Roberto Nerla

2.3k citations
62 papers · 972 · h-index 18

Impact in

Papers in

Roberto Nerla

55 papers receiving 950 citations

Peers

Roberto Nerla
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 465
  • Radiology, Nuclear Medicine and Imaging 247
  • Surgery 303
  • Pulmonary and Respiratory Medicine 214
  • Endocrinology, Diabetes and Metabolism 57
Replace M Shimamoto with:
M Shimamoto Japan
Roberto Lorenzoni Italy
Romain Eschalier France
Haruyuki Taguchi Japan
Giovanni Sorropago Italy
Terrence D. Welch United States
Anna S. Ghini Italy
Scot H. Merrick United States
Verena Veulemans Germany
Richard Grose United States
Roberto Nerla relative to M Shimamoto Japan M Shimamoto's profile →
Citations per field
00.5×10×14.7×
M Shimamoto · 1×
Citations per year

Countries citing papers authored by Roberto Nerla

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Nerla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roberto Nerla, 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 Roberto Nerla Line = papers co-authored together Roberto Nerla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013154
2 201379
3 201263
4 201052
5 201646
6 201542
7 201741
8 201838
9 201229
10 201028
11 201226
12 201826
13 202023
14 201820
15 201420
16 202320
17 201219
18 200917
19 202317
20 201016

About Roberto Nerla

Roberto Nerla is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Epidemiology and Neurology, having authored 62 papers that have together received 972 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (14 papers), Cerebrovascular and Carotid Artery Diseases (13 papers), Infective Endocarditis Diagnosis and Management (7 papers), Coronary Interventions and Diagnostics (6 papers), Intracranial Aneurysms: Treatment and Complications (5 papers), Cardiovascular Health and Disease Prevention (5 papers), Heart Rate Variability and Autonomic Control (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (465 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Surgery (303 citations), Pulmonary and Respiratory Medicine (214 citations) and Endocrinology, Diabetes and Metabolism (57 citations). Roberto Nerla has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Filippo Crea, Gaetano Antonio Lanza, Alfonso Sestito, Pierpaolo Tarzia, Antonino Di Franco, Angelo Villano, Antonio Di Monaco, Priscilla Lamendola, Antonio Micari and Fausto Castriota. Their work appears in journals such as EuroIntervention, Catheterization and Cardiovascular Interventions, JACC: Cardiovascular Interventions, Heart and Journal of Clinical Medicine.

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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