Maria Molas

1.4k total citations
20 papers, 1.1k citations indexed

About

Maria Molas is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Maria Molas has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Physiology. Recurrent topics in Maria Molas's work include RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers) and Pancreatic function and diabetes (5 papers). Maria Molas is often cited by papers focused on RNA Interference and Gene Delivery (7 papers), Virus-based gene therapy research (5 papers) and Pancreatic function and diabetes (5 papers). Maria Molas collaborates with scholars based in Spain, United States and France. Maria Molas's co-authors include José C. Perales, Richard W. Hanson, Thomas W. Ferkol, Fátima Bosch, Jesús Ruberte, Miquel García, Ramón Bartrons, Carles Roca, Virginia Haurigot and Judith Agudo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Maria Molas

20 papers receiving 1.1k 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 Molas Spain 16 627 384 277 140 115 20 1.1k
Federica Vincenzoni Italy 22 497 0.8× 96 0.3× 241 0.9× 92 0.7× 31 0.3× 64 1.2k
Bjørn Ivar Haukanes Norway 17 593 0.9× 299 0.8× 78 0.3× 75 0.5× 66 0.6× 39 1.2k
Fernand‐Pierre Gendron Canada 23 579 0.9× 168 0.4× 129 0.5× 147 1.1× 25 0.2× 48 1.5k
Alexander V. Skurat United States 23 798 1.3× 333 0.9× 381 1.4× 82 0.6× 30 0.3× 37 1.5k
Tatsuhito Himeno Japan 22 404 0.6× 125 0.3× 260 0.9× 60 0.4× 59 0.5× 64 1.2k
Weidong Yong United States 22 832 1.3× 120 0.3× 133 0.5× 125 0.9× 29 0.3× 39 1.3k
Shinichi Izumi Japan 17 424 0.7× 112 0.3× 87 0.3× 98 0.7× 43 0.4× 51 879
Jenny Linnoila United States 15 336 0.5× 145 0.4× 66 0.2× 238 1.7× 30 0.3× 35 1.4k
Stefanie Weinert Germany 14 883 1.4× 241 0.6× 166 0.6× 84 0.6× 19 0.2× 18 1.3k
Balduino Mastrofrancesco United States 16 329 0.5× 68 0.2× 381 1.4× 84 0.6× 38 0.3× 27 1.2k

Countries citing papers authored by Maria Molas

Since Specialization
Citations

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

Fields of papers citing papers by Maria Molas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Molas

