Riet Dierckx

2.1k total citations
40 papers, 840 citations indexed

About

Riet Dierckx is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Riet Dierckx has authored 40 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 9 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Riet Dierckx's work include Heart Failure Treatment and Management (18 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiac pacing and defibrillation studies (5 papers). Riet Dierckx is often cited by papers focused on Heart Failure Treatment and Management (18 papers), Cardiovascular Function and Risk Factors (11 papers) and Cardiac pacing and defibrillation studies (5 papers). Riet Dierckx collaborates with scholars based in Belgium, United Kingdom and United States. Riet Dierckx's co-authors include John G.F. Cleland, David Prieto‐Merino, Sally C. Inglis, Robyn Clark, Pierpaolo Pellicori, Andrew L. Clark, Jufen Zhang, Kevin Goode, Marc Vanderheyden and Kenneth Wong and has published in prestigious journals such as Circulation, Cochrane Database of Systematic Reviews and European Heart Journal.

In The Last Decade

Riet Dierckx

38 papers receiving 821 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riet Dierckx Belgium 13 587 108 96 84 73 40 840
Robin Boineau United States 8 1.2k 2.1× 154 1.4× 33 0.3× 69 0.8× 144 2.0× 12 1.5k
Denílson Campos de Albuquerque Brazil 13 447 0.8× 80 0.7× 37 0.4× 188 2.2× 61 0.8× 75 826
Giovanni Pulignano Italy 18 1.1k 1.8× 178 1.6× 56 0.6× 21 0.3× 157 2.2× 93 1.3k
James C. Coons United States 18 456 0.8× 255 2.4× 45 0.5× 31 0.4× 157 2.2× 71 978
A. Beale Australia 13 999 1.7× 150 1.4× 23 0.2× 127 1.5× 111 1.5× 34 1.5k
Wei-Hsian Yin Taiwan 20 932 1.6× 230 2.1× 38 0.4× 21 0.3× 132 1.8× 55 1.2k
Sheryl L. Chow United States 16 758 1.3× 195 1.8× 29 0.3× 16 0.2× 184 2.5× 43 1.3k
Dmitry Abramov United States 15 416 0.7× 189 1.8× 47 0.5× 32 0.4× 51 0.7× 110 736
Eun Joo Cho South Korea 16 360 0.6× 163 1.5× 25 0.3× 41 0.5× 82 1.1× 68 831
Sarah Lay‐Flurrie United Kingdom 14 448 0.8× 158 1.5× 59 0.6× 15 0.2× 70 1.0× 30 843

Countries citing papers authored by Riet Dierckx

Since Specialization
Citations

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

Fields of papers citing papers by Riet Dierckx

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riet Dierckx

This figure shows the co-authorship network connecting the top 25 collaborators of Riet Dierckx. A scholar is included among the top collaborators of Riet Dierckx 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 Riet Dierckx. Riet Dierckx 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.
Moyá, Ana, Clara L. Oeste, Sofie Verstreken, et al.. (2023). Detection of Transthyretin Amyloid Cardiomyopathy by Automated Data Extraction from Electronic Health Records. ESC Heart Failure. 10(6). 3483–3492. 2 indexed citations
3.
Masuy, Imke, Sofie Verstreken, Jozef Bartúnek, et al.. (2023). Cardio–Renal–Metabolic Syndrome: Clinical Features and Dapagliflozin Eligibility in a Real-World Heart Failure Cohort. ESC Heart Failure. 10(4). 2269–2280. 3 indexed citations
4.
Zymliński, Robert, Jan Biegus, Marc Vanderheyden, et al.. (2023). Safety, Feasibility of Controllable Decrease of Vena Cava Pressure by Doraya Catheter in Heart Failure. JACC Basic to Translational Science. 8(4). 394–402. 7 indexed citations
6.
Herman, Robert, Marc Vanderheyden, Olivier Nelis, et al.. (2022). Utilizing Longitudinal Data in Assessing All-Cause Mortality in Patients Hospitalized with Heart Failure. ESC Heart Failure. 9(5). 3575–3584. 5 indexed citations
7.
Delrue, Leen, Marc Vanderheyden, Pasquale Paolisso, et al.. (2021). Circulating SERPINA3 Improves Prognostic Stratification in Patients with a De Novo or Worsened Heart Failure. ESC Heart Failure. 8(6). 4780–4790. 22 indexed citations
8.
Nagumo, Sakura, Emanuele Gallinoro, Alessandro Candreva, et al.. (2020). Vessel Fractional Flow Reserve and Graft Vasculopathy in Heart Transplant Recipients. Journal of Interventional Cardiology. 2020. 1–7. 6 indexed citations
9.
Zhang, Jidong, Pierpaolo Pellicori, Daniel Pan, et al.. (2018). Dynamic risk stratification using serial measurements of plasma concentrations of natriuretic peptides in patients with heart failure. International Journal of Cardiology. 269. 196–200. 11 indexed citations
10.
Vanderheyden, Marc, et al.. (2018). Cardioconnect©: A digital remote monitoring and coaching pilot project for discharged Acute Coronary Syndrome and Heart Failure patients. First in Man Experience. Archives of Cardiovascular Diseases Supplements. 11(1). 36–37. 1 indexed citations
11.
Pellicori, Pierpaolo, Alessia Urbinati, Parin Shah, et al.. (2017). What Proportion of Patients with Chronic Heart Failure are Eligible for Sacubitril–Valsartan?. European Journal of Heart Failure. 19(6). 768–778. 46 indexed citations
12.
Pellicori, Pierpaolo, Andrew L. Clark, Anna Kallvikbacka‐Bennett, et al.. (2017). Non-Invasive Measurement of Right Atrial Pressure by Near-Infrared Spectroscopy: Preliminary Experience. A Report from the SICA-HF Study. European Journal of Heart Failure. 19(7). 883–892. 27 indexed citations
13.
Dierckx, Riet, Sally C. Inglis, Robyn Clark, David Prieto‐Merino, & John G.F. Cleland. (2017). Telemedicine in Heart Failure: New Insights from the Cochrane Meta-Analyses. European Journal of Heart Failure. 19(3). 304–306. 46 indexed citations
14.
Zhang, Jufen, et al.. (2016). Xanthine Oxidase Inhibition for the Treatment of Cardiovascular Disease: An Updated Systematic Review and Meta-Analysis. ESC Heart Failure. 4(1). 40–45. 25 indexed citations
15.
Dierckx, Riet, et al.. (2015). Prescribing Patterns to Optimize Heart Rate. JACC Heart Failure. 3(3). 224–230. 20 indexed citations
16.
Dierckx, Riet, Pierpaolo Pellicori, John G.F. Cleland, & Andrew L. Clark. (2014). Telemonitoring in heart failure: Big Brother watching over you. Heart Failure Reviews. 20(1). 107–116. 29 indexed citations
17.
Dierckx, Riet, Marc Goethals, & Marc Vanderheyden. (2013). Continuous invasive hemodynamic monitoring with an implantable device during biventricular mechanical support. The Journal of Heart and Lung Transplantation. 32(3). 375–376. 1 indexed citations
18.
Dierckx, Riet & M. Vandewoude. (2008). DONEPEZIL-RELATED TOXIC HEPATITIS. Acta Clinica Belgica. 63(5). 339–342. 11 indexed citations
20.
Laere, K. Van, et al.. (1999). Quantification of 99Tcm-HMPAO brain SPET in two series of healthy volunteers using different triple-headed SPET configurations. Nuclear Medicine Communications. 20(11). 1031–1040. 4 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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