Massimo Milli

562 total citations
33 papers, 362 citations indexed

About

Massimo Milli is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and General Health Professions. According to data from OpenAlex, Massimo Milli has authored 33 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in General Health Professions. Recurrent topics in Massimo Milli's work include Heart Failure Treatment and Management (12 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac Arrhythmias and Treatments (7 papers). Massimo Milli is often cited by papers focused on Heart Failure Treatment and Management (12 papers), Cardiovascular Function and Risk Factors (10 papers) and Cardiac Arrhythmias and Treatments (7 papers). Massimo Milli collaborates with scholars based in Italy, United States and United Kingdom. Massimo Milli's co-authors include Nadia Aspromonte, Matteo Beltrami, Loredano Milani, Roberto Valle, Mauro Feola, Giuseppe Di Tano, Emanuele Carbonieri, Sabrina Barro, Prospero Giovinazzo and Carlo Fumagalli and has published in prestigious journals such as BioMed Research International, European Journal of Heart Failure and Applied Sciences.

In The Last Decade

Massimo Milli

28 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Massimo Milli Italy 10 278 60 53 51 35 33 362
Antoine Kossaify Lebanon 9 223 0.8× 48 0.8× 54 1.0× 75 1.5× 46 1.3× 37 339
Gerald J. Simkus Canada 9 219 0.8× 80 1.3× 38 0.7× 114 2.2× 29 0.8× 14 423
Kim P. Wagenaar Netherlands 6 534 1.9× 72 1.2× 44 0.8× 55 1.1× 61 1.7× 7 646
Teresa Mota Portugal 6 426 1.5× 65 1.1× 35 0.7× 59 1.2× 56 1.6× 18 524
Vojko Kanič Slovenia 12 234 0.8× 84 1.4× 53 1.0× 61 1.2× 21 0.6× 52 374
Marta Sánchez‐Marteles Spain 10 209 0.8× 58 1.0× 31 0.6× 145 2.8× 41 1.2× 51 348
Alberto Somaschini Italy 13 202 0.7× 80 1.3× 35 0.7× 49 1.0× 44 1.3× 48 421
Annette Maznyczka United Kingdom 11 214 0.8× 135 2.3× 103 1.9× 36 0.7× 29 0.8× 36 358
Fernando Matias Portugal 7 427 1.5× 75 1.3× 40 0.8× 64 1.3× 53 1.5× 14 527
Krzysztof Myrda Poland 8 294 1.1× 51 0.8× 38 0.7× 38 0.7× 38 1.1× 21 406

Countries citing papers authored by Massimo Milli

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Milli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Milli

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Milli. A scholar is included among the top collaborators of Massimo Milli 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 Massimo Milli. Massimo Milli 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.
Luca, Leonardo De, Claudio Bilato, Alessandro Navazio, et al.. (2025). ANMCO statement: semaglutide in the cardio-nephro-metabolic continuum. European Heart Journal Supplements. 27(Supplement_5). v247–v255. 2 indexed citations
2.
3.
Cartocci, Alessandra, et al.. (2025). Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients. Applied Sciences. 15(3). 1178–1178.
4.
Bernardini, Andrea, et al.. (2024). Dexmedetomidine challenge to uncover an intermittent accessory pathway. HeartRhythm Case Reports. 10(4). 283–287.
5.
Giomi, Andrea, et al.. (2024). Cardioneuroablation guided by real-time spectral analysis: The Omnipolar Technology Near Field. HeartRhythm Case Reports. 10(12). 907–911. 1 indexed citations
6.
Beltrami, Matteo, Alessandro Galluzzo, Alessandro Paoletti Perini, et al.. (2023). The role of fibrosis, inflammation, and congestion biomarkers for outcome prediction in candidates to cardiac resynchronization therapy: is “response” the right answer?. Frontiers in Cardiovascular Medicine. 10. 1180960–1180960.
7.
Bernardini, Andrea, et al.. (2023). Impact of dexmedetomidine on electrophysiological properties and arrhythmia inducibility in adult patients referred for reentrant supraventricular tachycardia ablation. Journal of Interventional Cardiac Electrophysiology. 67(2). 371–378. 1 indexed citations
8.
Beltrami, Matteo, et al.. (2022). The Treatment of Heart Failure in Patients with Chronic Kidney Disease: Doubts and New Developments from the Last ESC Guidelines. Journal of Clinical Medicine. 11(8). 2243–2243. 13 indexed citations
9.
Beltrami, Matteo, et al.. (2022). Relationship between measures of left ventricular systolic and diastolic dysfunction and clinical and biomarker status in patients with hypertrophic cardiomyopathy. Archives of cardiovascular diseases. 115(11). 598–609. 3 indexed citations
10.
Beltrami, Matteo, Carlo Fumagalli, & Massimo Milli. (2021). Frailty, sarcopenia and cachexia in heart failure patients: Different clinical entities of the same painting. World Journal of Cardiology. 13(1). 1–10. 21 indexed citations
11.
Guerrini, Laura, et al.. (2020). An operational approach to the execution of MR examinations in patients with CIED. La radiologia medica. 125(12). 1311–1321. 5 indexed citations
12.
Mascia, Giuseppe, et al.. (2020). Esophageal visualization changes atrial fibrillation ablation strategy: from encircling to segmental approach. Journal of Interventional Cardiac Electrophysiology. 59(3). 617–618. 1 indexed citations
13.
Testa, Marco, et al.. (2020). The emotional and social burden of heart failure: integrating physicians’, patients’, and caregivers’ perspectives through narrative medicine. BMC Cardiovascular Disorders. 20(1). 522–522. 11 indexed citations
14.
Fornaro, Alessandra, Iacopo Olivotto, Luigi Rigacci, et al.. (2017). Comparison of Long-Term Outcome in Anthracycline-Related Versus Idiopathic Dilated Cardiomyopathy: A Single Centre Experience. European Journal of Heart Failure. 20(5). 898–906. 44 indexed citations
15.
Giaccardi, Marzia, Giuseppe Mascia, Andrea Giomi, et al.. (2017). Severe obstructive sleep apnea: first screening with an implanted pacemaker. Clinical Case Reports. 5(9). 1465–1467. 1 indexed citations
16.
Majani, Giuseppina, Giuseppe Di Tano, Anna Giardini, et al.. (2016). Prevalence of job-related distress and satisfaction in a nationwide cardiology setting. Journal of Cardiovascular Medicine. 17(8). 587–594. 5 indexed citations
17.
Tano, Giuseppe Di, Renata De Maria, Lucio Gonzini, et al.. (2015). The 30-Day Metric in Acute Heart Failure Revisited: Data from in-Hf Outcome, an Italian Nationwide Cardiology Registry. European Journal of Heart Failure. 17(10). 1032–1041. 31 indexed citations
18.
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Passino, Claudio, et al.. (2010). Recenti conoscenze sulla sensibilità chemocettiva ad ipossia ed ipercapnia in patologia cardiovascolare. Recenti Progressi in Medicina. 101(7). 308–13. 4 indexed citations
20.
Valle, Roberto, Nadia Aspromonte, Mauro Feola, et al.. (2005). B-Type Natriuretic Peptide Can Predict the Medium-Term Risk in Patients With Acute Heart Failure and Preserved Systolic Function. Journal of Cardiac Failure. 11(7). 498–503. 44 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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