Fima Macheret

1.1k total citations · 1 hit paper
21 papers, 713 citations indexed

About

Fima Macheret is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Fima Macheret has authored 21 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Artificial Intelligence. Recurrent topics in Fima Macheret's work include Atrial Fibrillation Management and Outcomes (8 papers), Heart Failure Treatment and Management (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Fima Macheret is often cited by papers focused on Atrial Fibrillation Management and Outcomes (8 papers), Heart Failure Treatment and Management (7 papers) and Cardiac electrophysiology and arrhythmias (6 papers). Fima Macheret collaborates with scholars based in United States, Netherlands and Italy. Fima Macheret's co-authors include Lucila Ohno‐Machado, Wentao Li, Rodney A. Gabriel, Yingxiang Huang, John C. Burnett, Alessandro Cataliotti, Yasuhiro Ikeda, Denise M. Heublein, Oscar Ö. Braun and Lisa C. Costello‐Boerrigter and has published in prestigious journals such as Journal of the American College of Cardiology, Clinical Chemistry and Heart.

In The Last Decade

Fima Macheret

20 papers receiving 703 citations

Hit Papers

A tutorial on calibration measurements and calibration mo... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fima Macheret United States 10 401 115 98 83 69 21 713
Chenxi Huang United States 11 212 0.5× 100 0.9× 93 0.9× 100 1.2× 63 0.9× 39 600
Hyue Mee Kim South Korea 18 615 1.5× 120 1.0× 54 0.6× 114 1.4× 76 1.1× 41 868
Iziah E Sama Netherlands 16 408 1.0× 126 1.1× 49 0.5× 78 0.9× 89 1.3× 25 950
Sukrit Narula United States 13 348 0.9× 88 0.8× 56 0.6× 125 1.5× 68 1.0× 19 829
Joseph B. Leader United States 13 296 0.7× 74 0.6× 52 0.5× 112 1.3× 31 0.4× 23 748
Grzegorz Styczyński Poland 11 353 0.9× 199 1.7× 45 0.5× 124 1.5× 117 1.7× 38 764
Ying Zheng China 16 168 0.4× 141 1.2× 36 0.4× 53 0.6× 71 1.0× 70 770
Manuel F. Landecho Spain 17 168 0.4× 243 2.1× 54 0.6× 169 2.0× 61 0.9× 48 1.0k
Amjad Ahmed Saudi Arabia 11 254 0.6× 84 0.7× 115 1.2× 63 0.8× 29 0.4× 39 571
Linyuan Jing United States 16 615 1.5× 159 1.4× 65 0.7× 121 1.5× 91 1.3× 36 855

Countries citing papers authored by Fima Macheret

Since Specialization
Citations

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

Fields of papers citing papers by Fima Macheret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fima Macheret

