E.C. DePasquale

2.8k total citations
91 papers, 804 citations indexed

About

E.C. DePasquale is a scholar working on Surgery, Transplantation and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, E.C. DePasquale has authored 91 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Surgery, 36 papers in Transplantation and 34 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in E.C. DePasquale's work include Transplantation: Methods and Outcomes (63 papers), Renal Transplantation Outcomes and Treatments (36 papers) and Cardiac Structural Anomalies and Repair (22 papers). E.C. DePasquale is often cited by papers focused on Transplantation: Methods and Outcomes (63 papers), Renal Transplantation Outcomes and Treatments (36 papers) and Cardiac Structural Anomalies and Repair (22 papers). E.C. DePasquale collaborates with scholars based in United States, Canada and Austria. E.C. DePasquale's co-authors include Daniel Jacoby, Mario C. Deng, Jon Kobashigawa, A. Ardehali, A. Baas, Khurram Nasir, Eric H. Yang, William J. McKenna, Daniel Cruz and Shelley Hall and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Transplantation.

In The Last Decade

E.C. DePasquale

75 papers receiving 788 citations

Peers

E.C. DePasquale
Dana Weisshaar United States
Michael Pham United States
Sofia Carolina Masri United States
Mariska Kemna United States
Valantine Ha United States
Matthias Peltz United States
E.C. DePasquale
Citations per year, relative to E.C. DePasquale E.C. DePasquale (= 1×) peers María J. Paniagua‐Martín

Countries citing papers authored by E.C. DePasquale

Since Specialization
Citations

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

Fields of papers citing papers by E.C. DePasquale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.C. DePasquale. 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 E.C. DePasquale. The network helps show where E.C. DePasquale may publish in the future.

Co-authorship network of co-authors of E.C. DePasquale

This figure shows the co-authorship network connecting the top 25 collaborators of E.C. DePasquale. A scholar is included among the top collaborators of E.C. DePasquale 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 E.C. DePasquale. E.C. DePasquale 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.
Patel, Snehal R., David A. Baran, Palak Shah, et al.. (2025). Multimodal molecular testing provides prognostic value for heart transplant recipients. The Journal of Heart and Lung Transplantation. 45(3). 388–400.
2.
Khush, Kiran K., Nir Uriel, Palak Shah, et al.. (2024). Heart Transplant Outcomes in the Contemporary Era: Results from the SHORE Registry. The Journal of Heart and Lung Transplantation. 43(4). S42–S42.
3.
Khush, Kiran K., Shelley Hall, Andrew Kao, et al.. (2024). Surveillance with dual noninvasive testing for acute cellular rejection after heart transplantation: Outcomes from the Surveillance HeartCare Outcomes Registry. The Journal of Heart and Lung Transplantation. 43(9). 1409–1421. 12 indexed citations
4.
Halloran, Philip F., Katelynn S. Madill-Thomsen, A. Aliabadi-Zuckermann, et al.. (2024). Redefining the molecular rejection states in 3230 heart transplant biopsies: Relationships to parenchymal injury and graft survival. American Journal of Transplantation. 24(8). 1414–1426. 4 indexed citations
5.
Cochran, Abigail L., et al.. (2024). Early Donor Derived Cell-Free DNA Ratios Can Help Predict Future Rejection in Heart Transplant Recipients. The Journal of Heart and Lung Transplantation. 43(4). S508–S508.
6.
Halloran, Philip F., Katelynn S. Madill-Thomsen, Martina Macková, et al.. (2023). Molecular states associated with dysfunction and graft loss in heart transplants. The Journal of Heart and Lung Transplantation. 43(3). 508–518. 4 indexed citations
7.
Fong, Michael, et al.. (2023). New UNOS allocation system associated with no added benefit in waitlist outcomes and worse post-transplant survival in heart–kidney patients. The Journal of Heart and Lung Transplantation. 42(11). 1529–1542. 9 indexed citations
8.
DePasquale, E.C., Michael Fong, K. Pandya, et al.. (2022). UNOS policy change benefits high-priority patients without harming those at low priority. American Journal of Transplantation. 22(12). 2931–2941. 5 indexed citations
9.
DePasquale, E.C., Vaughn A. Starnes, Mark J. Cunningham, et al.. (2021). Effect of UNOS policy change and exception status request on outcomes in patients bridged to heart transplant with an intra‐aortic balloon pump. Artificial Organs. 46(5). 838–849. 12 indexed citations
10.
Liu, Grace, et al.. (2020). THE IMPACT OF THE REVISED UNITED NETWORK OF ORGAN SHARING (UNOS) HEART ALLOCATION POLICY ON TRANSPLANT WAITLIST TIMES AND POST TRANSPLANT MORTALITY. Journal of the American College of Cardiology. 75(11). 1076–1076. 2 indexed citations
11.
Parkes, Michael, A.Z. Aliabadi, Martín Cadeiras, et al.. (2019). An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms. The Journal of Heart and Lung Transplantation. 38(6). 636–646. 37 indexed citations
12.
Adams, E. D., Nicholas Jackson, Timothy Young, E.C. DePasquale, & Leigh Reardon. (2018). Prognostic utility of MELD‐XI in adult congenital heart disease patients undergoing cardiac transplantation. Clinical Transplantation. 32(6). e13257–e13257. 14 indexed citations
13.
Reardon, Leigh, E.C. DePasquale, Daniel Cruz, et al.. (2018). Heart and heart–liver transplantation in adults with failing Fontan physiology. Clinical Transplantation. 32(8). e13329–e13329. 46 indexed citations
14.
DePasquale, E.C., Richard K. Cheng, Mario C. Deng, et al.. (2016). Survival After Heart Transplantation in Patients With Arrhythmogenic Right Ventricular Cardiomyopathy. Journal of Cardiac Failure. 23(2). 107–112. 20 indexed citations
15.
Reardon, Leigh, E.C. DePasquale, Daniel Cruz, et al.. (2014). SURVIVAL IN ADULTS UNDERGOING PRIMARY HEART TRANSPLANT AFTER FONTAN PALLIATION. Journal of the American College of Cardiology. 63(12). A565–A565. 1 indexed citations
16.
DePasquale, E.C., Richard K. Cheng, A. Baas, et al.. (2013). INFLUENCE OF PRE-TRANSPLANT CHRONIC KIDNEY DISEASE ON OUTCOMES OF ADULT HEART TRANSPLANT-ONLY RECIPIENTS: UNOS REGISTRY ANALYSIS. Journal of the American College of Cardiology. 61(10). E793–E793. 1 indexed citations
17.
Cheng, Richard K., E.C. DePasquale, Mario C. Deng, Ali Nsair, & Tamara B. Horwich. (2013). Obesity in heart failure: impact on survival and treatment modalities. Expert Review of Cardiovascular Therapy. 11(9). 1141–1153. 2 indexed citations
18.
DePasquale, E.C. & Gregg C. Fonarow. (2013). Impact of Atrial Fibrillation on Outcomes in Heart Failure. Heart Failure Clinics. 9(4). 437–449.
19.
Adigopula, Sasikanth, Rey P. Vivo, E.C. DePasquale, Ali Nsair, & Mario C. Deng. (2013). Management of ACCF/AHA Stage C Heart Failure. Cardiology Clinics. 32(1). 73–93. 7 indexed citations
20.
Jacoby, Daniel, E.C. DePasquale, & William J. McKenna. (2012). Hypertrophic cardiomyopathy: diagnosis, risk stratification and treatment. Canadian Medical Association Journal. 185(2). 127–134. 29 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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