Olga Lamacchia

2.5k total citations
66 papers, 1.6k citations indexed

About

Olga Lamacchia is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Olga Lamacchia has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Cardiology and Cardiovascular Medicine and 21 papers in Nephrology. Recurrent topics in Olga Lamacchia's work include Diabetes Treatment and Management (19 papers), Chronic Kidney Disease and Diabetes (18 papers) and Blood Pressure and Hypertension Studies (11 papers). Olga Lamacchia is often cited by papers focused on Diabetes Treatment and Management (19 papers), Chronic Kidney Disease and Diabetes (18 papers) and Blood Pressure and Hypertension Studies (11 papers). Olga Lamacchia collaborates with scholars based in Italy, United States and Germany. Olga Lamacchia's co-authors include Mauro Cignarelli, Salvatore De Cosmo, Giuseppe Penno, Loreto Gesualdo, Emanuela Orsi, Giuseppe Pugliese, Anna Solini, Cecilia Fondelli, Franco Cavalot and Antonio Nicolucci and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Olga Lamacchia

64 papers receiving 1.6k citations

Peers

Olga Lamacchia
Olga Lamacchia
Citations per year, relative to Olga Lamacchia Olga Lamacchia (= 1×) peers Mari-Anne Gall

Countries citing papers authored by Olga Lamacchia

Since Specialization
Citations

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

Fields of papers citing papers by Olga Lamacchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Lamacchia

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

All Works

20 of 20 papers shown
1.
Mirijello, Antonio, Olga Lamacchia, Andrea Fontana, et al.. (2024). The Fibrosis-4 index predicts all-cause mortality in a cohort of patients at high cardiovascular risk partly through glomerular filtration rate reduction. Nutrition Metabolism and Cardiovascular Diseases. 35(1). 103768–103768.
2.
Fadini, Gian Paolo, Raffaella Buzzetti, Dario Pitocco, et al.. (2024). IDegLira for the real‐world treatment of type 2 diabetes in Italy. Final results from the REX observational study. Diabetes Obesity and Metabolism. 26(5). 1746–1756. 4 indexed citations
3.
Menzaghi, Claudia, Antonella Marucci, Cornelia Prehn, et al.. (2024). Inflammation and Prediction of Death in Type 2 Diabetes. Evidence of an Intertwined Link With Tryptophan Metabolism. The Journal of Clinical Endocrinology & Metabolism. 110(5). e1323–e1333. 2 indexed citations
4.
Lamacchia, Olga, Claudia Menzaghi, Massimiliano Copetti, et al.. (2024). GFR Decline Predicts Total Mortality and Mediates the Effect of Tryptophan Metabolism on Death Risk in Type 2 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 110(5). e1451–e1457. 1 indexed citations
5.
Vigna, Carlo, Nicola Marchese, Olga Lamacchia, et al.. (2023). Albuminuria improves R2CHA2DS2-VASc score in predicting mortality in high cardiovascular risk population. Nutrition Metabolism and Cardiovascular Diseases. 33(8). 1591–1598. 1 indexed citations
6.
Sollitto, Francesco, et al.. (2023). A Case Report of Doege–Potter Syndrome: A Rare Cause of Hypoglycemia in a Patient without Diabetes. Journal of Clinical Medicine. 12(12). 3984–3984. 1 indexed citations
7.
Piscitelli, Pamela, Antonio Mirijello, Carlo Vigna, et al.. (2022). CHA2DS2‐VASc and R2CHA2DS2‐VASc scores predict mortality in high cardiovascular risk population. European Journal of Clinical Investigation. 52(11). e13830–e13830. 8 indexed citations
8.
Antonucci, Alessandra, Marina Cardellini, Massimiliano Copetti, et al.. (2021). A Serum Resistin and Multicytokine Inflammatory Pathway Is Linked With and Helps Predict All-cause Death in Diabetes. The Journal of Clinical Endocrinology & Metabolism. 106(11). e4350–e4359. 9 indexed citations
9.
Mazzeo, Pietro, Lucia Tricarico, Giuseppe Pastore, et al.. (2021). Switch to SGLT2 Inhibitors and Improved Endothelial Function in Diabetic Patients with Chronic Heart Failure. Cardiovascular Drugs and Therapy. 36(6). 1157–1164. 23 indexed citations
10.
Penno, Giuseppe, Anna Solini, Emanuela Orsi, et al.. (2021). Insulin resistance, diabetic kidney disease, and all-cause mortality in individuals with type 2 diabetes: a prospective cohort study. BMC Medicine. 19(1). 66–66. 98 indexed citations
11.
Lamacchia, Olga, et al.. (2020). Diabetes Mellitus, Arterial Stiffness and Cardiovascular Disease: Clinical Implications and the Influence of SGLT2i. Current Vascular Pharmacology. 19(2). 233–240. 18 indexed citations
12.
Copetti, Massimiliano, Monia Garofolo, Andrea Fontana, et al.. (2020). The Synergic Association of hs-CRP and Serum Amyloid P Component in Predicting All-Cause Mortality in Patients With Type 2 Diabetes. Diabetes Care. 43(5). 1025–1032. 16 indexed citations
14.
Fontana, Andrea, Lorena Ortega Moreno, Olga Lamacchia, et al.. (2017). Serum resistin is causally related to mortality risk in patients with type 2 diabetes: preliminary evidences from genetic data. Scientific Reports. 7(1). 61–61. 11 indexed citations
15.
Moreno, Lorena Ortega, Olga Lamacchia, Andrea Fontana, et al.. (2016). The combined effect of adiponectin and resistin on all-cause mortality in patients with type 2 diabetes: Evidence of synergism with abdominal adiposity. Atherosclerosis. 250. 23–29. 8 indexed citations
17.
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
18.
Pugliese, Giuseppe, Anna Solini, Giacomo Zoppini, et al.. (2012). High prevalence of advanced retinopathy in patients with type 2 diabetes from the Renal Insufficiency And Cardiovascular Events (RIACE) Italian Multicenter Study. Diabetes Research and Clinical Practice. 98(2). 329–337. 23 indexed citations
19.
Cosmo, Salvatore De, Sabrina Prudente, Olga Lamacchia, et al.. (2011). PPAR 2 P12A polymorphism and albuminuria in patients with type 2 diabetes: a meta-analysis of case-control studies. Nephrology Dialysis Transplantation. 26(12). 4011–4016. 24 indexed citations
20.
Cignarelli, Mauro, Antonio Ambrosi, Andrea Marıno, et al.. (2002). Three cases of papillary carcinoma and three of adenoma in thyroglossal duct cysts: Clinical-diagnostic comparison with benign thyroglossal duct cysts. Journal of Endocrinological Investigation. 25(11). 947–954. 22 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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