D. Travia

560 total citations
17 papers, 451 citations indexed

About

D. Travia is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, D. Travia has authored 17 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in D. Travia's work include Diabetes Treatment and Management (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Diet, Metabolism, and Disease (3 papers). D. Travia is often cited by papers focused on Diabetes Treatment and Management (4 papers), Cardiovascular Disease and Adiposity (3 papers) and Diet, Metabolism, and Disease (3 papers). D. Travia collaborates with scholars based in Italy and Australia. D. Travia's co-authors include Michele Muggeo, Flavia Tosi, Enzo Bonora, Lorenza Santi, Francesca Saggiani, Giovanni Targher, Paolo Moghetti, M. Zenere, V. Cacciatori and Carlo Negri and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, American Journal of Epidemiology and Atherosclerosis.

In The Last Decade

D. Travia

16 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. Travia Italy 10 161 147 98 90 89 17 451
Krystyna Widecka Poland 13 98 0.6× 117 0.8× 165 1.7× 62 0.7× 77 0.9× 62 480
Cristina Runzo Italy 5 297 1.8× 71 0.5× 69 0.7× 105 1.2× 90 1.0× 5 449
Takako Kikuchi Japan 13 181 1.1× 103 0.7× 64 0.7× 128 1.4× 114 1.3× 29 555
Nebojša Kavarić Montenegro 17 161 1.0× 73 0.5× 129 1.3× 126 1.4× 211 2.4× 43 599
Yukiyoshi Okauchi Japan 16 277 1.7× 85 0.6× 130 1.3× 105 1.2× 235 2.6× 37 678
W. Marz Germany 10 248 1.5× 146 1.0× 314 3.2× 136 1.5× 48 0.5× 11 731
H Morii Japan 5 282 1.8× 130 0.9× 160 1.6× 150 1.7× 150 1.7× 6 633
L G Downs United Kingdom 10 103 0.6× 119 0.8× 117 1.2× 115 1.3× 60 0.7× 16 463
Masami Ohrui Japan 11 91 0.6× 43 0.3× 170 1.7× 50 0.6× 110 1.2× 21 444
Masafumi Kurajoh Japan 15 61 0.4× 292 2.0× 51 0.5× 75 0.8× 118 1.3× 41 526

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-authorship network of co-authors of D. Travia

This figure shows the co-authorship network connecting the top 25 collaborators of D. Travia. A scholar is included among the top collaborators of D. Travia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Travia. D. Travia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Zusi, Chiara, Elisabetta Rinaldi, Alessandro Csermely, et al.. (2024). Interactions of the Osteokines, Glucose/Insulin System and Vascular Risk Networks in Patients With Newly Diagnosed Type 2 Diabetes (VNDS 15). Diabetes/Metabolism Research and Reviews. 40(7). e3847–e3847. 2 indexed citations
2.
3.
Zoppini, Giacomo, Maddalena Trombetta, Corinna Brangani, et al.. (2021). Glomerular filtration rate decline in T2DM following diagnosis. The Verona newly diagnosed diabetes study-12. Diabetes Research and Clinical Practice. 175. 108778–108778. 5 indexed citations
4.
Bonora, Enzo, Maddalena Trombetta, Marco Dauriz, et al.. (2020). Chronic complications in patients with newly diagnosed type 2 diabetes: prevalence and related metabolic and clinical features: the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 9. BMJ Open Diabetes Research & Care. 8(1). e001549–e001549. 55 indexed citations
5.
Trombetta, Maddalena, Marco Dauriz, D. Travia, et al.. (2016). Is common genetic variation at IRS1, ENPP1 and TRIB3 loci associated with cardiometabolic phenotypes in type 2 diabetes? An exploratory analysis of the Verona Newly Diagnosed Type 2 Diabetes Study (VNDS) 5. Nutrition Metabolism and Cardiovascular Diseases. 26(3). 232–238. 5 indexed citations
6.
Bonora, Enzo, Giovanni Targher, M. Zenere, et al.. (1997). Relationship between fasting insulin and cardiovascular risk factors is already present in young men: the Verona Young Men Atherosclerosis Risk Factors Study. European Journal of Clinical Investigation. 27(3). 248–254. 19 indexed citations
7.
Bonora, Enzo, Giovanni Targher, Francesca Saggiani, et al.. (1996). 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.. PubMed. 20(11). 975–80. 166 indexed citations
8.
Bonora, Enzo, Giovanni Targher, M. Zenere, et al.. (1996). Cardiovascular risk profile in 38-year and 18-year-old men. Contribution of body fat content and regional fat distribution.. PubMed. 20(1). 28–36. 20 indexed citations
9.
Muggeo, Michele, et al.. (1995). Serum retinol levels throughout 2 years of cholesterol-lowering therapy. Metabolism. 44(3). 398–403. 4 indexed citations
10.
Arcaro, Guido, et al.. (1995). Non-invasive detection of early endothelial dysfunction in hypercholesterolaemic subjects. Atherosclerosis. 114(2). 247–254. 46 indexed citations
11.
Travia, D., Flavia Tosi, Carlo Negri, et al.. (1995). Sustained therapy with 3-hydroxy-3-methylglutaryl-coenzyme-A reductase inhibitors does not impair steroidogenesis by adrenals and gonads.. The Journal of Clinical Endocrinology & Metabolism. 80(3). 836–840. 43 indexed citations
12.
Muggeo, Michele, Paolo Moghetti, M. Querena, et al.. (1993). Mononuclear Leukocytes from Obese Patients with Type II Diabetes have Reduced Activity of Hexokinase, 6-Phosphofructokinase and Glucose-6-Phosphate Dehydrogenase. Hormone and Metabolic Research. 25(3). 160–164. 12 indexed citations
13.
Bonora, Enzo, M. Zenere, Flavia Tosi, et al.. (1992). Influence of Body Fat and its Regional Localization on Risk Factors for Atherosclerosis in Young Men. American Journal of Epidemiology. 135(11). 1271–1278. 31 indexed citations
14.
Bonora, Enzo, Paolo Moghetti, M. Querena, et al.. (1992). Studies on the mechanism of action of sulphonylureas in type II diabetic subjects: gliquidone. Journal of Endocrinological Investigation. 15(1). 1–11. 12 indexed citations
15.
Muggeo, Michele, et al.. (1992). Long Term Treatment with Pravastatin, Simvastatin and Gemfibrozil in Patients with Primary Hypercholesterolaemia: A Controlled Study. Clinical Drug Investigation. 4(5). 376–385. 1 indexed citations
16.
Bonora, Enzo, Paolo Moghetti, V. Cacciatori, et al.. (1990). Plasma concentrations of glucagon during hyperglycemic clamp with or without somatostatin infusion in obese subjects. Acta Diabetologica. 27(4). 309–314. 8 indexed citations
17.
Bonora, Enzo, Paolo Moghetti, M. Zenere, et al.. (1990). B cell secretion and insulin sensitivity in hypertensive and normotensive obese subjects.. PubMed. 14(9). 735–42. 16 indexed citations

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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