Joan Vila

2.6k total citations
55 papers, 1.8k citations indexed

About

Joan Vila is a scholar working on Cardiology and Cardiovascular Medicine, Orthopedics and Sports Medicine and Epidemiology. According to data from OpenAlex, Joan Vila has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 14 papers in Orthopedics and Sports Medicine and 11 papers in Epidemiology. Recurrent topics in Joan Vila's work include Bone health and osteoporosis research (12 papers), Heart Failure Treatment and Management (9 papers) and Hip and Femur Fractures (6 papers). Joan Vila is often cited by papers focused on Bone health and osteoporosis research (12 papers), Heart Failure Treatment and Management (9 papers) and Hip and Femur Fractures (6 papers). Joan Vila collaborates with scholars based in Spain, United States and Belgium. Joan Vila's co-authors include Josep Lupón, Antoni Bayés‐Genís, Marta de Antonio, Agustín Urrútia, Amparo Galán, Elisabet Zamora, Judith Peñafiel, Adolfo Díez‐Pérez, Fernando Marín and Jesús González-Macı́as and has published in prestigious journals such as The Journal of Immunology, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Joan Vila

55 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Vila Spain 26 625 403 387 339 209 55 1.8k
Takashi Ashikaga Japan 22 720 1.2× 139 0.3× 470 1.2× 91 0.3× 354 1.7× 141 2.3k
Anthony Magalski United States 21 1.6k 2.6× 437 1.1× 496 1.3× 113 0.3× 166 0.8× 66 3.0k
I.M. van der Meer Netherlands 23 811 1.3× 210 0.5× 571 1.5× 246 0.7× 215 1.0× 35 2.9k
Johan Van Cleemput Belgium 35 1.8k 2.9× 158 0.4× 974 2.5× 170 0.5× 506 2.4× 134 3.3k
Hakan Özhan Türkiye 24 774 1.2× 75 0.2× 283 0.7× 105 0.3× 166 0.8× 101 1.9k
Yugo Shibagaki Japan 26 396 0.6× 193 0.5× 604 1.6× 40 0.1× 470 2.2× 273 3.0k
Martin Whyte United Kingdom 24 191 0.3× 79 0.2× 578 1.5× 168 0.5× 329 1.6× 133 2.4k
Alberto Dolci Italy 26 624 1.0× 66 0.2× 315 0.8× 113 0.3× 172 0.8× 120 2.3k
Jin‐Su Choi South Korea 29 383 0.6× 70 0.2× 564 1.5× 384 1.1× 572 2.7× 111 2.8k
Antonio Cittadini Italy 29 1.7k 2.7× 79 0.2× 365 0.9× 71 0.2× 390 1.9× 114 3.1k

Countries citing papers authored by Joan Vila

Since Specialization
Citations

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

Fields of papers citing papers by Joan Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Vila

