Massimo Cavallaro

870 total citations
27 papers, 526 citations indexed

About

Massimo Cavallaro is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Massimo Cavallaro has authored 27 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Molecular Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Massimo Cavallaro's work include Cardiac Valve Diseases and Treatments (5 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Massimo Cavallaro is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Single-cell and spatial transcriptomics (3 papers) and Gene Regulatory Network Analysis (3 papers). Massimo Cavallaro collaborates with scholars based in United Kingdom, Italy and Ireland. Massimo Cavallaro's co-authors include Domenico Asprone, Vincenzo Nicosia, Vito Latora, Gaetano Manfredi, Raffaele Calabrò, Lucia Riegler, Antonello D’Andrea, Rosangela Cocchia, Marianna Conte and John A.M. Taylor and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Massimo Cavallaro

25 papers receiving 514 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 Cavallaro United Kingdom 11 116 111 94 91 89 27 526
Tiange Chen China 11 49 0.4× 23 0.2× 44 0.5× 56 0.6× 42 0.5× 48 389
António J. Madureira Portugal 17 126 1.1× 19 0.2× 111 1.2× 89 1.0× 30 0.3× 63 676
Harshit Garg India 14 109 0.9× 9 0.1× 133 1.4× 34 0.4× 120 1.3× 52 689
Shadi Ebrahimian United States 14 113 1.0× 13 0.1× 54 0.6× 32 0.4× 23 0.3× 47 650
Athanasios Konstantinidis Greece 13 276 2.4× 28 0.3× 81 0.9× 47 0.5× 73 0.8× 36 690
Jun Wan China 13 452 3.9× 110 1.0× 170 1.8× 415 4.6× 109 1.2× 73 1.1k
Xuguang Chen United States 15 643 5.5× 16 0.1× 68 0.7× 36 0.4× 124 1.4× 58 1.2k
Kenichi Satoh Japan 18 163 1.4× 115 1.0× 106 1.1× 24 0.3× 177 2.0× 85 1.1k
Weize Xu China 14 97 0.8× 16 0.1× 94 1.0× 65 0.7× 112 1.3× 65 526

Countries citing papers authored by Massimo Cavallaro

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Cavallaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Cavallaro

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Cavallaro. A scholar is included among the top collaborators of Massimo Cavallaro 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 Cavallaro. Massimo Cavallaro 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.
Mongan, Deirdre, Anne Doyle, Seán Millar, et al.. (2025). Polysubstance use in early adulthood and associated factors in the Republic of Ireland: An analysis of a nationally representative cohort. Addiction. 121(1). 150–162. 1 indexed citations
2.
Cavallaro, Massimo, et al.. (2025). Single‐Calibration Cell Size Measurement With Flow Cytometry. Cytometry Part A. 107(4). 263–270.
3.
4.
Cavallaro, Massimo, Louise Dyson, Michael J. Tildesley, Daniel Todkill, & Matt J. Keeling. (2023). Spatio-temporal surveillance and early detection of SARS-CoV-2 variants of concern: a retrospective analysis. Journal of The Royal Society Interface. 20(208). 20230410–20230410. 1 indexed citations
5.
Cavallaro, Massimo, et al.. (2023). Bayesian inference of polymerase dynamics over the exclusion process. Royal Society Open Science. 10(8). 221469–221469. 2 indexed citations
6.
Cavallaro, Massimo, Ed Moran, Benjamin Collyer, et al.. (2023). Informing antimicrobial stewardship with explainable AI. SHILAP Revista de lepidopterología. 2(1). e0000162–e0000162. 22 indexed citations
7.
Brand, Samuel P. C., Massimo Cavallaro, Charlie Turner, et al.. (2023). The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom. Nature Communications. 14(1). 4100–4100. 52 indexed citations
8.
Cavallaro, Massimo, Juliana Coelho, Derren Ready, et al.. (2022). Cluster detection with random neighbourhood covering: Application to invasive Group A Streptococcal disease. PLoS Computational Biology. 18(11). e1010726–e1010726. 1 indexed citations
9.
Cavallaro, Massimo, et al.. (2021). Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values. PLoS Computational Biology. 17(6). e1009121–e1009121. 14 indexed citations
10.
Cavallaro, Massimo, et al.. (2021). 3 ′-5 ′ crosstalk contributes to transcriptional bursting. Genome biology. 22(1). 56–56. 14 indexed citations
11.
Zhang, Jie, Massimo Cavallaro, & Daniel Hebenstreit. (2021). Timing RNA polymerase pausing with TV-PRO-seq. Cell Reports Methods. 1(6). 100083–100083. 3 indexed citations
12.
Cocchia, Rosangela, Antonello D’Andrea, Marianna Conte, et al.. (2017). Patient selection for transcatheter aortic valve replacement: A combined clinical and multimodality imaging approach. World Journal of Cardiology. 9(3). 212–212. 8 indexed citations
13.
D’Andrea, Antonello, Marianna Conte, Raffaella Scarafile, et al.. (2016). Transcranial Doppler ultrasound: Physical principles and principal applications in Neurocritical care unit. Journal of Cardiovascular Echography. 26(2). 28–28. 63 indexed citations
14.
D’Andrea, Antonello, Marianna Conte, Lucia Riegler, et al.. (2016). Transcranial doppler ultrasound: Incremental diagnostic role in cryptogenic stroke part II. Journal of Cardiovascular Echography. 26(3). 71–71. 8 indexed citations
15.
D’Andrea, Antonello, Marianna Conte, Massimo Cavallaro, et al.. (2016). Transcranial Doppler ultrasonography: From methodology to major clinical applications. World Journal of Cardiology. 8(7). 383–383. 87 indexed citations
16.
Losi, Maria Angela, Bruno Memoli, Carla Contaldi, et al.. (2010). Myocardial fibrosis and diastolic dysfunction in patients on chronic haemodialysis. Nephrology Dialysis Transplantation. 25(6). 1950–1954. 37 indexed citations
17.
Losi, Maria Angela, Gregorio Brevetti, Vittorio Schiano, et al.. (2010). Aortic Valve Sclerosis in Patients with Peripheral and/or Coronary Arterial Disease. Echocardiography. 27(6). 608–612. 12 indexed citations
18.
Losi, Maria Angela, et al.. (2009). Thrombosis of mechanical valve prosthesis in patient with recent Caesarean delivery. European Heart Journal - Cardiovascular Imaging. 10(5). 716–717. 1 indexed citations
19.
Rapacciuolo, Antonio, Maria Angela Losi, Francesco Borgia, et al.. (2009). Transcatheter closure of patent ductus arteriosus reverses left ventricular dysfunction in a septuagenarian. Journal of Cardiovascular Medicine. 10(4). 344–348. 3 indexed citations
20.
Cavallaro, Massimo, John A.M. Taylor, Jennifer D. Gorman, Pari Delir Haghighi, & Donald Resnick. (1993). Imaging findings in a patient with fibrolipomatous hamartoma of the median nerve.. American Journal of Roentgenology. 161(4). 837–838. 60 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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