Christopher R. deFilippi

18.5k total citations · 5 hit papers
264 papers, 9.8k citations indexed

About

Christopher R. deFilippi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher R. deFilippi has authored 264 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 191 papers in Cardiology and Cardiovascular Medicine, 54 papers in Surgery and 42 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher R. deFilippi's work include Heart Failure Treatment and Management (75 papers), Cardiovascular Function and Risk Factors (68 papers) and Acute Myocardial Infarction Research (68 papers). Christopher R. deFilippi is often cited by papers focused on Heart Failure Treatment and Management (75 papers), Cardiovascular Function and Risk Factors (68 papers) and Acute Myocardial Infarction Research (68 papers). Christopher R. deFilippi collaborates with scholars based in United States, Germany and Netherlands. Christopher R. deFilippi's co-authors include Robert H. Christenson, Stephen L. Seliger, John S. Gottdiener, James A. de Lemos, Paul Grayburn, Willem J. Kop, James L. Januzzi, M. Elizabeth Brickner, Susan R. Heckbert and Min Zhan and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Investigation.

In The Last Decade

Christopher R. deFilippi

253 papers receiving 9.5k citations

Hit Papers

Fibroblast Growth Factor 23 and Left Ventricular Hypertro... 2009 2026 2014 2020 2009 2010 2023 2019 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher R. deFilippi United States 52 6.5k 2.1k 2.0k 1.1k 882 264 9.8k
Gad Keren Israel 47 5.7k 0.9× 1.5k 0.7× 2.1k 1.1× 902 0.8× 1.5k 1.7× 372 10.6k
Jan Skov Jensen Denmark 43 5.1k 0.8× 1.7k 0.8× 1.3k 0.6× 1.4k 1.2× 783 0.9× 188 8.1k
Richard W. Troughton New Zealand 50 7.4k 1.1× 1.2k 0.6× 1.7k 0.9× 380 0.3× 1.2k 1.4× 269 10.2k
Julio A. Chirinos United States 59 9.1k 1.4× 1.5k 0.7× 1.9k 1.0× 573 0.5× 2.1k 2.4× 255 14.0k
Cheuk‐Man Yu Hong Kong 68 15.2k 2.4× 2.6k 1.2× 2.6k 1.3× 638 0.6× 1.4k 1.6× 339 19.1k
Kenneth Dickstein Norway 47 8.7k 1.3× 806 0.4× 1.1k 0.5× 916 0.8× 1.3k 1.5× 166 11.9k
Paul Collinson United Kingdom 51 7.3k 1.1× 3.2k 1.5× 2.0k 1.0× 348 0.3× 675 0.8× 279 9.7k
Amil M. Shah United States 63 10.8k 1.7× 2.4k 1.1× 1.7k 0.9× 526 0.5× 1.9k 2.2× 323 14.4k
Athanase D. Protogerou Greece 46 6.2k 1.0× 875 0.4× 1.4k 0.7× 346 0.3× 1.5k 1.7× 259 9.2k
Daniel Duprez United States 50 5.2k 0.8× 610 0.3× 1.9k 1.0× 511 0.4× 1.1k 1.3× 285 9.8k

Countries citing papers authored by Christopher R. deFilippi

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. deFilippi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. deFilippi. 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 Christopher R. deFilippi. The network helps show where Christopher R. deFilippi may publish in the future.

