Giovanni Marchese

16 total papers · 469 total citations
8 papers, 186 citations indexed

About

Giovanni Marchese is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Giovanni Marchese has authored 8 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Genetics. Recurrent topics in Giovanni Marchese's work include Pulmonary Hypertension Research and Treatments (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Restraint-Related Deaths (2 papers). Giovanni Marchese is often cited by papers focused on Pulmonary Hypertension Research and Treatments (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Restraint-Related Deaths (2 papers). Giovanni Marchese collaborates with scholars based in Italy and United States. Giovanni Marchese's co-authors include Maurizio Bussotti, Massimo Piepoli, Elisabetta Salvioni, Susanna Sciomer, Federica Moscucci, Ugo Corrà, Valeria Novelli, A. S. Montenero, Annibale Alessandro Puca and Gianluigi Condorelli and has published in prestigious journals such as Heart, European Journal of Preventive Cardiology and Journal of Interventional Cardiac Electrophysiology.

In The Last Decade

Giovanni Marchese

7 papers receiving 179 citations

Author Peers

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

Author						Papers	Cites
Giovanni Marchese	115	34	23	23	21	8	186
Beverly Giam	59 0.5×	15 0.4×	29 1.3×	12 0.5×	20 1.0×	9	141
Monica Uliana	53 0.5×	24 0.7×	30 1.3×	20 0.9×	35 1.7×	6	282
Martin Mcgough	173 1.5×	20 0.6×	13 0.6×	13 0.6×	24 1.1×	6	223
Giada Bigatti	155 1.3×	41 1.2×	46 2.0×	5 0.2×	26 1.2×	10	236
Tora Leong	192 1.7×	73 2.1×	21 0.9×	8 0.3×	31 1.5×	7	289
Akihiko Hamaguchi	164 1.4×	20 0.6×	25 1.1×	30 1.3×	19 0.9×	11	289
Nina Hutri‐Kähönen	125 1.1×	14 0.4×	25 1.1×	33 1.4×	22 1.0×	10	220
Zsófia Bán	82 0.7×	61 1.8×	87 3.8×	11 0.5×	53 2.5×	7	272
Denglu Zhou	103 0.9×	24 0.7×	23 1.0×	15 0.7×	55 2.6×	13	247
Julie Pester	113 1.0×	10 0.3×	44 1.9×	51 2.2×	32 1.5×	8	252

Countries citing papers authored by Giovanni Marchese

Since Specialization

Citations

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

Fields of papers citing papers by Giovanni Marchese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Marchese

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