Umberto Di Mario

10.8k total citations · 3 hit papers
195 papers, 8.2k citations indexed

About

Umberto Di Mario is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery. According to data from OpenAlex, Umberto Di Mario has authored 195 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Endocrinology, Diabetes and Metabolism, 90 papers in Genetics and 78 papers in Surgery. Recurrent topics in Umberto Di Mario's work include Diabetes and associated disorders (85 papers), Pancreatic function and diabetes (71 papers) and Diabetes Management and Research (58 papers). Umberto Di Mario is often cited by papers focused on Diabetes and associated disorders (85 papers), Pancreatic function and diabetes (71 papers) and Diabetes Management and Research (58 papers). Umberto Di Mario collaborates with scholars based in Italy, United States and United Kingdom. Umberto Di Mario's co-authors include Frida Leonetti, Gianluca Iacobellis, Alessandra Zappaterreno, Mária Cristina Ribaudo, Filippo Assael, Riccardo Perfetti, Claudio Tiberti, Giuseppe Pugliese, Angela Bulotta and Francesco Dotta and has published in prestigious journals such as The Journal of Immunology, Journal of Molecular Biology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Umberto Di Mario

192 papers receiving 7.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Echocardiographic Epicardial Adipose Tissue Is Related to Anthropometric and Clinical Parameters of Metabolic Syndrome: A New Indicator of Cardiovascular Risk

2003 690 citations E Vecci, Claudio Tiberti et al. profile →
Epicardial Fat from Echocardiography: A New Method for Visceral Adipose Tissue Prediction

2003 617 citations Umberto Di Mario, Frida Leonetti et al. profile →
Glucagon-Like Peptide 1 Inhibits Cell Apoptosis and Improves Glucose Responsiveness of Freshly Isolated Human Islets

2003 533 citations Loredana Farilla, Angela Bulotta et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umberto Di Mario Italy	45	3.4k	2.7k	2.0k	1.9k	1.7k	195	8.2k
Masayoshi Shichiri Japan	55	2.7k 0.8×	2.7k 1.0×	3.3k 1.6×	2.4k 1.3×	563 0.3×	230	10.1k
Seiichiro Tarui Japan	40	1.7k 0.5×	1.9k 0.7×	2.0k 1.0×	785 0.4×	804 0.5×	264	6.6k
Tsutomu Hirano Japan	47	3.0k 0.9×	3.8k 1.4×	2.0k 1.0×	1.9k 1.0×	403 0.2×	252	9.0k
Renato Lauro Italy	52	1.4k 0.4×	1.7k 0.6×	2.8k 1.4×	959 0.5×	733 0.4×	106	6.9k
G. Pozza Italy	41	2.8k 0.8×	2.7k 1.0×	1.4k 0.7×	794 0.4×	1.8k 1.0×	301	7.5k
Gunilla Olivecrona Sweden	52	1.7k 0.5×	3.3k 1.2×	2.1k 1.0×	3.9k 2.0×	691 0.4×	175	8.5k
Davide Lauro Italy	50	1.5k 0.4×	1.9k 0.7×	2.5k 1.2×	1.1k 0.6×	564 0.3×	206	7.3k
Toru Aizawa Japan	43	1.7k 0.5×	1.9k 0.7×	2.5k 1.2×	982 0.5×	754 0.4×	193	6.4k
Åke Sjöholm Sweden	38	1.8k 0.5×	2.2k 0.8×	2.4k 1.2×	656 0.3×	563 0.3×	158	6.0k
Fausto Machicao Germany	51	1.9k 0.6×	2.2k 0.8×	3.3k 1.6×	913 0.5×	1.5k 0.9×	182	8.4k

Countries citing papers authored by Umberto Di Mario

Since Specialization

Citations

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

Fields of papers citing papers by Umberto Di Mario

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umberto Di Mario

This figure shows the co-authorship network connecting the top 25 collaborators of Umberto Di Mario. A scholar is included among the top collaborators of Umberto Di Mario 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 Umberto Di Mario. Umberto Di Mario is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dotta, Francesco, Claudio Tiberti, A Pachı̀, et al.. (2009). Humoral and Cellular Immune Abnormalities in Neonates of Diabetic Mothers: Any Pathological Role?. Experimental and Clinical Endocrinology & Diabetes. 89(3). 333–339.

