Mario Fava

51 total papers · 948 total citations
32 papers, 698 citations indexed

About

Mario Fava is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Internal Medicine. According to data from OpenAlex, Mario Fava has authored 32 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 11 papers in Surgery and 10 papers in Internal Medicine. Recurrent topics in Mario Fava's work include Venous Thromboembolism Diagnosis and Management (10 papers), Acute Ischemic Stroke Management (4 papers) and Renal and Vascular Pathologies (4 papers). Mario Fava is often cited by papers focused on Venous Thromboembolism Diagnosis and Management (10 papers), Acute Ischemic Stroke Management (4 papers) and Renal and Vascular Pathologies (4 papers). Mario Fava collaborates with scholars based in Chile, United States and Argentina. Mario Fava's co-authors include Soledad Loyola, Isidro Huete, Natalia Ulloa, Carmen Covarrubias, N Velasco, Reginald del Pozo, Flavio Nervi, Francisco Cruz, Sergio Uribe and Cristián Tejos and has published in prestigious journals such as Gastroenterology, Radiology and Transplantation.

In The Last Decade

Mario Fava

27 papers receiving 663 citations

Author Peers

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

Author						Papers	Cites
Mario Fava	310	285	253	173	170	32	698
Jessica B. Wallaert	236 0.8×	243 0.9×	299 1.2×	143 0.8×	306 1.8×	22	637
Giuseppe Maria Andreozzi	365 1.2×	384 1.3×	134 0.5×	77 0.4×	223 1.3×	33	663
Parag J. Patel	358 1.2×	250 0.9×	215 0.8×	119 0.7×	110 0.6×	50	765
Rocco G. Ciocca	245 0.8×	194 0.7×	373 1.5×	141 0.8×	318 1.9×	25	690
B. Guias	255 0.8×	365 1.3×	101 0.4×	77 0.4×	201 1.2×	28	576
Robert J. Goldenkranz	338 1.1×	97 0.3×	518 2.0×	130 0.8×	267 1.6×	25	724
J M D Galloway	325 1.0×	252 0.9×	239 0.9×	51 0.3×	296 1.7×	29	762
Russell Lam	378 1.2×	108 0.4×	474 1.9×	142 0.8×	164 1.0×	19	695
G E Mavor	329 1.1×	285 1.0×	185 0.7×	32 0.2×	116 0.7×	40	600
Daniela Calderaro	224 0.7×	231 0.8×	145 0.6×	107 0.6×	386 2.3×	42	708

Countries citing papers authored by Mario Fava

Since Specialization

Citations

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

Fields of papers citing papers by Mario Fava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Fava

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Fava. A scholar is included among the top collaborators of Mario Fava 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 Mario Fava. Mario Fava 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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