Co-authorship network of co-authors of Christopher R. deFilippi

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. deFilippi. A scholar is included among the top collaborators of Christopher R. deFilippi 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 Christopher R. deFilippi. Christopher R. deFilippi 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.
O’Connor, Christopher M., Devan V. Mehrotra, Ciaran J. McMullan, et al.. (2025). Assessing Benefit in Patients With Heart Failure and Reduced Ejection Fraction: Analysis of the VICTORIA Trial Using Novel Prognostic Risk Stratification. Journal of Cardiac Failure.
2.
deFilippi, Christopher R., Sara McCallum, Markella V. Zanni, et al.. (2024). Association of Cardiac Troponin T With Coronary Atherosclerosis in Asymptomatic Primary Prevention People With HIV. SHILAP Revista de lepidopterología. 3(9). 101206–101206. 3 indexed citations
3.
Daniels, Lori B., Robert H. Christenson, Carol L. Clark, et al.. (2024). Clinical Performance of an N-Terminal Pro-B-Type Natriuretic Peptide Assay in Acute Heart Failure Diagnosis. The Journal of Applied Laboratory Medicine. 10(2). 325–338.
4.
Naghavi, Morteza, David F. Yankelevitz, Anthony P. Reeves, et al.. (2024). AI-enabled left atrial volumetry in coronary artery calcium scans (AI-CACTM) predicts atrial fibrillation as early as one year, improves CHARGE-AF, and outperforms NT-proBNP: The multi-ethnic study of atherosclerosis. Journal of cardiovascular computed tomography. 18(4). 383–391. 6 indexed citations
5.
deFilippi, Christopher R., et al.. (2024). Preclinical screening for cardiovascular disease with high-sensitivity cardiac troponins: ready, set, go?. Frontiers in Cardiovascular Medicine. 11. 1350573–1350573. 2 indexed citations
6.
Kolossváry, Márton, Christopher R. deFilippi, Sara McCallum, et al.. (2023). Identification of pre-infection markers and differential plasma protein expression following SARS-CoV-2 infection in people living with HIV. EBioMedicine. 90. 104538–104538. 2 indexed citations
7.
Kolossváry, Márton, Christopher R. deFilippi, Michael T. Lu, et al.. (2022). Proteomic Signature of Subclinical Coronary Artery Disease in People With HIV: Analysis of the REPRIEVE Mechanistic Substudy. The Journal of Infectious Diseases. 226(10). 1809–1822. 9 indexed citations
8.
Shah, Palak, Sean Agbor-Enoh, Pramita Bagchi, et al.. (2022). Circulating microRNAs in cellular and antibody-mediated heart transplant rejection. The Journal of Heart and Lung Transplantation. 41(10). 1401–1413. 26 indexed citations
9.
Cooper, Lauren B., Mitchell A. Psotka, Robert J. Mentz, et al.. (2022). Proteomic differences among patients with heart failure taking furosemide or torsemide. Clinical Cardiology. 45(3). 265–272. 5 indexed citations
10.
Haymond, Amanda, Abdulla A. Damluji, Aarthi Narayanan, et al.. (2021). Durability of Viral Neutralization in Asymptomatic Coronavirus Disease 2019 for at Least 60 Days. The Journal of Infectious Diseases. 223(10). 1677–1680. 3 indexed citations
11.
Lewis, Alana, Colby Ayers, Elizabeth Selvin, et al.. (2020). Racial Differences in Malignant Left Ventricular Hypertrophy and Incidence of Heart Failure. Circulation. 141(12). 957–967. 34 indexed citations
12.
deFilippi, Christopher R., W. Frank Peacock, Simon A. Mahler, et al.. (2020). The utility of risk scores when evaluating for acute myocardial infarction using high-sensitivity cardiac troponin I. American Heart Journal. 227. 1–8. 7 indexed citations
13.
Seliger, Stephen L., Susie N. Hong, Robert H. Christenson, et al.. (2017). High-Sensitive Cardiac Troponin T as an Early Biochemical Signature for Clinical and Subclinical Heart Failure. Circulation. 135(16). 1494–1505. 135 indexed citations
14.
Hussein, Ayman A., Traci M. Bartz, John S. Gottdiener, et al.. (2015). Serial measures of cardiac troponin T levels by a highly sensitive assay and incident atrial fibrillation in a prospective cohort of ambulatory older adults. Heart Rhythm. 12(5). 879–885. 28 indexed citations
15.
Daniels, Lori B., Paul Clopton, Christopher R. deFilippi, et al.. (2015). Serial measurement of N-terminal pro–B-type natriuretic peptide and cardiac troponin T for cardiovascular disease risk assessment in the Multi-Ethnic Study of Atherosclerosis (MESA). American Heart Journal. 170(6). 1170–1183. 52 indexed citations
16.
Meijers, Wouter C., James L. Januzzi, Christopher R. deFilippi, et al.. (2014). Elevated plasma galectin-3 is associated with near-term rehospitalization in heart failure: A pooled analysis of 3 clinical trials. American Heart Journal. 167(6). 853–860.e4. 125 indexed citations
17.
Vijayakrishnan, Rajakrishnan, Steven R. Steinhubl, Kenney Ng, et al.. (2014). Prevalence of Heart Failure Signs and Symptoms in a Large Primary Care Population Identified Through the Use of Text and Data Mining of the Electronic Health Record. Journal of Cardiac Failure. 20(7). 459–464. 65 indexed citations
18.
Longstreth, W. T., Richard A. Kronmal, John L.P. Thompson, et al.. (2013). Amino Terminal Pro–B-Type Natriuretic Peptide, Secondary Stroke Prevention, and Choice of Antithrombotic Therapy. Stroke. 44(3). 714–719. 79 indexed citations
19.
Glick, D.R., Christopher R. deFilippi, Robert H. Christenson, John S. Gottdiener, & Stephen L. Seliger. (2013). Long-Term Trajectory of Two Unique Cardiac Biomarkers and Subsequent Left Ventricular Structural Pathology and Risk of Incident Heart Failure in Community-Dwelling Older Adults at Low Baseline Risk. JACC Heart Failure. 1(4). 353–360. 33 indexed citations
20.
Gutiérrez, Orlando M., James L. Januzzi, Tamara Isakova, et al.. (2009). Fibroblast Growth Factor 23 and Left Ventricular Hypertrophy in Chronic Kidney Disease. Circulation. 119(19). 2545–2552. 659 indexed citations breakdown →

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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