M. J. Fontao

61 total papers · 1.1k total citations
24 papers, 812 citations indexed

About

M. J. Fontao is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Nutrition and Dietetics. According to data from OpenAlex, M. J. Fontao has authored 24 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 5 papers in Complementary and alternative medicine and 5 papers in Nutrition and Dietetics. Recurrent topics in M. J. Fontao's work include Blood Pressure and Hypertension Studies (24 papers), Heart Rate Variability and Autonomic Control (16 papers) and Cardiovascular Health and Disease Prevention (7 papers). M. J. Fontao is often cited by papers focused on Blood Pressure and Hypertension Studies (24 papers), Heart Rate Variability and Autonomic Control (16 papers) and Cardiovascular Health and Disease Prevention (7 papers). M. J. Fontao collaborates with scholars based in Spain. M. J. Fontao's co-authors include Diana E. Ayala, Ramón C. Hermida, José R. Fernández, Artemio Mojón, Luisa Chayán, Carlos Calvo, José Enrique López, M. J. Dominguez, Ignacio Alonso and Juan J. Crespo and has published in prestigious journals such as Hypertension, Journal of Hypertension and American Journal of Hypertension.

In The Last Decade

M. J. Fontao

21 papers receiving 793 citations

Author Peers

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

Author						Papers	Cites
M. J. Fontao	652	226	163	136	88	24	812
Juan J. Crespo	622 1.0×	254 1.1×	133 0.8×	126 0.9×	64 0.7×	24	846
Alfonso Otero	484 0.7×	171 0.8×	111 0.7×	118 0.9×	59 0.7×	21	736
María T. Ríos	499 0.8×	207 0.9×	115 0.7×	110 0.8×	51 0.6×	28	706
Ana Moyá	612 0.9×	258 1.1×	119 0.7×	163 1.2×	69 0.8×	44	1.0k
Judith Mekler	577 0.9×	75 0.3×	79 0.5×	145 1.1×	56 0.6×	26	732
Peter Baumgart	576 0.9×	84 0.4×	94 0.6×	203 1.5×	138 1.6×	66	873
Juan José García Sánchez	341 0.5×	120 0.5×	86 0.5×	114 0.8×	156 1.8×	44	832
Mariaconsuelo Valentini	688 1.1×	131 0.6×	59 0.4×	103 0.8×	90 1.0×	27	1.0k
Naoko Tomitani	789 1.2×	66 0.3×	169 1.0×	168 1.2×	101 1.1×	59	973
Jean Mallion	744 1.1×	70 0.3×	74 0.5×	175 1.3×	130 1.5×	33	986

Countries citing papers authored by M. J. Fontao

Since Specialization

Citations

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

Fields of papers citing papers by M. J. Fontao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. J. Fontao. 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 M. J. Fontao. The network helps show where M. J. Fontao may publish in the future.

Co-authorship network of co-authors of M. J. Fontao

This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Fontao. A scholar is included among the top collaborators of M. J. Fontao 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 M. J. Fontao. M. J. Fontao 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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