Joan Vila

11.0k total citations
132 papers, 5.6k citations indexed

About

Joan Vila is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Joan Vila has authored 132 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cardiology and Cardiovascular Medicine, 29 papers in Endocrinology, Diabetes and Metabolism and 21 papers in Surgery. Recurrent topics in Joan Vila's work include Acute Myocardial Infarction Research (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers) and Heart Failure Treatment and Management (15 papers). Joan Vila is often cited by papers focused on Acute Myocardial Infarction Research (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers) and Heart Failure Treatment and Management (15 papers). Joan Vila collaborates with scholars based in Spain, France and United States. Joan Vila's co-authors include Jaume Marrugat, Roberto Elosúa, Joan Sala, Montserrat Fitó, Isaac Subirana, María Grau, Rafel Ramos, María Isabel Covas, Héctor Sanz and Helmut Schröder and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Joan Vila

127 papers receiving 5.4k citations

Peers

Joan Vila
Comparison fields: 5 of 167
  • Cardiology and Cardiovascular Medicine 1.6k
  • Public Health, Environmental and Occupational Health 1.1k
  • Surgery 928
  • Endocrinology, Diabetes and Metabolism 665
  • Physiology 644
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A.R Folsom United States
Christos Pitsavos Greece
Il Suh South Korea
Jacqueline D. Wright United States
Ada Cuevas Chile
Salvatore Panico Italy
Bjarne K. Jacobsen Norway
Evert G. Schouten Netherlands
Abby G. Ershow United States
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Citations per field, relative to Joan Vila
Joan Vila · 1×
Citations per year, relative to Joan Vila
Joan Vila · 1×

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
# Work Indexed citations
1 0
2 7
3
[Impact of place of residence on the presentation of cardiovascular events and all-cause mortality in a cohort with metabolic syndrome].
3
4 12
5 39
6 3
7 27
8 17
9 18
10 73
11 10
12 12
13 14
14 40
15
Effect of smoking and smoking cessation on bone mass, bone remodeling, vitamin D, PTH and sex hormones.
50
16 233
17 190
18 5
19 1
20 8

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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