Mario Monaco

2.3k citations
73 papers · 1.6k · h-index 22

Impact in

Papers in

Mario Monaco

70 papers receiving 1.6k citations

Peers

Mario Monaco
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 342
  • Cancer Research 199
  • Endocrinology, Diabetes and Metabolism 201
  • Virology 54
  • Pulmonary and Respiratory Medicine 336
Replace Chaoyong Zhu with:
Chaoyong Zhu Sweden
Deepak M. Sahasrabudhe United States
Julia Calzada‐Wack Germany
Sandra J. Friezner Degen United States
Pierre Ronco France
R P McEver United States
Laura Pala Italy
Dan Combs United States
Miroslaw Kornek Germany
Carmen Domı́nguez-Jiménez Spain
Mario Monaco relative to Chaoyong Zhu Sweden Chaoyong Zhu's profile →
Citations per field
00.5×10×12.6×
Chaoyong Zhu · 1×
Citations per year

Countries citing papers authored by Mario Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Mario Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Monaco, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Monaco Line = papers co-authored together Mario Monaco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009214
2 200499
3 200691
4 200286
5 201985
6 200980
7 200470
8 200860
9 200458
10 199556
11 200852
12 201547
13 200644
14 200744
15 201143
16 201336
17 200735
18 200731
19 201231
20 201224

About Mario Monaco

Mario Monaco is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Aortic aneurysm repair treatments (10 papers), Aortic Disease and Treatment Approaches (8 papers), Cardiac and Coronary Surgery Techniques (7 papers), Cardiac Valve Diseases and Treatments (7 papers), Cancer-related Molecular Pathways (5 papers), Renal and related cancers (3 papers) and Trauma Management and Diagnosis (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (342 citations), Cancer Research (199 citations), Endocrinology, Diabetes and Metabolism (201 citations), Virology (54 citations) and Pulmonary and Respiratory Medicine (336 citations). Mario Monaco has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Luigi Di Tommaso, Paolo Stassano, Gennaro Chiappetta, N Spampinato, Paolo Pepino, Gabriele Iannelli, Alfredo Fusco, Carlo Vosa, Francesco Iorio and Emilia Vuttariello. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Oncotarget, The Thoracic and Cardiovascular Surgeon, The Journal of Clinical Endocrinology & Metabolism and Journal of the American College of Cardiology.

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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