Roser Masa-Font

9 total papers · 474 total citations
7 papers, 211 citations indexed

About

Roser Masa-Font is a scholar working on Social Psychology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Roser Masa-Font has authored 7 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Epidemiology. Recurrent topics in Roser Masa-Font's work include Mental Health Treatment and Access (4 papers), Cardiac Health and Mental Health (3 papers) and Diet and metabolism studies (2 papers). Roser Masa-Font is often cited by papers focused on Mental Health Treatment and Access (4 papers), Cardiac Health and Mental Health (3 papers) and Diet and metabolism studies (2 papers). Roser Masa-Font collaborates with scholars based in Spain. Roser Masa-Font's co-authors include M. Martin, Gemma Flores‐Mateo, Yuani M. Roman, Marc Casajuana‐Closas, Rocío Casañas, Jacobo Mendioroz, Quintí Foguet‐Boreu, María Herrera and Luis Miguel Martín‐Lopez and has published in prestigious journals such as International Journal of Environmental Research and Public Health, BMC Health Services Research and Sleep Medicine.

In The Last Decade

Roser Masa-Font

5 papers receiving 203 citations

Author Peers

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

Author						Papers	Cites
Roser Masa-Font	78	62	57	43	40	7	211
Ramajayam Govindaraj	73 0.9×	51 0.8×	28 0.5×	41 1.0×	21 0.5×	17	273
Kimberly Weingart	46 0.6×	20 0.3×	45 0.8×	27 0.6×	16 0.4×	12	280
Kevin W. Chen	45 0.6×	30 0.5×	69 1.2×	65 1.5×	10 0.3×	10	280
Kanfeng Deng	54 0.7×	54 0.9×	17 0.3×	64 1.5×	48 1.2×	7	264
Helen R. Gilpin	60 0.8×	38 0.6×	19 0.3×	35 0.8×	92 2.3×	12	267
Sebastian Ebert	71 0.9×	55 0.9×	9 0.2×	21 0.5×	37 0.9×	5	288
Sheila Laredo	59 0.8×	85 1.4×	13 0.2×	24 0.6×	36 0.9×	10	274
Meera Balasubramaniam	68 0.9×	60 1.0×	35 0.6×	19 0.4×	22 0.6×	17	284
Andrew D. Gill	38 0.5×	35 0.6×	21 0.4×	23 0.5×	29 0.7×	7	288
Ingunn Bosnes	47 0.6×	13 0.2×	18 0.3×	46 1.1×	25 0.6×	11	193

Countries citing papers authored by Roser Masa-Font

Since Specialization

Citations

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

Fields of papers citing papers by Roser Masa-Font

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roser Masa-Font. 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 Roser Masa-Font. The network helps show where Roser Masa-Font may publish in the future.

Co-authorship network of co-authors of Roser Masa-Font

This figure shows the co-authorship network connecting the top 25 collaborators of Roser Masa-Font. A scholar is included among the top collaborators of Roser Masa-Font 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 Roser Masa-Font. Roser Masa-Font 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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