G. A. Lanza

755 total citations
17 papers, 521 citations indexed

About

G. A. Lanza is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, G. A. Lanza has authored 17 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Surgery. Recurrent topics in G. A. Lanza's work include Cardiac Imaging and Diagnostics (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). G. A. Lanza is often cited by papers focused on Cardiac Imaging and Diagnostics (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). G. A. Lanza collaborates with scholars based in Italy and United States. G. A. Lanza's co-authors include Filippo Crea, Alessandro Manzoli, Vincenzo Pasceri, A Maseri, Attilio Maseri, Alessandro Lupi, Carolina Ierardi, Filippo Crea, Francesco Burzotta and Francesco Tomassini and has published in prestigious journals such as Circulation, The American Journal of Cardiology and Heart.

In The Last Decade

G. A. Lanza

16 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. A. Lanza Italy 10 386 175 128 57 45 17 521
Toshiaki Ashihara Japan 10 365 0.9× 133 0.8× 49 0.4× 39 0.7× 30 0.7× 28 484
Jan Sundell Finland 9 272 0.7× 94 0.5× 99 0.8× 87 1.5× 12 0.3× 17 517
Balachundhar Subramaniam United States 12 397 1.0× 66 0.4× 231 1.8× 74 1.3× 23 0.5× 27 589
Alex Gavish Israel 12 550 1.4× 357 2.0× 157 1.2× 14 0.2× 27 0.6× 20 624
G Taylor United Kingdom 9 242 0.6× 167 1.0× 171 1.3× 17 0.3× 33 0.7× 13 488
Norbert Treese Germany 14 879 2.3× 115 0.7× 202 1.6× 29 0.5× 46 1.0× 26 1.0k
Holley M. Dey United States 10 304 0.8× 130 0.7× 121 0.9× 74 1.3× 16 0.4× 20 509
Osamu Nakagaki Japan 9 278 0.7× 179 1.0× 75 0.6× 18 0.3× 17 0.4× 28 377
Robert B. Dunn United States 10 164 0.4× 108 0.6× 36 0.3× 17 0.3× 30 0.7× 17 341
Katsuhisa Ishii Japan 16 502 1.3× 294 1.7× 172 1.3× 31 0.5× 17 0.4× 38 660

Countries citing papers authored by G. A. Lanza

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Lanza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Lanza. 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 G. A. Lanza. The network helps show where G. A. Lanza may publish in the future.

Co-authorship network of co-authors of G. A. Lanza

This figure shows the co-authorship network connecting the top 25 collaborators of G. A. Lanza. A scholar is included among the top collaborators of G. A. Lanza 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 G. A. Lanza. G. A. Lanza 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.
Lamendola, Priscilla, Giampiero Tamburrini, Lorenzo Tinti, et al.. (2025). Strain-derived myocardial work indices in adult cancer survivors: results from an observational study and comparison with available reference ranges. Cardio-Oncology. 11(1). 78–78.
2.
Lamendola, Priscilla, G. A. Lanza, Angelo Villano, et al.. (2020). Duchenne muscular dystrophy: preliminary experience with sacubitril-valsartan in patients with asymptomatic left ventricular dysfunction.. PubMed. 24(17). 9112–9115. 2 indexed citations
3.
Lanza, G. A., Fabrizio Crudo, Priscilla Lamendola, et al.. (2019). Diagnostic role of echocardiography in patients admitted to the emergency room with suspect no-ST-segment elevation acute myocardial infarction.. PubMed. 23(2). 826–832. 5 indexed citations
4.
Golino, Michele, Francesco Raffaele Spera, Antonio De Vita, et al.. (2018). Microvascular ischemia in patients with successful percutaneous coronary intervention: effects of ranolazine and isosorbide-5-mononitrate.. PubMed. 22(19). 6545–6550. 13 indexed citations
5.
Pitocco, Dario, Francesco Zaccardi, Pierpaolo Tarzia, et al.. (2012). Metformin improves endothelial function in type 1 diabetic subjects: a pilot, placebo‐controlled randomized study. Diabetes Obesity and Metabolism. 15(5). 427–431. 60 indexed citations
6.
Galiuto, Leda, F Gabrielli, G. A. Lanza, et al.. (2010). Influence of left ventricular hypertrophy on microvascular dysfunction and left ventricular remodelling after acute myocardial infarction. European Journal of Echocardiography. 11(8). 677–682. 7 indexed citations
7.
Pitocco, Dario, Pasquale Santangeli, Leonello Fuso, et al.. (2008). Association between reduced pulmonary diffusing capacity and cardiac autonomic dysfunction in Type 1 diabetes. Diabetic Medicine. 25(11). 1366–1369. 15 indexed citations
8.
Galiuto, Leda, S. Barchetta, Sara Paladini, et al.. (2007). Functional and structural correlates of persistent ST elevation after acute myocardial infarction successfully treated by percutaneous coronary intervention. Heart. 93(11). 1376–1380. 12 indexed citations
9.
Sgueglia, Gregory A., Alfonso Sestito, A Spinelli, et al.. (2007). Long-term follow-up of patients with cardiac syndrome X treated by spinal cord stimulation. Heart. 93(5). 591–597. 38 indexed citations
10.
Lanza, G. A.. (2005). Cardiac syndrome X: a critical overview and future perspectives. Heart. 93(2). 159–166. 111 indexed citations
11.
Lupi, Alessandro, G. A. Lanza, Michele Lucente, et al.. (1998). The “Warm-Up” Phenomenon Occurs in Patients With Chronic Stable Angina But Not in Patients With Syndrome X. The American Journal of Cardiology. 81(2). 123–127. 7 indexed citations
12.
Lanza, G. A., M. Galeazzi, Carolina Ierardi, et al.. (1998). Prognostic role of heart rate variability in patients with a recent acute myocardial infarction. The American Journal of Cardiology. 82(11). 1323–1328. 102 indexed citations
13.
Lanza, G. A., Alessandro Manzoli, Vincenzo Pasceri, et al.. (1997). Ischemic-like ST-Segment Changes During Holter Monitoring in Patients With Angina Pectoris and Normal Coronary Arteries But Negative Exercise Testing. The American Journal of Cardiology. 79(1). 1–6. 23 indexed citations
14.
Lanza, G. A., et al.. (1994). Acute effects of nitrates on exercise testing in patients with syndrome X. Clinical and pathophysiological implications.. Circulation. 90(6). 2695–2700. 61 indexed citations
15.
Lanza, G. A., et al.. (1990). [The rhabdomyolytic syndrome: a not uncommon occurrence].. PubMed. 81(3 Suppl). 41–4. 1 indexed citations
16.
Lucente, Michele, et al.. (1988). Circadian variation of ventricular tachycardia in acute myocardial infarction. The American Journal of Cardiology. 62(10). 670–674. 63 indexed citations
17.
Lanza, G. A., et al.. (1987). [Prolonged treatment of hypertension in diabetic patients with enalapril. 1-year follow-up].. PubMed. 78(21). 1601–6. 1 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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