Madalina Opreanu

736 total citations
8 papers, 572 citations indexed

About

Madalina Opreanu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Madalina Opreanu has authored 8 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Madalina Opreanu's work include Sphingolipid Metabolism and Signaling (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Cardiac pacing and defibrillation studies (2 papers). Madalina Opreanu is often cited by papers focused on Sphingolipid Metabolism and Signaling (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Cardiac pacing and defibrillation studies (2 papers). Madalina Opreanu collaborates with scholars based in United States and Poland. Madalina Opreanu's co-authors include Julia V. Busik, Kelly M. McSorley, Gavin E. Reid, Todd A. Lydic, Andrew Sochacki, Maria Tikhonenko, Walter J. Esselman, Maria B. Grant, Dennis L. Guberski and Sergio Li Calzi and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Madalina Opreanu

8 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madalina Opreanu United States 8 275 177 100 77 66 8 572
Maria Tikhonenko United States 7 287 1.0× 174 1.0× 39 0.4× 75 1.0× 76 1.2× 10 562
Andrew Sochacki United States 9 267 1.0× 156 0.9× 37 0.4× 75 1.0× 59 0.9× 16 537
Pia A Molinatti United Kingdom 7 123 0.4× 163 0.9× 45 0.5× 89 1.2× 80 1.2× 7 462
Masayuki Fukuhara Japan 10 218 0.8× 143 0.8× 65 0.7× 62 0.8× 43 0.7× 13 424
Youde Jiang United States 20 488 1.8× 466 2.6× 59 0.6× 107 1.4× 94 1.4× 59 1.0k
Yaowu Qin China 12 325 1.2× 248 1.4× 27 0.3× 107 1.4× 31 0.5× 18 566
Chika Harada Japan 10 364 1.3× 271 1.5× 19 0.2× 50 0.6× 36 0.5× 18 594
Maha Coucha United States 17 212 0.8× 67 0.4× 62 0.6× 26 0.3× 131 2.0× 33 719
Thomas A. Doser United States 6 321 1.2× 263 1.5× 69 0.7× 53 0.7× 79 1.2× 7 630
P. Senanayake United States 14 267 1.0× 209 1.2× 316 3.2× 77 1.0× 45 0.7× 23 772

Countries citing papers authored by Madalina Opreanu

Since Specialization
Citations

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

Fields of papers citing papers by Madalina Opreanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madalina Opreanu

This figure shows the co-authorship network connecting the top 25 collaborators of Madalina Opreanu. A scholar is included among the top collaborators of Madalina Opreanu 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 Madalina Opreanu. Madalina Opreanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Salehi, Negar, Mojdeh Nasiri, Nicole R. Bianco, et al.. (2016). The Wearable Cardioverter Defibrillator in Nonischemic Cardiomyopathy: A US National Database Analysis. Canadian Journal of Cardiology. 32(10). 1247.e1–1247.e6. 20 indexed citations
2.
Opreanu, Madalina, et al.. (2015). Wearable cardioverter-defibrillator as a bridge to cardiac transplantation: A national database analysis. The Journal of Heart and Lung Transplantation. 34(10). 1305–1309. 33 indexed citations
3.
Tikhonenko, Maria, Todd A. Lydic, Madalina Opreanu, et al.. (2013). N-3 Polyunsaturated Fatty Acids Prevent Diabetic Retinopathy by Inhibition of Retinal Vascular Damage and Enhanced Endothelial Progenitor Cell Reparative Function. PLoS ONE. 8(1). e55177–e55177. 77 indexed citations
4.
Opreanu, Madalina, et al.. (2013). NATIONAL EXPERIENCE WITH WEARABLE CARDIOVERTER-DEFIBRILLATOR USE IN TAKOTSUBO CARDIOMYOPATHY. Journal of the American College of Cardiology. 61(10). E361–E361. 7 indexed citations
5.
Opreanu, Madalina, Maria Tikhonenko, Todd A. Lydic, et al.. (2011). The Unconventional Role of Acid Sphingomyelinase in Regulation of Retinal Microangiopathy in Diabetic Human and Animal Models. Diabetes. 60(9). 2370–2378. 80 indexed citations
6.
Opreanu, Madalina, Todd A. Lydic, Gavin E. Reid, et al.. (2010). Inhibition of Cytokine Signaling in Human Retinal Endothelial Cells through Downregulation of Sphingomyelinases by Docosahexaenoic Acid. Investigative Ophthalmology & Visual Science. 51(6). 3253–3253. 59 indexed citations
7.
Tikhonenko, Maria, Todd A. Lydic, Yun Wang, et al.. (2009). Remodeling of Retinal Fatty Acids in an Animal Model of Diabetes. Diabetes. 59(1). 219–227. 111 indexed citations
8.
Busik, Julia V., Maria Tikhonenko, Ashay D. Bhatwadekar, et al.. (2009). Diabetic retinopathy is associated with bone marrow neuropathy and a depressed peripheral clock. The Journal of Experimental Medicine. 206(13). 2897–2906. 185 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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