S. Barbat-Artigas

19 total papers · 488 total citations
8 papers, 386 citations indexed

About

S. Barbat-Artigas is a scholar working on Physiology, Molecular Biology and Geriatrics and Gerontology. According to data from OpenAlex, S. Barbat-Artigas has authored 8 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 1 paper in Molecular Biology and 1 paper in Geriatrics and Gerontology. Recurrent topics in S. Barbat-Artigas's work include Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (6 papers) and Physical Activity and Health (2 papers). S. Barbat-Artigas is often cited by papers focused on Nutrition and Health in Aging (7 papers), Body Composition Measurement Techniques (6 papers) and Physical Activity and Health (2 papers). S. Barbat-Artigas collaborates with scholars based in Canada, France and United States. S. Barbat-Artigas's co-authors include Mylène Aubertin‐Leheudre, Yves Rolland, Mauro Zamboni, Antony D. Karelis, Gabor Abellán van Kan, Matteo Cesari, Bruno Vellas, F. C. Lemieux, M. Dubuc and Jean‐Philippe Leduc‐Gaudet and has published in prestigious journals such as The Journals of Gerontology Series A, Menopause The Journal of The North American Menopause Society and The journal of nutrition health & aging.

In The Last Decade

S. Barbat-Artigas

8 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
S. Barbat-Artigas 312 66 48 46 46 8 386
Lenka Sontáková 341 1.1× 94 1.4× 54 1.1× 45 1.0× 48 1.0× 6 419
Anne O. Brady 253 0.8× 38 0.6× 30 0.6× 31 0.7× 47 1.0× 11 382
M. N. Whitelaw 176 0.6× 55 0.8× 41 0.9× 13 0.3× 42 0.9× 7 335
Naohito Nishio 333 1.1× 73 1.1× 21 0.4× 42 0.9× 81 1.8× 15 413
Seppo Koskinen 211 0.7× 52 0.8× 75 1.6× 19 0.4× 26 0.6× 10 348
Eva Kohlíková 212 0.7× 48 0.7× 41 0.9× 52 1.1× 20 0.4× 15 429
Sarah De Biase 213 0.7× 95 1.4× 50 1.0× 31 0.7× 54 1.2× 6 420
Nuria Montero-Fernández 191 0.6× 43 0.7× 34 0.7× 36 0.8× 31 0.7× 7 377
V. A. G. ZAMBONI 282 0.9× 139 2.1× 48 1.0× 19 0.4× 48 1.0× 6 389
Ching‐Yi Wang 191 0.6× 98 1.5× 27 0.6× 10 0.2× 68 1.5× 13 361

Countries citing papers authored by S. Barbat-Artigas

Since Specialization
Citations

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

Fields of papers citing papers by S. Barbat-Artigas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Barbat-Artigas. 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 S. Barbat-Artigas. The network helps show where S. Barbat-Artigas may publish in the future.

Co-authorship network of co-authors of S. Barbat-Artigas

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

All Works

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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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