International Journal of Molecular Sciences.

In The Last Decade

Maria De Rosa

38 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria De Rosa Italy 15 254 200 109 107 87 39 725
Andrea Bovero Italy 19 351 1.4× 301 1.5× 44 0.4× 31 0.3× 63 0.7× 51 1.2k
Richard Thomas United States 19 354 1.4× 493 2.5× 59 0.5× 127 1.2× 41 0.5× 69 1.5k
Alex L. Harris United States 20 597 2.4× 159 0.8× 62 0.6× 82 0.8× 25 0.3× 35 1.2k
Ian T. Crosby Australia 17 348 1.4× 215 1.1× 138 1.3× 120 1.1× 28 0.3× 47 889
Mingwei Sun China 21 524 2.1× 95 0.5× 30 0.3× 189 1.8× 14 0.2× 62 1.2k
Yue Dong China 16 245 1.0× 61 0.3× 36 0.3× 74 0.7× 15 0.2× 55 885
Kumaraswamy Naidu Chitrala United States 13 344 1.4× 179 0.9× 23 0.2× 96 0.9× 42 0.5× 45 735
Bertrand Diquet France 18 264 1.0× 38 0.2× 39 0.4× 94 0.9× 57 0.7× 52 1.0k
Hui-Ju Chen Taiwan 10 240 0.9× 71 0.4× 18 0.2× 43 0.4× 42 0.5× 33 676
Sunil Aggarwal United States 16 137 0.5× 94 0.5× 59 0.5× 308 2.9× 75 0.9× 59 724

Countries citing papers authored by Maria De Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Maria De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria De Rosa

This figure shows the co-authorship network connecting the top 25 collaborators of Maria De Rosa. A scholar is included among the top collaborators of Maria De Rosa 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 De Rosa. Maria De Rosa 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.
Rosa, Maria De, et al.. (2025). Applications of Bridgehead Heterocycles in Drug Design and Medicinal Chemistry. Topics in Current Chemistry. 383(2). 16–16. 1 indexed citations
2.
3.
Coronnello, Claudia, et al.. (2021). Support Vector Machine as a Supervised Learning for the Prioritization of Novel Potential SARS-CoV-2 Main Protease Inhibitors. International Journal of Molecular Sciences. 22(14). 7714–7714. 17 indexed citations
4.
5.
Gabbiadini, Alessandro, Cristina Baldissarri, Federica Durante, et al.. (2020). Together Apart: The Mitigating Role of Digital Communication Technologies on Negative Affect During the COVID-19 Outbreak in Italy. Frontiers in Psychology. 11. 554678–554678. 103 indexed citations
6.
Rosa, Maria De. (2020). A santidade no Portugal medieval: narrativas e trajectos de vida. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Rosa, Maria De, Daniela Carbone, Barbara Parrino, et al.. (2020). Dynamic‐shared Pharmacophore Approach as Tool to Design New Allosteric PRC2 Inhibitors, Targeting EED Binding Pocket. Molecular Informatics. 40(2). e2000148–e2000148. 1 indexed citations
8.
Perricone, Ugo, et al.. (2020). Targeting SARS‐CoV‐2 RBD Interface: a Supervised Computational Data‐Driven Approach to Identify Potential Modulators. ChemMedChem. 15(20). 1921–1931. 6 indexed citations
9.
Rosa, Maria De, et al.. (2019). In Silico Insights towards the Identification of NLRP3 Druggable Hot Spots. International Journal of Molecular Sciences. 20(20). 4974–4974. 22 indexed citations
10.
Caroleo, Maria Cristina, Antonella Brizzi, Maria De Rosa, et al.. (2019). Targeting Neuropathic Pain: Pathobiology, Current Treatment and Peptidomimetics as a New Therapeutic Opportunity. Current Medicinal Chemistry. 27(9). 1469–1500. 2 indexed citations
11.
Stockis, Armel, Hugues Chanteux, Maria De Rosa, & Paul Rolan. (2015). Brivaracetam and carbamazepine interaction in healthy subjects and in vitro. Epilepsy Research. 113. 19–27. 43 indexed citations
12.
Rosa, Maria De, et al.. (2014). Altmetrics in Institutional Repositories: New Perspectives for Assessing Research Impact. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 13. 5 indexed citations
13.
Rosa, Maria De, Johan Gising, Luke R. Odell, & Mats Larhed. (2014). Syntheses of new tuberculosis inhibitors promoted by microwave irradiation. Upsala Journal of Medical Sciences. 119(2). 181–191. 4 indexed citations
14.
Chanteux, Hugues, Maria De Rosa, Claude Delatour, et al.. (2013). In Vitro Hydrolysis and Transesterification of CDP323, an α4β1/α4β7 Integrin Antagonist Ester Prodrug. Drug Metabolism and Disposition. 42(1). 153–161. 11 indexed citations
15.
Guerrini, Valentina, Maria De Rosa, Serena Pasquini, et al.. (2013). New fluoroquinolones active against fluoroquinolones-resistant Mycobacterium tuberculosis strains. Tuberculosis. 93(4). 405–411. 11 indexed citations
16.
Pasquini, Serena, Maria De Rosa, Alessia Ligresti, et al.. (2012). Investigations on the 4-quinolone-3-carboxylic acid motif. 6. Synthesis and pharmacological evaluation of 7-substituted quinolone-3-carboxamide derivatives as high affinity ligands for cannabinoid receptors. European Journal of Medicinal Chemistry. 58. 30–43. 21 indexed citations
17.
Chanteux, Hugues, et al.. (2012). Effect of Gemfibrozil on the Metabolism of Brivaracetam In Vitro and in Human Subjects. Drug Metabolism and Disposition. 40(8). 1466–1472. 35 indexed citations
18.
Mugnaini, Claudia, Chiara Falciani, Maria De Rosa, et al.. (2011). Regioselective functionalization of quinolin-4(1H)-ones via sequential palladium-catalyzed reactions. Tetrahedron. 67(32). 5776–5783. 20 indexed citations
19.
Rosa, Maria De, et al.. (2007). The medium is the message: Glycosphingolipids and their soluble analogues. Biochimica et Biophysica Acta (BBA) - General Subjects. 1780(3). 347–352. 9 indexed citations
20.
Rosa, Maria De, et al.. (2006). Treatment of neutral glycosphingolipid lysosomal storage diseases via inhibition of the ABC drug transporter, MDR1. FEBS Journal. 273(9). 2064–2075. 17 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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