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Molas. A scholar is included among the top collaborators of Maria Molas 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 Molas. Maria Molas 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.
Marcó, Sara, Virginia Haurigot, Albert Ribera, et al.. (2021). Seven-year follow-up of durability and safety of AAV CNS gene therapy for a lysosomal storage disorder in a large animal. Molecular Therapy — Methods & Clinical Development. 23. 370–389. 24 indexed citations
3.
Vilà, Laia, Sylvie Franckhauser, Cristina Mallol, et al.. (2020). Vitamin D Receptor Overexpression in β-Cells Ameliorates Diabetes in Mice. Diabetes. 69(5). 927–939. 37 indexed citations
4.
Motas, Sandra, Virginia Haurigot, Miquel García, et al.. (2016). CNS-directed gene therapy for the treatment of neurologic and somatic mucopolysaccharidosis type II (Hunter syndrome). JCI Insight. 1(9). e86696–e86696. 56 indexed citations
5.
Elias, Ivet, Tura Ferré, Laia Vilà, et al.. (2016). ALOX5AP Overexpression in Adipose Tissue Leads to LXA4 Production and Protection Against Diet-Induced Obesity and Insulin Resistance. Diabetes. 65(8). 2139–2150. 44 indexed citations
6.
Marcó, Sara, Anna Pujol, Carles Roca, et al.. (2016). Progressive neurologic and somatic disease in a novel mouse model of human mucopolysaccharidosis type IIIC. Disease Models & Mechanisms. 9(9). 999–1013. 18 indexed citations
7.
Casellas, Alba, Cristina Mallol, Ariana Salavert, et al.. (2015). Insulin-like Growth Factor 2 Overexpression Induces β-Cell Dysfunction and Increases Beta-cell Susceptibility to Damage. Journal of Biological Chemistry. 290(27). 16772–16785. 45 indexed citations
8.
Ribera, Albert, Virginia Haurigot, Miquel García, et al.. (2014). Biochemical, histological and functional correction of mucopolysaccharidosis Type IIIB by intra-cerebrospinal fluid gene therapy. Human Molecular Genetics. 24(7). 2078–2095. 46 indexed citations
9.
Haurigot, Virginia, Sara Marcó, Albert Ribera, et al.. (2013). Whole body correction of mucopolysaccharidosis IIIA by intracerebrospinal fluid gene therapy. Journal of Clinical Investigation. 123(8). 3254–3271. 176 indexed citations
10.
Molas, Maria, M. Montero, Ana Guelar, et al.. (2012). Prevalence and Factors Associated with Vitamin D Deficiency and Hyperparathyroidism in HIV-Infected Patients Treated in Barcelona. SHILAP Revista de lepidopterología. 2012. 1–5. 7 indexed citations
11.
Agudo, Judith, Miquel Martín, Carles Roca, et al.. (2010). Deficiency of CB2 cannabinoid receptor in mice improves insulin sensitivity but increases food intake and obesity with age. Diabetologia. 53(12). 2629–2640. 104 indexed citations
12.
Muñoz, Sergio, Sylvie Franckhauser, Ivet Elias, et al.. (2010). Chronically increased glucose uptake by adipose tissue leads to lactate production and improved insulin sensitivity rather than obesity in the mouse. Diabetologia. 53(11). 2417–2430. 33 indexed citations
13.
Gómez-Valadés, Alícia G., Anna Vidal‐Alabró, Maria Molas, et al.. (2005). Overcoming Diabetes-Induced Hyperglycemia through Inhibition of Hepatic Phosphoenolpyruvate Carboxykinase (GTP) with RNAi. Molecular Therapy. 13(2). 401–410. 70 indexed citations
14.
Gómez-Valadés, Alícia G., Maria Molas, Anna Vidal‐Alabró, et al.. (2004). Copolymers of poly-l-lysine with serine and tryptophan form stable DNA vectors: implications for receptor-mediated gene transfer. Journal of Controlled Release. 102(1). 277–291. 9 indexed citations
15.
Molas, Maria, Alícia G. Gómez-Valadés, Anna Vidal‐Alabró, et al.. (2003). Receptor-Mediated Gene Transfer Vectors: Progress Towards Genetic Pharmaceuticals. Current Gene Therapy. 3(5). 468–485. 26 indexed citations
17.
Liu, Ge, Maria Molas, Murali K. Pasumarthy, et al.. (2001). Biological Properties of Poly-l-lysine-DNA Complexes Generated by Cooperative Binding of the Polycation. Journal of Biological Chemistry. 276(37). 34379–34387. 121 indexed citations
18.
Perales, José C., Maria Molas, Liu Ge, et al.. (1997). Biochemical and Functional Characterization of DNA Complexes Capable of Targeting Genes to Hepatocytes via the Asialoglycoprotein Receptor. Journal of Biological Chemistry. 272(11). 7398–7407. 111 indexed citations
19.
Perales, José C., Thomas W. Ferkol, Maria Molas, & Richard W. Hanson. (1994). An Evaluation of Receptor‐Mediated Gene Transfer Using Synthetic DNA‐Ligand Complexes. European Journal of Biochemistry. 226(2). 255–266. 123 indexed citations
20.
Espinàs, Josep Alfons, et al.. (1993). [A re-evaluation of the program for diabetes mellitus type 2. A proposal for quality indices].. PubMed. 11(3). 123–6. 7 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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