Mario Piga

1.4k citations
32 papers · 977 indexed · h-index 18

Impact in

  • Neurology top 5%
    • Vagus Nerve Stimulation Research
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments

Papers in

Mario Piga

32 papers receiving 952 citations

Peers

Mario Piga
Comparison fields: 5 of 81
  • Neurology 142
  • Nephrology 109
  • Endocrinology, Diabetes and Metabolism 177
  • Pulmonary and Respiratory Medicine 321
  • Cardiology and Cardiovascular Medicine 209
Replace G. Ferlin with:
G. Ferlin Italy
Guiqian Huang China
Hidehiro Takekawa Japan
E.R. Maher United Kingdom
Juan Pablo Pantoja Mexico
Johannes Hensen Germany
Sung Hyuk Heo South Korea
Dong Yang China
Zhong Ju China
Harun Evrengül Türkiye
Mario Piga relative to G. Ferlin Italy G. Ferlin's profile →
Citations per field
00.5×6.3×
G. Ferlin · 1×
Citations per year

Countries citing papers authored by Mario Piga

Since Specialization
Citations

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

Fields of papers citing papers by Mario Piga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201513
2 201517
3 201447
4 201416
5 20142
6 201410
7 201397
8 20134
9 201320
10 201311
11 201252
12 201244
13 201249
14 201123
15 20106
16 200825
17 2003152
18 20008
19 199439
20
Percutaneous intranodular ethanol injection for treatment of autonomously functioning thyroid nodules.
199246

About Mario Piga

Mario Piga is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Cardiology and Cardiovascular Medicine, Hepatology and Epidemiology, having authored 32 papers that have together received 977 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (12 papers), Acute Ischemic Stroke Management (8 papers), Cardiovascular Health and Disease Prevention (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Parathyroid Disorders and Treatments (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Neurology (142 citations), Nephrology (109 citations), Endocrinology, Diabetes and Metabolism (177 citations), Pulmonary and Respiratory Medicine (321 citations) and Cardiology and Cardiovascular Medicine (209 citations). Mario Piga has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Luca Saba, Alessandra Serra, Francesco Marrosu, Monica Puligheddu, Eytan Raz, Alberto Maleci, Giovanni Biggio, Stefano Mariotti, Maria Letizia Lai and Carlo Catalano. Their work appears in journals such as European Radiology, Epilepsy Research, BMC Psychiatry, European Journal of Gastroenterology & Hepatology and American Journal of Roentgenology.

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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