Matteo Landolfo

49 total papers · 485 total citations
29 papers, 336 citations indexed

About

Matteo Landolfo is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matteo Landolfo has authored 29 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 8 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matteo Landolfo's work include Blood Pressure and Hypertension Studies (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Heart Failure Treatment and Management (5 papers). Matteo Landolfo is often cited by papers focused on Blood Pressure and Hypertension Studies (6 papers), Lipoproteins and Cardiovascular Health (5 papers) and Heart Failure Treatment and Management (5 papers). Matteo Landolfo collaborates with scholars based in Italy, United States and Spain. Matteo Landolfo's co-authors include Claudio Borghi, Eugenio Roberto Cosentino, Arrigo F.G. Cicero, Alberto Palazzuoli, Federica Fogacci, Alessandro Pistillo, Filippo Mearelli, Silvana Nicola, J.A. Fernández and Andrea Crepaldi and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and Journal of Hypertension.

In The Last Decade

Matteo Landolfo

27 papers receiving 328 citations

Author Peers

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

Author						Papers	Cites
Matteo Landolfo	109	81	52	50	48	29	336
B. K. Sandhu	70 0.6×	45 0.6×	15 0.3×	51 1.0×	74 1.5×	17	379
Teuku Heriansyah	133 1.2×	76 0.9×	36 0.7×	19 0.4×	39 0.8×	58	384
José Diogo Barata	54 0.5×	80 1.0×	50 1.0×	109 2.2×	71 1.5×	37	359
E.C. Attwood	127 1.2×	50 0.6×	13 0.3×	46 0.9×	40 0.8×	20	387
Cheol Ho Park	39 0.4×	41 0.5×	50 1.0×	99 2.0×	51 1.1×	35	363
Laura López-Ríos	55 0.5×	49 0.6×	11 0.2×	41 0.8×	117 2.4×	27	330
Seung Hwan Hwang	73 0.7×	165 2.0×	15 0.3×	20 0.4×	47 1.0×	25	320
Guang Wang	66 0.6×	53 0.7×	44 0.8×	8 0.2×	50 1.0×	22	382
Ayfer Gözü Pirinçcioğlu	24 0.2×	46 0.6×	17 0.3×	12 0.2×	28 0.6×	28	381
Radana Gurecká	35 0.3×	24 0.3×	16 0.3×	58 1.2×	78 1.6×	26	351

Countries citing papers authored by Matteo Landolfo

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Landolfo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Landolfo

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