Tempera, Italo, R Cipriani, Patrizia Mancini, et al.. (2005). Poly(ADP‐ribose)polymerase activity is reduced in circulating mononuclear cells from type 2 diabetic patients. Journal of Cellular Physiology. 205(3). 387–392. 10 indexed citations

Chianelli, M., Bart Cornelissen, Christophe Van de Wiele, et al.. (2004). Radioiodinated Recombinant Human TSH: A Novel Radiopharmaceutical for Thyroid Cancer Metastases Detection. Cancer Biotherapy and Radiopharmaceuticals. 19(1). 57–63. 16 indexed citations

Buzzetti, Raffaella, Andrea Galgani, A. Petrone, et al.. (2004). Genetic prediction of type 1 diabetes in a population with low frequency of HLA risk genotypes and low incidence of the disease (the DIABFIN study). Diabetes/Metabolism Research and Reviews. 20(2). 137–143. 26 indexed citations

Tiberti, Claudio, Fei Bao, Margherita Bonamico, et al.. (2003). Celiac disease-associated transglutaminase autoantibody target domains at diagnosis are age and sex dependent. Clinical Immunology. 109(3). 318–324. 7 indexed citations

Iacobini, Carla, Lorena Amadio, Giovanna Oddi, et al.. (2003). Role of Galectin-3 in Diabetic Nephropathy. Journal of the American Society of Nephrology. 14(suppl_3). S264–S270. 79 indexed citations

Anastasi, Emanuela, Antonio Francesco Campese, Diana Bellavia, et al.. (2003). Expression of Activated Notch3 in Transgenic Mice Enhances Generation of T Regulatory Cells and Protects against Experimental Autoimmune Diabetes. The Journal of Immunology. 171(9). 4504–4511. 103 indexed citations

Cabrera‐Rode, Eduardo, et al.. (2003). Type 1 diabetes islet associated antibodies in subjects infected by echovirus 16. Diabetologia. 46(10). 1348–1353. 49 indexed citations

Bulotta, Angela, Hongxiang Hui, Emanuela Anastasi, et al.. (2002). Cultured pancreatic ductal cells undergo cell cycle re-distribution and beta-cell-like differentiation in response to glucagon-like peptide-1. Journal of Molecular Endocrinology. 29(3). 347–360. 80 indexed citations

10.

Tiberti, Claudio, et al.. (2002). Helicobacter pylori y anticuerpos antiislotes pancreáticos en la diabetes mellitus. Revista cubana de endocrinología. 13(1). 0–0.

11.

Buzzetti, Raffaella, et al.. (2001). Disease Concordance and Genetic Susceptibility to Type 1 Diabetes in Italian Twins. Twin Research and Human Genetics. 4(3). 174. 1 indexed citations

12.

Morano, Susanna, Leo Guidobaldi, R Cipriani, et al.. (1999). High glucose modifies heparansulphate synthesis by mouse glomerular epithelial cells. Diabetes/Metabolism Research and Reviews. 15(1). 13–20. 5 indexed citations

13.

Sensi, M., Susanna Morano, Maria Grazia Rossi, et al.. (1997). Neuroelectrophysiological abnormalities are related to metabolic and advanced non-enzymatic glycation changes in prospectively evaluated diabetic Sprague-Dawley rats. Cineca Institutional Research Information System (Tor Vergata University). 10(3). 101–109. 1 indexed citations

14.

Misasi, Roberta, Sabrina Dionisi, Loredana Farilla, et al.. (1997). Gangliosides and autoimmune diabetes. Diabetes/Metabolism Reviews. 13(3). 163–179. 28 indexed citations

15.

Pricci, Flavia, Giuseppe Pugliese, Paolo Mené, et al.. (1996). Regulatory role of eicosanoids in extracellular matrix overproduction induced by long-term exposure to high glucose in cultured rat mesangial cells. Diabetologia. 39(9). 1055–1062. 11 indexed citations

16.

Pugliese, Giuseppe, Flavia Pricci, Nicola Locuratolo, et al.. (1996). Increased activity of the insulin-like growth factor system in mesangial cells cultured in high glucose conditions. Relation to glucose-enhanced extracellular matrix production. Diabetologia. 39(7). 775–784. 48 indexed citations

17.

Mangili, Ruggero, Giacomo Deferrari, Umberto Di Mario, et al.. (1994). Arterial hypertension and microalbuminuria in IDDM: The Italian Microalbuminuria Study. Diabetologia. 37(10). 1015–1024. 36 indexed citations

18.

Mario, Umberto Di, Corrado Betterle, Francesco Dondero, et al.. (1994). Italian serum exchange workshop for the standardization of organ specific autoantibodies. Journal of Endocrinological Investigation. 17(5). 355–365. 3 indexed citations

19.

Mené, Paolo, Giuseppe Pugliese, Flavia Pricci, et al.. (1993). High glucose inhibits cytosolic calcium signaling in cultured rat mesangial cells. Kidney International. 43(3). 585–591. 58 indexed citations

20.

Gray, R S, Peter J. Cowan, Umberto Di Mario, et al.. (1985). Influence of insulin antibodies on pharmacokinetics and bioavailability of recombinant human and highly purified beef insulins in insulin dependent diabetics.. BMJ. 290(6483). 1687–1691. 35 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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