Antonio Pacilli

934 total citations
16 papers, 656 citations indexed

About

Antonio Pacilli is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Epidemiology. According to data from OpenAlex, Antonio Pacilli has authored 16 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Nephrology and 5 papers in Epidemiology. Recurrent topics in Antonio Pacilli's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (5 papers). Antonio Pacilli is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (5 papers). Antonio Pacilli collaborates with scholars based in Italy, Spain and Australia. Antonio Pacilli's co-authors include Salvatore De Cosmo, Francesca Viazzi, Roberto Pontremoli, Carlo Giorda, Giuseppina Russo, Antonio Ceriello, Pietro Guida, Paola Fioretto, Maria Chiara Rossi and Antonio Nicolucci and has published in prestigious journals such as PLoS ONE, Diabetes Care and Cochrane Database of Systematic Reviews.

In The Last Decade

Antonio Pacilli

14 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Pacilli Italy 11 363 331 147 125 104 16 656
Michiko Togane Japan 13 216 0.6× 197 0.6× 61 0.4× 102 0.8× 94 0.9× 31 464
Shinichi Antoku Japan 13 203 0.6× 168 0.5× 59 0.4× 97 0.8× 93 0.9× 33 442
Vittorio Ortalda Italy 9 158 0.4× 380 1.1× 89 0.6× 75 0.6× 99 1.0× 16 588
Saara Metso Finland 15 440 1.2× 82 0.2× 156 1.1× 184 1.5× 61 0.6× 42 767
Kumiko Totsuka Japan 5 166 0.5× 327 1.0× 156 1.1× 66 0.5× 130 1.3× 7 594
Antonio Ceriello Italy 18 419 1.2× 113 0.3× 94 0.6× 111 0.9× 142 1.4× 26 706
Jung Ro Park South Korea 7 142 0.4× 282 0.9× 161 1.1× 68 0.5× 83 0.8× 23 520
Nobuharu Fujiwara Japan 15 123 0.3× 110 0.3× 95 0.6× 83 0.7× 92 0.9× 19 497
Sabin Shurraw Canada 7 256 0.7× 258 0.8× 35 0.2× 91 0.7× 107 1.0× 11 641
Tom Manley United States 5 269 0.7× 235 0.7× 37 0.3× 113 0.9× 84 0.8× 6 509

Countries citing papers authored by Antonio Pacilli

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Pacilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Pacilli

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

All Works

16 of 16 papers shown
1.
Ceriello, Antonio, Maria Chiara Rossi, Salvatore De Cosmo, et al.. (2019). Overall Quality of Care Predicts the Variability of Key Risk Factors for Complications in Type 2 Diabetes: An Observational, Longitudinal Retrospective Study. Diabetes Care. 42(4). 514–519. 25 indexed citations
2.
Lamacchia, Olga, Andrea Fontana, Antonio Pacilli, et al.. (2017). On the non-linear association between serum uric acid levels and all-cause mortality rate in patients with type 2 diabetes mellitus. Atherosclerosis. 260. 20–26. 25 indexed citations
3.
Ruospo, Marinella, Valeria Saglimbene, Suetonia C. Palmer, et al.. (2017). Glucose targets for preventing diabetic kidney disease and its progression. Cochrane Database of Systematic Reviews. 2017(6). CD010137–CD010137. 86 indexed citations
4.
Ceriello, Antonio, Salvatore De Cosmo, Maria Chiara Rossi, et al.. (2017). Variability in HbA1c , blood pressure, lipid parameters and serum uric acid, and risk of development of chronic kidney disease in type 2 diabetes. Diabetes Obesity and Metabolism. 19(11). 1570–1578. 72 indexed citations
5.
Cosmo, Salvatore De, Francesca Viazzi, Antonio Pacilli, et al.. (2016). Predictors of chronic kidney disease in type 2 diabetes. Medicine. 95(27). e4007–e4007. 45 indexed citations
6.
Bacci, Simonetta, et al.. (2016). Urinary albumin excretion correlates with carotid intima-media thickness in offspring of patients with type 2 diabetes and albuminuria. Acta Diabetologica. 53(6). 1045–1048. 2 indexed citations
7.
Pacilli, Antonio, Sabrina Prudente, Massimiliano Copetti, et al.. (2016). The PPARγ2 P12A polymorphism is not associated with all-cause mortality in patients with type 2 diabetes mellitus. Endocrine. 54(1). 38–46.
8.
Russo, Giuseppina, Salvatore De Cosmo, Francesca Viazzi, et al.. (2016). Plasma Triglycerides and HDL-C Levels Predict the Development of Diabetic Kidney Disease in Subjects With Type 2 Diabetes: The AMD Annals Initiative. Diabetes Care. 39(12). 2278–2287. 115 indexed citations
9.
Pacilli, Antonio, Francesca Viazzi, Paola Fioretto, et al.. (2016). Epidemiology of diabetic kidney disease in adult patients with type 1 diabetes in Italy: The AMD‐Annals initiative. Diabetes/Metabolism Research and Reviews. 33(4). 28 indexed citations
10.
Pacilli, Antonio, Olga Lamacchia, Andrea Fontana, et al.. (2015). Target Values of Cardiovascular Risk Factors Are Not Associated with All-Cause Mortality in Patients with Type 2 Diabetes Mellitus. PLoS ONE. 10(4). e0124536–e0124536. 3 indexed citations
11.
Cosmo, Salvatore De, Francesca Viazzi, Antonio Pacilli, et al.. (2015). Achievement of therapeutic targets in patients with diabetes and chronic kidney disease: insights from the Associazione Medici Diabetologi Annals initiative. Nephrology Dialysis Transplantation. 30(9). 1526–1533. 36 indexed citations
12.
Cosmo, Salvatore De, Francesca Viazzi, Antonio Pacilli, et al.. (2015). Serum Uric Acid and Risk of CKD in Type 2 Diabetes. Clinical Journal of the American Society of Nephrology. 10(11). 1921–1929. 137 indexed citations
13.
Rauseo, Anna, Antonio Pacilli, Raffaella Viti, et al.. (2015). Ipoglicemia nel paziente diabetico anziano fragile. 35(3). 239–246.
14.
Pacilli, Antonio, Salvatore De Cosmo, Vincenzo Trischitta, & Simonetta Bacci. (2013). Role of relationship between HbA1c, fibrinogen and HDL-cholesterol on cardiovascular disease in patients with type 2 diabetes mellitus. Atherosclerosis. 228(1). 247–248. 22 indexed citations
15.
Cosmo, Salvatore De, Massimiliano Copetti, Olga Lamacchia, et al.. (2013). Development and Validation of a Predicting Model of All-Cause Mortality in Patients With Type 2 Diabetes. Diabetes Care. 36(9). 2830–2835. 53 indexed citations
16.
Rauseo, Anna, Antonio Pacilli, Antonio Palena, & Salvatore De Cosmo. (2010). Management of type 2 diabetes in geriatric patients. Journal of Nephrology. 23(S15). S72–S79. 7 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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