This figure shows the co-authorship network connecting the top 25 collaborators of Fima Macheret. A scholar is included among the top collaborators of Fima Macheret 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 Fima Macheret. Fima Macheret 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.
Chahine, Yaacoub, et al.. (2025). Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning. Communications Medicine. 5(1). 421–421.
2.
Chahine, Yaacoub, et al.. (2024). Atrial fibrillation substrate and impaired left atrial function: a cardiac MRI study. EP Europace. 26(11). 7 indexed citations
3.
Macheret, Fima, et al.. (2024). Performance of large language models as a resource for patients and healthcare professionals on atrial fibrillation. Heart Rhythm. 21(10). 2048–2050. 3 indexed citations
4.
Macheret, Fima, et al.. (2023). Comparing Inducibility of Re-Entrant Arrhythmia in Patient-Specific Computational Models to Clinical Atrial Fibrillation Phenotypes. JACC. Clinical electrophysiology. 9(10). 2149–2162. 7 indexed citations
5.
Macheret, Fima, et al.. (2023). Explainable Machine Learning to Predict Anchored Reentry Substrate Created by Persistent Atrial Fibrillation Ablation in Computational Models. Journal of the American Heart Association. 12(16). e030500–e030500. 10 indexed citations
6.
Chahine, Yaacoub, et al.. (2022). Cryoballoon temperature parameters during cryoballoon ablation predict pulmonary vein reconnection and atrial fibrillation recurrence. Journal of Interventional Cardiac Electrophysiology. 66(6). 1367–1373. 5 indexed citations
7.
Chahine, Yaacoub, Fima Macheret, Matthew D. Cham, et al.. (2022). Epicardial adipose tissue is associated with left atrial volume and fibrosis in patients with atrial fibrillation. Frontiers in Cardiovascular Medicine. 9. 1045730–1045730. 20 indexed citations
8.
Chahine, Yaacoub, et al.. (2022). MRI-quantified left atrial epicardial adipose tissue predicts atrial fibrillation recurrence following catheter ablation. Frontiers in Cardiovascular Medicine. 9. 1045742–1045742. 9 indexed citations
9.
Huang, Yingxiang, Wentao Li, Fima Macheret, Rodney A. Gabriel, & Lucila Ohno‐Machado. (2020). A tutorial on calibration measurements and calibration models for clinical prediction models. Journal of the American Medical Informatics Association. 27(4). 621–633. 232 indexed citations breakdown →
10.
Adler, Eric, Adriaan A. Voors, Liviu Klein, et al.. (2019). Improving Risk Prediction in Heart Failure Using Machine Learning. European Journal of Heart Failure. 22(1). 139–147. 146 indexed citations
11.
Adler, Eric, Adriaan A. Voors, Liviu Klein, et al.. (2019). MACHINE LEARNING ALGORITHM USING 8 COMMONLY ACQUIRED CLINICAL VARIABLES ACCURATELY PREDICTS MORTALITY IN HEART FAILURE. Journal of the American College of Cardiology. 73(9). 689–689. 1 indexed citations
12.
Macheret, Fima, Traci M. Bartz, Luc Djoussé, et al.. (2015). Higher circulating adiponectin levels are associated with increased risk of atrial fibrillation in older adults. Heart. 101(17). 1368–1374. 55 indexed citations
13.
Costello‐Boerrigter, Lisa C., Harald Lapp, Guido Boerrigter, et al.. (2013). Secretion of Prohormone of B-Type Natriuretic Peptide, proBNP 1-108 , Is Increased in Heart Failure. JACC Heart Failure. 1(3). 207–212. 24 indexed citations
14.
Macheret, Fima, Denise M. Heublein, Lisa C. Costello‐Boerrigter, et al.. (2012). Human Hypertension Is Characterized by a Lack of Activation of the Antihypertensive Cardiac Hormones ANP and BNP. Journal of the American College of Cardiology. 60(16). 1558–1565. 78 indexed citations
15.
Macheret, Fima, Guido Boerrigter, Paul M. McKie, et al.. (2011). Pro–B-Type Natriuretic Peptide1–108 Circulates in the General Community. Journal of the American College of Cardiology. 57(12). 1386–1395. 61 indexed citations
16.
Macheret, Fima, Kavitha N. Pundi, Eileen Broomall, et al.. (2011). Empiric treatment of protracted idiopathic purpura fulminans in an infant: a case report and review of the literature. Journal of Medical Case Reports. 5(1). 201–201. 5 indexed citations
17.
Tonne, Jason M., Jarryd M. Campbell, Alessandro Cataliotti, et al.. (2011). Secretion of Glycosylated Pro–B-Type Natriuretic Peptide from Normal Cardiomyocytes. Clinical Chemistry. 57(6). 864–873. 45 indexed citations
18.
Macheret, Fima, Fernando L. Martín, Tomoko Ichiki, et al.. (2010). The Non-Failing Human Heart Secretes ProBNP 1-108. Journal of Cardiac Failure. 16(8). S30–S30. 1 indexed citations
19.
Cataliotti, Alessandro, et al.. (2010). DEFICIENCY OF THE CARDIORENAL PROTECTIVE HORMONE BNP IN EARLY STAGES OF HYPERTENSION: 2C.01. Journal of Hypertension. 28. e21–e21. 2 indexed citations
20.
Macheret, Fima, Denise M. Heublein, Brian D. Lahr, et al.. (2009). Pro-B-Type natriuretic peptide: a novel, specific biomarker for detection of left ventricular dysfunction in the general community. BMC Pharmacology. 9(S1). 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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