Laìa Masvidal

887 total citations
17 papers, 552 citations indexed

About

Laìa Masvidal is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Laìa Masvidal has authored 17 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Genetics. Recurrent topics in Laìa Masvidal's work include RNA modifications and cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cystic Fibrosis Research Advances (3 papers). Laìa Masvidal is often cited by papers focused on RNA modifications and cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cystic Fibrosis Research Advances (3 papers). Laìa Masvidal collaborates with scholars based in Sweden, Spain and Canada. Laìa Masvidal's co-authors include Ola Larsson, Ivan Topisirović, Luc Furic, Julie Lorent, Laura Hulea, Shuo Liang, Vincent van Hoef, Shannon McLaughlan, Preetika Balanathan and Valentina Gandin and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Blood.

In The Last Decade

Laìa Masvidal

15 papers receiving 550 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laìa Masvidal Sweden 11 340 152 89 56 55 17 552
Gemma Nock United Kingdom 5 288 0.8× 157 1.0× 87 1.0× 51 0.9× 42 0.8× 6 485
Jane Antony United States 10 207 0.6× 165 1.1× 185 2.1× 79 1.4× 31 0.6× 16 448
Flávia Raquel Gonçalves Carneiro Brazil 8 291 0.9× 95 0.6× 48 0.5× 46 0.8× 32 0.6× 15 411
Yi Fu United States 9 435 1.3× 156 1.0× 50 0.6× 51 0.9× 45 0.8× 11 558
Sigal B. Kofman United States 4 367 1.1× 257 1.7× 115 1.3× 93 1.7× 66 1.2× 6 629
Maja Studencka‐Turski Germany 13 332 1.0× 93 0.6× 68 0.8× 36 0.6× 59 1.1× 16 479
Maria Riedel Denmark 12 295 0.9× 107 0.7× 81 0.9× 47 0.8× 20 0.4× 15 473
Charlotte Hellmich United Kingdom 11 320 0.9× 139 0.9× 80 0.9× 121 2.2× 76 1.4× 30 587
Byungki Jang South Korea 14 299 0.9× 145 1.0× 56 0.6× 58 1.0× 51 0.9× 24 534
Qiong Fan China 15 275 0.8× 112 0.7× 93 1.0× 136 2.4× 59 1.1× 37 535

Countries citing papers authored by Laìa Masvidal

Since Specialization
Citations

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

Fields of papers citing papers by Laìa Masvidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laìa Masvidal

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

All Works

17 of 17 papers shown
1.
Göransson, Sara, Helene Olofsson, Henrik J. Johansson, et al.. (2025). Mechanical control of breast cancer malignancy by promotion of mevalonate pathway enzyme synthesis. Matrix Biology. 140. 1–15.
2.
Watt, Kathleen, Bianca Dauber, Krzysztof J. Szkop, et al.. (2025). Epigenetic alterations facilitate transcriptional and translational programs in hypoxia. Nature Cell Biology. 27(11). 1965–1981.
3.
Masvidal, Laìa, Julie Lorent, Tyson E. Graber, et al.. (2020). Translational profiling of macrophages infected with Leishmania donovani identifies mTOR- and eIF4A-sensitive immune-related transcripts. PLoS Pathogens. 16(6). e1008291–e1008291. 21 indexed citations
4.
Masvidal, Laìa, Carl Murie, Margarita Bartish, et al.. (2019). Distinct Cancer-Promoting Stromal Gene Expression Depending on Lung Function. American Journal of Respiratory and Critical Care Medicine. 200(3). 348–358. 18 indexed citations
5.
Wendt, Chris H., Laìa Masvidal, Carl Murie, et al.. (2018). Chronic Obstructive Pulmonary Disease Phenotype Dictates Cancer-Promoting Stromal Gene Expression Programs. Annals of the American Thoracic Society. 15(Supplement_4). S290–S291. 1 indexed citations
6.
Lorent, Julie, Tyson E. Graber, Laìa Masvidal, et al.. (2018). The Protozoan Parasite Toxoplasma gondii Selectively Reprograms the Host Cell Translatome. Infection and Immunity. 86(9). 22 indexed citations
7.
Liang, Shuo, Julie Lorent, Christian Oertlin, et al.. (2017). Polysome-profiling in small tissue samples. Nucleic Acids Research. 46(1). e3–e3. 46 indexed citations
8.
Masvidal, Laìa, Laura Hulea, Luc Furic, Ivan Topisirović, & Ola Larsson. (2017). mTOR-sensitive translation: Cleared fog reveals more trees. RNA Biology. 14(10). 1299–1305. 50 indexed citations
9.
Gandin, Valentina, Laìa Masvidal, Marie Cargnello, et al.. (2016). mTORC1 and CK2 coordinate ternary and eIF4F complex assembly. Nature Communications. 7(1). 11127–11127. 73 indexed citations
10.
Mao, Yumeng, Vincent van Hoef, Xiaonan Zhang, et al.. (2016). IL-15 activates mTOR and primes stress-activated gene expression leading to prolonged antitumor capacity of NK cells. Blood. 128(11). 1475–1489. 121 indexed citations
11.
Gandin, Valentina, Laìa Masvidal, Laura Hulea, et al.. (2016). nanoCAGE reveals 5′ UTR features that define specific modes of translation of functionally related MTOR-sensitive mRNAs. Genome Research. 26(5). 636–648. 144 indexed citations
12.
Masvidal, Laìa, Raquel Iniesta, Marta García, et al.. (2016). Genetic variants in the promoter region of the calcium‐sensing receptor gene are associated with its down‐regulation in neuroblastic tumors. Molecular Carcinogenesis. 56(4). 1281–1289. 10 indexed citations
13.
Masvidal, Laìa, Susana Igreja, María Dolores Burguete Ramos, et al.. (2013). Assessing the residual CFTR gene expression in human nasal epithelium cells bearing CFTR splicing mutations causing cystic fibrosis. European Journal of Human Genetics. 22(6). 784–791. 21 indexed citations
14.
Masvidal, Laìa, Raquel Revuelta Iniesta, Patricia Galván, et al.. (2013). Polymorphisms in the Calcium-Sensing Receptor Gene Are Associated with Clinical Outcome of Neuroblastoma. PLoS ONE. 8(3). e59762–e59762. 11 indexed citations
15.
Masvidal, Laìa, et al.. (2012). GUSB and ATP2B4 are suitable reference genes for CFTR gene expression data normalization in nasal epithelium cells. Journal of Cystic Fibrosis. 11(5). 398–404. 4 indexed citations
16.
Ramos, María Dolores Burguete, Laìa Masvidal, Javier Giménez, et al.. (2010). CFTR Rearrangements in Spanish Cystic Fibrosis Patients: First New Duplication (35kb) Characterised in the Mediterranean Countries. Annals of Human Genetics. 74(5). 463–469. 7 indexed citations
17.
Masvidal, Laìa, Javier Giménez, María Dolores Burguete Ramos, et al.. (2009). The p.Arg258Gly Mutation in Intracellular Loop 2 of CFTR is Associated with CFTR -Related Disorders. Genetic Testing and Molecular Biomarkers. 13(6). 765–768. 3 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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