Gemma Vilahur

11.6k total citations · 2 hit papers
206 papers, 7.2k citations indexed

About

Gemma Vilahur is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Gemma Vilahur has authored 206 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Cardiology and Cardiovascular Medicine, 66 papers in Surgery and 42 papers in Molecular Biology. Recurrent topics in Gemma Vilahur's work include Antiplatelet Therapy and Cardiovascular Diseases (52 papers), Lipoproteins and Cardiovascular Health (33 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers). Gemma Vilahur is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (52 papers), Lipoproteins and Cardiovascular Health (33 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers). Gemma Vilahur collaborates with scholars based in Spain, United States and United Kingdom. Gemma Vilahur's co-authors include Lina Badimón, Teresa Padró, Laura Casaní, Esther Peña, Soumaya Ben‐Aicha, Juan J. Badimón, Blanca Oñate, Rosa Suades, Valentı́n Fuster and Borja Ibáñez and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Gemma Vilahur

195 papers receiving 7.1k citations

Hit Papers

Thrombosis formation on a... 2014 2026 2018 2022 2014 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gemma Vilahur Spain 45 2.6k 1.9k 1.8k 1.0k 990 206 7.2k
Jaw‐Wen Chen Taiwan 51 2.8k 1.1× 3.1k 1.6× 1.6k 0.9× 1.1k 1.1× 1.0k 1.0× 291 9.4k
Gerasimos Siasos Greece 48 3.0k 1.1× 1.9k 1.0× 1.6k 0.9× 973 1.0× 970 1.0× 414 8.1k
Franco Cuccurullo Italy 52 2.6k 1.0× 1.5k 0.8× 1.8k 1.0× 734 0.7× 960 1.0× 193 9.1k
Felix C. Tanner Switzerland 47 3.6k 1.4× 2.0k 1.1× 2.1k 1.1× 1.1k 1.1× 1.0k 1.0× 222 8.2k
Po‐Hsun Huang Taiwan 44 1.6k 0.6× 2.1k 1.1× 1.2k 0.6× 753 0.7× 582 0.6× 248 6.5k
Paolo Golino Italy 43 3.9k 1.5× 1.1k 0.6× 1.6k 0.9× 701 0.7× 655 0.7× 265 7.5k
Teresa Padró Spain 43 1.8k 0.7× 2.9k 1.5× 1.5k 0.8× 597 0.6× 1.1k 1.2× 197 7.2k
Desmond J. Fitzgerald Ireland 53 4.0k 1.5× 1.9k 1.0× 2.0k 1.1× 644 0.6× 903 0.9× 164 10.1k
Evangelos Oikonomou Greece 40 2.5k 1.0× 1.5k 0.8× 1.2k 0.7× 870 0.9× 772 0.8× 343 6.7k
Paolo Calabrò Italy 45 3.6k 1.4× 1.3k 0.7× 1.6k 0.9× 1.5k 1.4× 731 0.7× 298 7.4k

Countries citing papers authored by Gemma Vilahur

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Vilahur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma Vilahur

