M. Damiano

528 total citations
22 papers, 322 citations indexed

About

M. Damiano is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Nephrology. According to data from OpenAlex, M. Damiano has authored 22 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Nephrology. Recurrent topics in M. Damiano's work include Cardiac Valve Diseases and Treatments (5 papers), Metabolism and Genetic Disorders (4 papers) and Cardiovascular Function and Risk Factors (3 papers). M. Damiano is often cited by papers focused on Cardiac Valve Diseases and Treatments (5 papers), Metabolism and Genetic Disorders (4 papers) and Cardiovascular Function and Risk Factors (3 papers). M. Damiano collaborates with scholars based in United States, Italy and Canada. M. Damiano's co-authors include Susan E. Mackinnon, Kristen M. Davidge, D Cirillo, Carla Giordano, G Capodicasa, Ralph J. Damiano, Spencer J. Melby, John M. Lasala, Hersh S. Maniar and Marc R. Moon and has published in prestigious journals such as Plastic & Reconstructive Surgery, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

M. Damiano

21 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Damiano United States 10 112 93 81 67 66 22 322
Bahar Öç Türkiye 11 148 1.3× 106 1.1× 48 0.6× 44 0.7× 16 0.2× 32 330
A. Fournell Germany 10 79 0.7× 142 1.5× 29 0.4× 157 2.3× 21 0.3× 21 323
Andreas Nygren Sweden 10 110 1.0× 181 1.9× 66 0.8× 54 0.8× 15 0.2× 21 307
Farsad Imani Iran 12 77 0.7× 209 2.2× 84 1.0× 75 1.1× 15 0.2× 30 388
Arno Schiferer Austria 14 106 0.9× 198 2.1× 53 0.7× 42 0.6× 10 0.2× 18 452
Luiz Antonio Vane Brazil 11 74 0.7× 134 1.4× 44 0.5× 35 0.5× 7 0.1× 38 292
Joshua D. Stearns United States 10 134 1.2× 218 2.3× 31 0.4× 143 2.1× 26 0.4× 22 519
H Shubin United States 12 121 1.1× 255 2.7× 89 1.1× 95 1.4× 28 0.4× 35 480
K. Hvid-Jacobsen Denmark 10 68 0.6× 76 0.8× 21 0.3× 96 1.4× 28 0.4× 28 338
Róbert Kirschner United States 8 69 0.6× 116 1.2× 28 0.3× 10 0.1× 43 0.7× 20 254

Countries citing papers authored by M. Damiano

Since Specialization
Citations

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

Fields of papers citing papers by M. Damiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Damiano

This figure shows the co-authorship network connecting the top 25 collaborators of M. Damiano. A scholar is included among the top collaborators of M. Damiano 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 M. Damiano. M. Damiano 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.
2.
Schumer, Erin M., Muhammad Masood, Akinobu Itoh, et al.. (2023). Surgically implanted endovascular, microaxial left ventricular assist device: A single institution study. JTCVS Techniques. 23. 63–71. 4 indexed citations
3.
Schilling, Joel D., M. Damiano, Gregory A. Ewald, et al.. (2023). Characterization of de novo malignancy after orthotopic heart transplantation: single-centre outcomes over 20 years. European Journal of Cardio-Thoracic Surgery. 64(4). 3 indexed citations
4.
Heaton, Jeff, Aixia Guo, Brian P. Cupps, et al.. (2022). Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients. JACC Heart Failure. 10(9). 637–647. 15 indexed citations
5.
6.
Henn, Matthew C., Alan Zajarías, Nishath Quader, et al.. (2018). Observed to expected 30-day mortality as a benchmark for transcatheter aortic valve replacement. Journal of Thoracic and Cardiovascular Surgery. 157(3). 874–882.e8. 6 indexed citations
7.
Henn, Matthew C., Thomas Percival, Alan Zajarías, et al.. (2016). Learning Alternative Access Approaches for Transcatheter Aortic Valve Replacement: Implications for New Transcatheter Aortic Valve Replacement Centers. The Annals of Thoracic Surgery. 103(5). 1399–1405. 21 indexed citations
8.
Henn, Matthew C., Alan Zajarías, Brian R. Lindman, et al.. (2015). Preoperative pulmonary function tests predict mortality after surgical or transcatheter aortic valve replacement. Journal of Thoracic and Cardiovascular Surgery. 151(2). 578–586.e2. 20 indexed citations
9.
Davidge, Kristen M., David Tang, Kirsty U Boyd, et al.. (2015). The “Hierarchical” Scratch Collapse Test for Identifying Multilevel Ulnar Nerve Compression. Hand. 10(3). 388–395. 37 indexed citations
10.
Maniar, Hersh S., Brian R. Lindman, Krisztina Escallier, et al.. (2015). Delirium after surgical and transcatheter aortic valve replacement is associated with increased mortality. Journal of Thoracic and Cardiovascular Surgery. 151(3). 815–823.e2. 69 indexed citations
11.
Ebersole, Gregory C., Kristen M. Davidge, M. Damiano, & Susan E. Mackinnon. (2013). Validity and Responsiveness of the DASH Questionnaire as an Outcome Measure following Ulnar Nerve Transposition for Cubital Tunnel Syndrome. Plastic & Reconstructive Surgery. 132(1). 81e–90e. 26 indexed citations
12.
Damiano, M., L Ferrara, Paolo Gallo, et al.. (2009). Oral abstract presentation: Perfusion, flow and funtion. European Heart Journal Supplements. 11(Suppl B). S93–S94. 1 indexed citations
13.
Damiano, M., et al.. (1996). [Computerized follow-up cards for ambulatory patients with implanted pacemaker or defibrillator].. PubMed. 26(10). 1175–86. 1 indexed citations
14.
Giordano, Carla, Natale G. De Santo, G Capodicasa, et al.. (1981). Studies on Amino Acids in Diabetic Patients Undergoing Capd. The International Journal of Artificial Organs. 4(2). 62–67. 3 indexed citations
15.
Capodicasa, G, D Cirillo, Roberto Esposito, et al.. (1981). Kinetics of amino acids equilibration in the dialysate during CAPD.. PubMed. 4(1). 23–9. 5 indexed citations
16.
Giordano, Carla, G Capodicasa, D Cirillo, et al.. (1980). Amino acid losses during CAPD.. PubMed. 14(5). 230–2. 21 indexed citations
17.
Giordano, Carla, Natale G. De Santo, Valentina Leo, et al.. (1980). Protein requirement of patients on CAPD: A study on nitrogen balance. The International Journal of Artificial Organs. 3(1). 11–14. 28 indexed citations
18.
Senatore, R, et al.. (1979). Stability of peritoneal urea clearance in continuous ambulatory peritoneal dialysis (18 months experience with CAPD).. PubMed. 2(4). 193–6. 10 indexed citations
19.
Capodicasa, G, R Senatore, D Cirillo, et al.. (1979). Glucose utilization from dialysate in patients on continuous ambulatory peritoneal dialysis (CAPD).. PubMed. 2(3). 119–24. 40 indexed citations
20.
Gossetti, Bruno, et al.. (1978). CBF Changes after (—)Eburnamonine Infusion in Patients with Cerebrovascular Insufficiency. European Neurology. 17(1). 171–172. 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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