M. Traversa

828 citations
12 papers · 630 · h-index 7

Impact in

Papers in

M. Traversa

12 papers receiving 604 citations

Peers

M. Traversa
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 399
  • Cardiology and Cardiovascular Medicine 156
  • Physiology 141
  • Complementary and alternative medicine 32
  • Internal Medicine 11
Replace Luigi Saccà with:
Luigi Saccà Italy
M. Bergonzani Italy
Welmoed Reitsma Netherlands
C Castillo United States
Elsy Velázquez Venezuela
Krithika Srikanthan United States
H. Yki-J�rvinen Finland
Cathy Mullooly United States
Neda Pecori Italy
D. Travia Italy
M. Traversa relative to Luigi Saccà Italy Luigi Saccà's profile →
Citations per field
00.5×2.6×
Luigi Saccà · 1×
Citations per year

Countries citing papers authored by M. Traversa

Since Specialization
Citations

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

Fields of papers citing papers by M. Traversa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006478
2 200960
3 200232
4 200518
5 199515
6 200210
7 20056
8 20176
9
Afternoon hypoglycaemia in Type 2 diabetes: lessons from blood glucose profiles.
20022
10
The effect of cardiac electric anisotropy on epicardial potential fields during ventricular repolarization.
19861
11
[Post-tetanic count after 50 and 100 Hz tetanic stimulation for monitoring deep neuromuscular blockade with vecuronium].
19941
12 19931

About M. Traversa

M. Traversa is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Pharmacology and Anesthesiology and Pain Medicine, having authored 12 papers that have together received 630 indexed citations. Recurring topics across this work include Pharmacology and Obesity Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Anesthesia and Pain Management (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Anesthesia and Sedative Agents (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (399 citations), Cardiology and Cardiovascular Medicine (156 citations), Physiology (141 citations), Complementary and alternative medicine (32 citations) and Internal Medicine (11 citations). M. Traversa has collaborated with scholars based in Italy and United States. Frequent co-authors include Mariella Trovati, Giovanni Anfossi, Franco Cavalot, Katia Bonomo, Giuseppe Costa, Elisa Fiora, Alessio Petrelli, Marc Conti, Isabella Russo and Paola Massucco. Their work appears in journals such as Diabetes Care, European Heart Journal, Atherosclerosis, Thrombosis and Haemostasis and Obesity.

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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