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma Vilahur. A scholar is included among the top collaborators of Gemma Vilahur 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 Gemma Vilahur. Gemma Vilahur 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.
López‐Yerena, Anallely, et al.. (2025). Obesity alters VLDL profile and remnant cholesterol differently in metabolically healthy men and women: a ¹H-NMR study. Lipids in Health and Disease. 24(1). 301–301. 1 indexed citations
2.
Suades, Rosa, et al.. (2025). Cardioprotection During Myocardial Infarction in Diabetic Cardiomyopathy. Diabetes. 74(6). 1021–1032. 2 indexed citations
3.
Vilahur, Gemma & Valentı́n Fuster. (2024). Interplay between platelets and coagulation: from protective haemostasis to pathological arterial thrombosis. European Heart Journal. 46(5). 413–423. 8 indexed citations
4.
Kleinbongard, Petra, Carlos Galán‐Arriola, Lina Badimón, et al.. (2024). The IMproving Preclinical Assessment of Cardioprotective Therapies (IMPACT): multicenter pig study on the effect of ischemic preconditioning. Basic Research in Cardiology. 119(6). 893–909. 4 indexed citations
5.
Cordero, Alberto, Teresa Padró, Guiomar Mendieta, et al.. (2024). First time ACS in patients with on‐target lipid levels: Inflammation at admission and re‐event rate at follow‐up. European Journal of Clinical Investigation. 54(12). e14305–e14305. 1 indexed citations
6.
Padró, Teresa, Anallely López‐Yerena, Antonio Pérez, Gemma Vilahur, & Lina Badimón. (2023). Dietary ω3 Fatty Acids and Phytosterols in the Modulation of the HDL Lipidome: A Longitudinal Crossover Clinical Study. Nutrients. 15(16). 3637–3637. 7 indexed citations
7.
López‐Yerena, Anallely, et al.. (2023). Vascular and Platelet Effects of Tomato Soffritto Intake in Overweight and Obese Subjects. Nutrients. 15(24). 5084–5084. 3 indexed citations
8.
Aržanauskaitė, Monika, et al.. (2022). Comparison of two cardiac magnetic resonance imaging postprocessing software tools in a pig model of myocardial infarction. Revista Española de Cardiología (English Edition). 76(2). 123–126. 1 indexed citations
9.
Suades, Rosa, et al.. (2022). Hypercholesterolemia-Induced HDL Dysfunction Can Be Reversed: The Impact of Diet and Statin Treatment in a Preclinical Animal Model. International Journal of Molecular Sciences. 23(15). 8596–8596. 11 indexed citations
11.
Rodríguez, Lyanne, Lina Badimón, Teresa Padró, et al.. (2021). Antiplatelet Activity of Isorhamnetin via Mitochondrial Regulation. Antioxidants. 10(5). 666–666. 30 indexed citations
12.
Davidson, Sean M., Teresa Padró, Sveva Bollini, et al.. (2021). Progress in cardiac research: from rebooting cardiac regeneration to a complete cell atlas of the heart. Cardiovascular Research. 117(10). 2161–2174. 38 indexed citations
13.
Rosselló, Xavier, Antonio Rodríguez‐Sinovas, Gemma Vilahur, et al.. (2019). CIBER-CLAP (CIBERCV Cardioprotection Large Animal Platform): A multicenter preclinical network for testing reproducibility in cardiovascular interventions. Scientific Reports. 9(1). 20290–20290. 13 indexed citations
14.
Badimón, Lina, Rosa Suades, Javier Crespo, et al.. (2019). Liquid Biopsies: Microvesicles in Cardiovascular Disease. Antioxidants and Redox Signaling. 33(9). 645–662. 21 indexed citations
15.
Vilahur, Gemma & Lina Badimón. (2014). Ischemia/reperfusion activates myocardial innate immune response: the key role of the toll-like receptor. Frontiers in Physiology. 5. 496–496. 125 indexed citations
16.
17.
Vilahur, Gemma, et al.. (2012). Platelets Derived From the Bone Marrow of Diabetic Animals Show Dysregulated Endoplasmic Reticulum Stress Proteins That Contribute to Increased Thrombosis. Arteriosclerosis Thrombosis and Vascular Biology. 32(9). 2141–2148. 34 indexed citations
19.
Ibáñez, Borja, S Prat, Walter S. Speidl, et al.. (2007). Early Metoprolol Administration Before Coronary Reperfusion Results in Increased Myocardial Salvage. Circulation. 115(23). 2909–2916. 117 indexed citations
20.
Badimón, Lina & Gemma Vilahur. (2007). Platelets, Arterial Thrombosis and Cerebral Ischemia. Cerebrovascular Diseases. 24(Suppl. 1). 30–39. 34 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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