D. Travia

560 citations
17 papers · 451 · h-index 10

Impact in

Papers in

D. Travia

16 papers receiving 417 citations

Peers

D. Travia
Comparison fields: 5 of 69
  • Nephrology 147
  • Endocrinology, Diabetes and Metabolism 161
  • Pathology and Forensic Medicine 80
  • Cardiology and Cardiovascular Medicine 98
  • Epidemiology 89
Replace Krystyna Widecka with:
Krystyna Widecka Poland
Takako Kikuchi Japan
Nebojša Kavarić Montenegro
W. Marz Germany
Yukiyoshi Okauchi Japan
Masafumi Kurajoh Japan
Cristina Runzo Italy
H Morii Japan
Martijn P. W. J. M. Bouw Netherlands
Masami Ohrui Japan
D. Travia relative to Krystyna Widecka Poland Krystyna Widecka's profile →
Citations per field
00.5×1.6×
Krystyna Widecka · 1×
Citations per year

Countries citing papers authored by D. Travia

Since Specialization
Citations

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

Fields of papers citing papers by D. Travia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Relationship of uric acid concentration to cardiovascular risk factors in young men. Role of obesity and central fat distribution. The Verona Young Men Atherosclerosis Risk Factors Study.
1996166
2 202055
3 199546
4 199543
5 199231
6
Cardiovascular risk profile in 38-year and 18-year-old men. Contribution of body fat content and regional fat distribution.
199620
7 199719
8
B cell secretion and insulin sensitivity in hypertensive and normotensive obese subjects.
199016
9 199212
10 199312
11 19908
12 20236
13 20215
14 20165
15 19954
16 20242
17 19921

About D. Travia

D. Travia is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Surgery and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 451 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Diet, Metabolism, and Disease (3 papers), Cardiovascular Disease and Adiposity (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Body Composition Measurement Techniques (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Nephrology (147 citations), Endocrinology, Diabetes and Metabolism (161 citations), Pathology and Forensic Medicine (80 citations), Cardiology and Cardiovascular Medicine (98 citations) and Epidemiology (89 citations). D. Travia has collaborated with scholars based in Italy and Australia. Frequent co-authors include Michele Muggeo, Flavia Tosi, Enzo Bonora, Lorenza Santi, Giovanni Targher, Francesca Saggiani, Paolo Moghetti, M. Zenere, Carlo Negri and V. Cacciatori. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Atherosclerosis, The Journal of Clinical Endocrinology & Metabolism, Diabetes Obesity and Metabolism and BMJ Open Diabetes Research & Care.

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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