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Vila. A scholar is included among the top collaborators of Joan Vila 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 Joan Vila. Joan Vila 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.
Izquierdo, Andrea, Isaac Subirana, Núria Farré, et al.. (2020). Marcadores de daño miocárdico en la predicción del pronóstico a corto plazo de los pacientes con COVID-19. Revista Española de Cardiología. 74(7). 576–583. 15 indexed citations
2.
Redondo‐Pachón, Dolores, Laura Llinàs-Mallol, José Yélamos, et al.. (2019). Pretransplant adaptive NKG2C+ NK cells protect against cytomegalovirus infection in kidney transplant recipients. American Journal of Transplantation. 20(3). 663–676. 19 indexed citations
3.
Sánchez‐Rodríguez, Dolores, Monique Messaggi-Sartor, Raquel Yahyaoui, et al.. (2018). Ultrasound assessment of rectus femoris muscle in rehabilitation patients with chronic obstructive pulmonary disease screened for sarcopenia: correlation of muscle size with quadriceps strength and fat-free mass. European Geriatric Medicine. 10(1). 89–97. 20 indexed citations
4.
5.
Redondo‐Pachón, Dolores, Marta Crespo, José Yélamos, et al.. (2016). Adaptive NKG2C+ NK Cell Response and the Risk of Cytomegalovirus Infection in Kidney Transplant Recipients. The Journal of Immunology. 198(1). 94–101. 53 indexed citations
6.
Lupón, Josep, Marta de Antonio, Joan Vila, et al.. (2014). Development of a Novel Heart Failure Risk Tool: The Barcelona Bio-Heart Failure Risk Calculator (BCN Bio-HF Calculator). PLoS ONE. 9(1). e85466–e85466. 84 indexed citations
7.
Bayés‐Genís, Antoni, Marta de Antonio, Joan Vila, et al.. (2013). Head-to-Head Comparison of 2 Myocardial Fibrosis Biomarkers for Long-Term Heart Failure Risk Stratification. Journal of the American College of Cardiology. 63(2). 158–166. 208 indexed citations
8.
Bayés‐Genís, Antoni, Elisabet Zamora, Marta de Antonio, et al.. (2013). Soluble ST2 Serum Concentration and Renal Function in Heart Failure. Journal of Cardiac Failure. 19(11). 768–775. 90 indexed citations
9.
Lupón, Josep, Marta de Antonio, Amparo Galán, et al.. (2013). Combined Use of the Novel Biomarkers High-Sensitivity Troponin T and ST2 for Heart Failure Risk Stratification vs Conventional Assessment. Mayo Clinic Proceedings. 88(3). 234–243. 60 indexed citations
10.
González-Macı́as, Jesús, Fernando Marín, Joan Vila, & Adolfo Díez‐Pérez. (2011). Probability of fractures predicted by FRAX® and observed incidence in the Spanish ECOSAP Study cohort. Bone. 50(1). 373–377. 63 indexed citations
11.
12.
Oliveras, Anna, Marta Soler, Ofelia M. Martínez-Estrada, et al.. (2007). Endothelial progenitor cells are reduced in refractory hypertension. Journal of Human Hypertension. 22(3). 183–190. 60 indexed citations
13.
Díez‐Pérez, Adolfo, et al.. (2007). Prediction of absolute risk of non-spinal fractures using clinical risk factors and heel quantitative ultrasound. Osteoporosis International. 18(5). 629–639. 60 indexed citations
14.
Marín, Fernando, Jesús González-Macı́as, Salvador Álvarez, et al.. (2006). Incidencia de fractura no vertebral por fragilidad en una cohorte de 5.201 mujeres de 65 años o más durante 3 años de seguimiento. Medicina Clínica. 127(11). 401–404. 16 indexed citations
15.
Cladellas, M, Jordi Bruguera, Josep Comín, et al.. (2006). Is pre-operative anaemia a risk marker for in-hospital mortality and morbidity after valve replacement?. European Heart Journal. 27(9). 1093–1099. 66 indexed citations
16.
Arija, Victoria, et al.. (2004). Consumo, hábitos alimentarios y estado nutricional de la población de Reus en la etapa preconcepcional, el embarazo y el posparto. Medicina Clínica. 123(1). 5–11. 25 indexed citations
17.
González-Macı́as, Jesús, et al.. (2004). Prevalencia de factores de riesgo de osteoporosis y fracturas osteoporóticas en una serie de 5.195 mujeres mayores de 65 años. Medicina Clínica. 123(3). 85–89. 27 indexed citations
18.
Marín, Fernando, Joan Vila, & Jesús González-Macı́as. (2003). Ecografía cuantitativa ósea: impacto de la aplicación de dos poblaciones de referencia diferentes a una cohorte de 5.195 mujeres posmenopáusicas. Medicina Clínica. 121(7). 250–252. 4 indexed citations
19.
Vila, Joan, et al.. (2002). Concordancia entre el Mini-Examen Cognoscitivo y el Mini-Mental State Examination en el cribado del déficit cognitivo. Atención Primaria. 30(1). 5–13. 34 indexed citations
20.
Vinyoles, Ernest, et al.. (2001). CUIDA'L: un ensayo clínico que evaluará la eficacia de una intervención en cuidadores de pacientes demenciados. Atención Primaria. 27(1). 49–53. 10 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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