Joan Ars

24 total papers · 498 total citations
14 papers, 210 citations indexed

About

Joan Ars is a scholar working on Geriatrics and Gerontology, Epidemiology and Physiology. According to data from OpenAlex, Joan Ars has authored 14 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geriatrics and Gerontology, 4 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Joan Ars's work include Frailty in Older Adults (7 papers), Chronic Disease Management Strategies (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Joan Ars is often cited by papers focused on Frailty in Older Adults (7 papers), Chronic Disease Management Strategies (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Joan Ars collaborates with scholars based in Spain, Italy and Sweden. Joan Ars's co-authors include Marco Inzitari, Jordi Vilaró, Alessandro Morandi, Cristina Udina, Laura Mónica Pérez, Matteo Cesari, Luís Soto-Bagaria, Fabrício Zambom-Ferraresi, Carmina Castellano‐Tejedor and Mercè Sitjà‐Rabert and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Journal of Internal Medicine.

In The Last Decade

Joan Ars

11 papers receiving 206 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Joan Ars 79 57 52 45 41 14 210
Murilo Rezende Oliveira 76 1.0× 64 1.1× 78 1.5× 33 0.7× 15 0.4× 22 247
Aziz Debain 16 0.2× 19 0.3× 83 1.6× 29 0.6× 72 1.8× 19 203
Marcos Daniel Saraiva 21 0.3× 14 0.2× 87 1.7× 24 0.5× 145 3.5× 13 288
Sharmon P. Osae 22 0.3× 19 0.3× 16 0.3× 56 1.2× 28 0.7× 17 223
Neus Gual 14 0.2× 16 0.3× 26 0.5× 58 1.3× 66 1.6× 15 201
Andrew Cumella 105 1.3× 98 1.7× 38 0.7× 33 0.7× 4 0.1× 18 260
Helen Humphreys 115 1.5× 73 1.3× 15 0.3× 29 0.6× 5 0.1× 20 238
Johan H. Vlake 90 1.1× 102 1.8× 11 0.2× 30 0.7× 10 0.2× 14 281
Nicola Gainsborough 21 0.3× 21 0.4× 33 0.6× 30 0.7× 17 0.4× 16 275
Taizan Shirakawa 19 0.2× 86 1.5× 64 1.2× 55 1.2× 10 0.2× 13 266

Countries citing papers authored by Joan Ars

Since Specialization
Citations

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

Fields of papers citing papers by Joan Ars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Ars

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Ars. A scholar is included among the top collaborators of Joan Ars 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 Ars. Joan Ars is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026