Roser Rosales

678 total citations
21 papers, 459 citations indexed

About

Roser Rosales is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Roser Rosales has authored 21 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Roser Rosales's work include Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipid metabolism and disorders (4 papers). Roser Rosales is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipid metabolism and disorders (4 papers). Roser Rosales collaborates with scholars based in Spain, Austria and Italy. Roser Rosales's co-authors include L. Masana, Joan-Carles Vallvé, Josefa Girona, Josep Ribalta, Rosa Solà, Núria Plana, Anna Anguera, Paula Saavedra-García, Daiana Ibarretxe and Montse Guardiola and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Roser Rosales

18 papers receiving 455 citations

Peers

Roser Rosales
Hui‐Li Lin Taiwan
Kyung-Hee Hong South Korea
Arul M. Mani United States
Nicole Bertin Italy
Zhen Ni China
Ping Ren China
V. Vallet France
Xiangdong Yang China
Mike L. J. Jeurissen Netherlands
Mingyue Rao China
Hui‐Li Lin Taiwan
Roser Rosales
Citations per year, relative to Roser Rosales Roser Rosales (= 1×) peers Hui‐Li Lin

Countries citing papers authored by Roser Rosales

Since Specialization
Citations

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

Fields of papers citing papers by Roser Rosales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roser Rosales

This figure shows the co-authorship network connecting the top 25 collaborators of Roser Rosales. A scholar is included among the top collaborators of Roser Rosales 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 Roser Rosales. Roser Rosales 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.
Ibarretxe, Daiana, Roser Rosales, Josefa Girona, et al.. (2024). Enhanced Association of Novel Cardiovascular Biomarkers Fetuin-A and Catestatin with Serological and Inflammatory Markers in Rheumatoid Arthritis Patients. International Journal of Molecular Sciences. 25(18). 9910–9910. 4 indexed citations
2.
Girona, Josefa, Montse Guardiola, Núria Amigó, et al.. (2024). ApoC-III proteoforms are associated with better lipid, inflammatory, and glucose profiles independent of total apoC-III. Cardiovascular Diabetology. 23(1). 433–433.
3.
Ibarretxe, Daiana, et al.. (2024). Angiopoietin-2, vascular endothelial growth factor family, and heparin binding endothelial growth factor are associated with subclinical atherosclerosis in rheumatoid arthritis. Computational and Structural Biotechnology Journal. 23. 1680–1688. 3 indexed citations
4.
Girona, Josefa, Montse Guardiola, Núria Plana, et al.. (2023). PCSK9 Inhibitors Have Apolipoprotein C-III-Related Anti-Inflammatory Activity, Assessed by 1H-NMR Glycoprotein Profile in Subjects at High or very High Cardiovascular Risk. International Journal of Molecular Sciences. 24(3). 2319–2319. 7 indexed citations
5.
Rodríguez‐Calvo, Ricardo, Núria Plana, Núria Amigó, et al.. (2023). Lipidomics of triglyceride‐rich lipoproteins derived from hyperlipidemic patients on inflammation. European Journal of Clinical Investigation. 54(3). e14132–e14132. 8 indexed citations
6.
Paredes, Sílvia, Daiana Ibarretxe, Núria Plana, et al.. (2023). Plasma Expression of Carotid Plaque Presence-Related MicroRNAs Is Associated with Inflammation in Patients with Rheumatoid Arthritis. International Journal of Molecular Sciences. 24(20). 15347–15347.
7.
Rodríguez‐Calvo, Ricardo, Núria Plana, Núria Amigó, et al.. (2023). Serum branch-chained amino acids are increased in type 2 diabetes and associated with atherosclerotic cardiovascular disease. Cardiovascular Diabetology. 22(1). 249–249. 7 indexed citations
8.
Rosales, Roser, Ricardo Rodríguez‐Calvo, Núria Plana, et al.. (2022). Triglyceride-Rich Lipoproteins and Glycoprotein A and B Assessed by 1H-NMR in Metabolic-Associated Fatty Liver Disease. Frontiers in Endocrinology. 12. 775677–775677. 14 indexed citations
9.
Ibarretxe, Daiana, Núria Plana, Roser Rosales, et al.. (2022). A panel of plasma microRNAs improves the assessment of surrogate markers of cardiovascular disease in rheumatoid arthritis patients. Lara D. Veeken. 62(4). 1677–1686. 6 indexed citations
10.
Rosales, Roser, et al.. (2021). Plasma expression of microRNA-425-5p and microRNA-451a as biomarkers of cardiovascular disease in rheumatoid arthritis patients. Scientific Reports. 11(1). 15670–15670. 17 indexed citations
11.
Girona, Josefa, Roser Rosales, Paula Saavedra-García, L. Masana, & Joan-Carles Vallvé. (2019). Palmitate decreases migration and proliferation and increases oxidative stress and inflammation in smooth muscle cells: role of the Nrf2 signaling pathway. American Journal of Physiology-Cell Physiology. 316(6). C888–C897. 18 indexed citations
12.
Masana, L., Josefa Girona, Daiana Ibarretxe, et al.. (2018). Clinical and pathophysiological evidence supporting the safety of extremely low LDL levels—The zero-LDL hypothesis. Journal of clinical lipidology. 12(2). 292–299.e3. 50 indexed citations
13.
Rosales, Roser, et al.. (2015). Simvastatin Increases Fibulin-2 Expression in Human Coronary Artery Smooth Muscle Cells via RhoA/Rho-Kinase Signaling Pathway Inhibition. PLoS ONE. 10(7). e0133875–e0133875. 16 indexed citations
14.
Guardiola, Montse, Álex Martín-Trujillo, Roser Rosales, et al.. (2014). Tissue-specific DNA methylation profiles regulate liver-specific expression of the APOA1/C3/A4/A5 cluster and can be manipulated with demethylating agents on intestinal cells. Atherosclerosis. 237(2). 528–535. 13 indexed citations
15.
Girona, Josefa, Roser Rosales, Núria Plana, et al.. (2013). FABP4 Induces Vascular Smooth Muscle Cell Proliferation and Migration through a MAPK-Dependent Pathway. PLoS ONE. 8(11). e81914–e81914. 53 indexed citations
16.
Flatmark, Kjersti, Elin Borgen, J. M. Nesland, et al.. (2011). Disseminated tumour cells as a prognostic biomarker in colorectal cancer. British Journal of Cancer. 104(9). 1434–1439. 43 indexed citations
17.
Guardiola, Montse, Joan-Carles Vallvé, Roser Rosales, et al.. (2011). APOA5 gene expression in the human intestinal tissue and its response to in vitro exposure to fatty acid and fibrate. Nutrition Metabolism and Cardiovascular Diseases. 22(9). 756–762. 29 indexed citations
18.
19.
Solà, Rosa, Roser Rosales, Josep Ribalta, et al.. (2008). Gene expression analysis of a human enterocyte cell line reveals downregulation of cholesterol biosynthesis in response to short‐chain fatty acids. IUBMB Life. 60(11). 757–764. 98 indexed citations
20.
Kampinga, J, Harry J.M. Groen, F. Klatter, et al.. (1992). Post-thymic T cell development in rats: an update. Biochemical Society Transactions. 20(1). 191–197. 16 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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