Mario N. Piccinni

1.7k citations
31 papers · 1.4k indexed · h-index 21

Mario N. Piccinni

30 papers receiving 1.3k citations

Peers

Mario N. Piccinni
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 846
  • Cardiology and Cardiovascular Medicine 255
  • Pharmacology 188
  • Cancer Research 140
  • Molecular Biology 573
Replace Sibilla Salvadeo with:
Sibilla Salvadeo Italy
Mehmood Khan United States
G Lübben Germany
Sidney Rosenblatt United States
Leonardina Ciccarelli Italy
Kyoichiro Tsuchiya Japan
Kengo Azushima Japan
Caterina Lamanna Italy
Chiara Cuccurullo Italy
Jeffrey B. Boord United States
Mario N. Piccinni relative to Sibilla Salvadeo Italy Sibilla Salvadeo's profile →
Citations per field
00.5×1.5×
Sibilla Salvadeo · 1×
Citations per year

Countries citing papers authored by Mario N. Piccinni

Since Specialization
Citations

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

Fields of papers citing papers by Mario N. Piccinni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201316
2 201044
3 2010107
4 200914
5 2008129
6 200737
7 200748
8 200728
9 20066
10 200661
11 200672
12 20061
13 200521
14 200532
15 200534
16 200460
17 2004110
18 200468
19 20041
20 200449

About Mario N. Piccinni

Mario N. Piccinni is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Pharmacology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Metabolism, Diabetes, and Cancer (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Pharmacology and Obesity Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (846 citations), Cardiology and Cardiovascular Medicine (255 citations) and Pharmacology (188 citations). Mario N. Piccinni has collaborated with scholars based in Italy, Australia and Russia. Frequent co-authors include Giuseppe Derosa, Leonardina Ciccarelli, Arrigo F.G. Cicero, Sibilla Salvadeo, Angela D’Angelo, Ilaria Ferrari, Elena Fogari, Alessia Gravina, Pietro D. Ragonesi and Pamela Maffioli. Their work appears in journals such as Metabolism, Diabetes Obesity and Metabolism and Diabetes Research and Clinical Practice.

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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