Anca Florian

1.7k total citations
51 papers, 1.0k citations indexed

About

Anca Florian is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Anca Florian has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Molecular Biology. Recurrent topics in Anca Florian's work include Cardiomyopathy and Myosin Studies (16 papers), Cardiac Imaging and Diagnostics (13 papers) and Advanced MRI Techniques and Applications (12 papers). Anca Florian is often cited by papers focused on Cardiomyopathy and Myosin Studies (16 papers), Cardiac Imaging and Diagnostics (13 papers) and Advanced MRI Techniques and Applications (12 papers). Anca Florian collaborates with scholars based in Germany, Romania and Belgium. Anca Florian's co-authors include Ali Yılmaz, Udo Sechtem, Sabine Rösch, Johannes Waltenberger, Jens‐Uwe Voigt, Michael Bietenbeck, Ruxandra Jurcuţ, Markus A. Engelen, Jan Bogaert and Jesper Hastrup Svendsen and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Anca Florian

47 papers receiving 991 citations

Peers

Anca Florian
S. K. Prasad United Kingdom
Leanne Harmann United States
Richard Tang United States
Anca Florian
Citations per year, relative to Anca Florian Anca Florian (= 1×) peers Carlos Galán‐Arriola

Countries citing papers authored by Anca Florian

Since Specialization
Citations

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

Fields of papers citing papers by Anca Florian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anca Florian

This figure shows the co-authorship network connecting the top 25 collaborators of Anca Florian. A scholar is included among the top collaborators of Anca Florian 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 Anca Florian. Anca Florian 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.
Evers, Georg, Claudia Meier, Michael Bietenbeck, et al.. (2020). Immune Checkpoint Inhibitor-Associated Myocarditis. SHILAP Revista de lepidopterología. 2(4). 630–635. 6 indexed citations
2.
Warman‐Chardon, Jodi, et al.. (2019). The Added Value of Cardiac Magnetic Resonance in Muscular Dystrophies. Journal of Neuromuscular Diseases. 6(4). 389–399. 12 indexed citations
3.
Bietenbeck, Michael, et al.. (2019). Introduction of a CMR-conditional cardiac phantom simulating cardiac anatomy and function and enabling training of interventional CMR procedures. Scientific Reports. 9(1). 19852–19852. 2 indexed citations
4.
Florian, Anca, Alexandru Patrascu, Roman Tremmel, et al.. (2018). Identification of Cardiomyopathy-Associated Circulating miRNA Biomarkers in Muscular Dystrophy Female Carriers Using a Complementary Cardiac Imaging and Plasma Profiling Approach. Frontiers in Physiology. 9. 1770–1770. 17 indexed citations
5.
Boentert, Matthias, Anca Florian, Bianca Dräger, Peter Young, & Ali Yılmaz. (2016). Pattern and prognostic value of cardiac involvement in patients with late-onset pompe disease: a comprehensive cardiovascular magnetic resonance approach. Journal of Cardiovascular Magnetic Resonance. 18(1). 91–91. 23 indexed citations
6.
Becker, Sven, Anca Florian, Alexandru Patrascu, et al.. (2016). Identification of cardiomyopathy associated circulating miRNA biomarkers in patients with muscular dystrophy using a complementary cardiovascular magnetic resonance and plasma profiling approach. Journal of Cardiovascular Magnetic Resonance. 18(1). 25–25. 25 indexed citations
7.
Florian, Anca, Matthias Boentert, Peter Young, et al.. (2015). Characteristic cardiac phenotypes are detected by cardiovascular magnetic resonance in patients with different clinical phenotypes and genotypes of mitochondrial myopathy. Journal of Cardiovascular Magnetic Resonance. 17(1). 40–40. 49 indexed citations
8.
Florian, Anca, et al.. (2015). Cardiac abnormalities in patients with two different mitochondrial myopathy syndromes as detected by cardiovascular magnetic resonance imaging. Journal of Cardiovascular Magnetic Resonance. 17. Q83–Q83. 1 indexed citations
9.
Florian, Anca, Sabine Rösch, Michael Bietenbeck, et al.. (2015). Cardiac involvement in female Duchenne and Becker muscular dystrophy carriers in comparison to their first-degree male relatives: a comparative cardiovascular magnetic resonance study. European Heart Journal - Cardiovascular Imaging. 17(3). 326–333. 55 indexed citations
11.
Jurcuţ, Ruxandra, Simona Găloiu, Anca Florian, et al.. (2014). Quantifying subtle changes in cardiovascular mechanics in acromegaly: a Doppler myocardial imaging study. Journal of Endocrinological Investigation. 37(11). 1081–1090. 12 indexed citations
12.
Florian, Anca, et al.. (2014). Diagnostic value of CMR in young patients with clinically suspected acute myocarditis is determined by cardiac enzymes. Clinical Research in Cardiology. 104(2). 154–163. 9 indexed citations
14.
Haugaa, Kristina H., Bjørnar Grenne, Christian Eek, et al.. (2013). Strain Echocardiography Improves Risk Prediction of Ventricular Arrhythmias After Myocardial Infarction. JACC. Cardiovascular imaging. 6(8). 841–850. 193 indexed citations
15.
Florian, Anca, Pier Giorgio Masci, Stijn De Buck, et al.. (2012). Geometric Assessment of Asymmetric Septal Hypertrophic Cardiomyopathy by CMR. JACC. Cardiovascular imaging. 5(7). 702–711. 34 indexed citations
16.
Florian, Anca, Massimo Slavich, Pier Giorgio Masci, Stefan Janssens, & Jan Bogaert. (2012). Electrocardiographic Q-Wave “Remodeling” in Reperfused ST-Segment Elevation Myocardial Infarction. JACC. Cardiovascular imaging. 5(10). 1003–1013. 7 indexed citations
17.
Erven, K., Anca Florian, Pieter Slagmolen, et al.. (2012). Subclinical Cardiotoxicity Detected by Strain Rate Imaging up to 14 months After Breast Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 85(5). 1172–1178. 93 indexed citations
18.
Amzulescu, Mihaela, Massimo Slavich, Anca Florian, Kaatje Goetschalckx, & Jens‐Uwe Voigt. (2012). Does Two‐Dimensional Image Reconstruction from Three‐Dimensional Full Volume Echocardiography Improve the Assessment of Left Ventricular Morphology and Function?. Echocardiography. 30(1). 55–63. 7 indexed citations
19.
Florian, Anca, K. Erven, Ruxandra Jurcuţ, et al.. (2011). Radiation effects on LV function in breast cancer patients: comparison of conventional, tissue-Doppler and tracking-based assessment. European Heart Journal. 32. 614–614. 1 indexed citations
20.
Slavich, Massimo, Anca Florian, & Jan Bogaert. (2011). The emerging role of magnetic resonance imaging and multidetector computed tomography in the diagnosis of dilated cardiomyopathy. Insights into Imaging. 2(4). 453–469. 6 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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