Marta Riaño

526 total citations
22 papers, 340 citations indexed

About

Marta Riaño is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marta Riaño has authored 22 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marta Riaño's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Marta Riaño is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Marta Riaño collaborates with scholars based in Spain, Italy and Argentina. Marta Riaño's co-authors include Laura López-Ríos, Mauro Boronat, Leonardo Lorente, Jordi Solé‐Violán, Luís Ramos, Mónica Argüeso, Alejandro Jiménez, María M. Martín, Fayna Rodríguez‐González and Efrén Martínez‐Quintana and has published in prestigious journals such as PLoS ONE, Diabetes Care and International Journal of Molecular Sciences.

In The Last Decade

Marta Riaño

22 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marta Riaño Spain 13 99 77 66 64 57 22 340
Wen Bin Wei China 16 245 2.5× 120 1.6× 80 1.2× 50 0.8× 77 1.4× 31 1.6k
S Jambart Lebanon 10 104 1.1× 95 1.2× 42 0.6× 68 1.1× 176 3.1× 23 444
Chi‐Hong Chu Taiwan 8 148 1.5× 82 1.1× 25 0.4× 80 1.3× 86 1.5× 9 350
Xiaoya Zheng China 13 91 0.9× 117 1.5× 49 0.7× 15 0.2× 123 2.2× 34 541
Anestis Moumtzouoglou Greece 8 105 1.1× 49 0.6× 144 2.2× 49 0.8× 22 0.4× 12 351
Xinsheng Han China 7 175 1.8× 62 0.8× 53 0.8× 39 0.6× 29 0.5× 12 318
Frédéric Pinaud France 10 69 0.7× 79 1.0× 192 2.9× 60 0.9× 40 0.7× 27 393
Jung-Nan Wei Taiwan 11 90 0.9× 182 2.4× 75 1.1× 13 0.2× 79 1.4× 12 432
Jan Abrahamsen Denmark 11 38 0.4× 62 0.8× 55 0.8× 18 0.3× 29 0.5× 39 323
Forrest C. Liu United States 7 131 1.3× 61 0.8× 33 0.5× 104 1.6× 13 0.2× 7 506

Countries citing papers authored by Marta Riaño

Since Specialization
Citations

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

Fields of papers citing papers by Marta Riaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Riaño

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Riaño. A scholar is included among the top collaborators of Marta Riaño 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 Marta Riaño. Marta Riaño 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.
Brito‐Casillas, Yeray, Antonio Tugores, Roberto Scicali, et al.. (2025). Glucose metabolism in heterozygous familial hypercholesterolemia with a founder effect and a high diabetes prevalence: a cross-sectional study. Cardiovascular Diabetology. 24(1). 322–322. 1 indexed citations
2.
Saavedra, Pedro, Efrén Martínez‐Quintana, Fayna Rodríguez‐González, et al.. (2022). A Common Variant at the 3'untranslated Region of the CCL7 Gene (rs17735770) Is Associated With Decreased Susceptibility to Coronary Heart Disease. Frontiers in Cardiovascular Medicine. 9. 908070–908070. 1 indexed citations
3.
Martínez‐Quintana, Efrén, et al.. (2021). Gamma‐glutamyl transferase and cardiovascular events in patients with congenital heart disease. European Journal of Clinical Investigation. 52(4). e13720–e13720. 2 indexed citations
4.
5.
García‐Villarreal, Luis, Luis Peña Quintana, Marta Riaño, et al.. (2020). Wilson disease: revision of diagnostic criteria in a clinical series with great genetic homogeneity. Journal of Gastroenterology. 56(1). 78–89. 13 indexed citations
6.
Sánchez-Hernández, Rosa M., Antonio Tugores, Francisco J. Nóvoa, et al.. (2019). The island of Gran Canaria: A genetic isolate for familial hypercholesterolemia. Journal of clinical lipidology. 13(4). 618–626. 13 indexed citations
7.
Martínez‐Quintana, Efrén, et al.. (2019). Cardiovascular risk factors and arterial thrombotic events in congenital heart disease patients. International Journal of Clinical Practice. 73(9). 1–8. 18 indexed citations
8.
Lorente, Leonardo, María M. Martín, Pedro Abreu-González, et al.. (2018). Serum Malondialdehyde Levels and Mortality in Patients with Spontaneous Intracerebral Hemorrhage. World Neurosurgery. 113. e542–e547. 22 indexed citations
9.
Rodríguez‐González, Fayna, et al.. (2018). CYP2C19 or CYP3A5 Genotyping Does Not Predict Clinical Response to Clopidogrel. The Journal of Clinical Pharmacology. 58(10). 1274–1283. 3 indexed citations
10.
Rodríguez‐González, Fayna, et al.. (2018). Risk factors for hyperuricemia in congenital heart disease patients and its relation to cardiovascular death. Congenital Heart Disease. 13(5). 655–662. 7 indexed citations
11.
Boronat, Mauro, et al.. (2016). Relationship between Anemia and Serum Concentrations of Calcium and Phosphorus in Advanced Non-Dialysis-Dependent Chronic Kidney Disease. ˜The œNephron journals/Nephron journals. 135(2). 97–104. 16 indexed citations
12.
Lorente, Leonardo, María M. Martín, Pedro Abreu-González, et al.. (2015). Serum Malondialdehyde Levels in Patients with Malignant Middle Cerebral Artery Infarction Are Associated with Mortality. PLoS ONE. 10(5). e0125893–e0125893. 34 indexed citations
13.
14.
Lorente, Leonardo, María M. Martín, Mónica Argüeso, et al.. (2015). Serum caspase-3 levels and mortality are associated in patients with severe traumatic brain injury. BMC Neurology. 15(1). 228–228. 40 indexed citations
15.
16.
Lorente, Leonardo, María M. Martín, Teresa Almeida, et al.. (2015). Total antioxidant capacity is associated with mortality of patients with severe traumatic brain injury. BMC Neurology. 15(1). 115–115. 20 indexed citations
17.
Boronat, Mauro, César García-Cantón, Laura López-Ríos, et al.. (2013). Non-albuminuric renal disease among subjects with advanced stages of chronic kidney failure related to type 2 diabetes mellitus. Renal Failure. 36(2). 166–170. 36 indexed citations
18.
19.
Martínez‐Quintana, Efrén, et al.. (2010). Serum glucose and lipid levels in adult congenital heart disease patients. Metabolism. 59(11). 1642–1648. 32 indexed citations
20.
Boronat, Mauro, Pedro Saavedra, Laura López-Ríos, et al.. (2010). Differences in Cardiovascular Risk Profile of Diabetic Subjects Discordantly Classified by Diagnostic Criteria Based on Glycated Hemoglobin and Oral Glucose Tolerance Test. Diabetes Care. 33(12). 2671–2673. 26 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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