Mélanie Vausort

2.4k total citations
34 papers, 1.7k citations indexed

About

Mélanie Vausort is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mélanie Vausort has authored 34 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Cancer Research and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mélanie Vausort's work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and Circular RNAs in diseases (8 papers). Mélanie Vausort is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and Circular RNAs in diseases (8 papers). Mélanie Vausort collaborates with scholars based in Luxembourg, United Kingdom and France. Mélanie Vausort's co-authors include Yvan Devaux, Daniel R. Wagner, Lu Zhang, Antonio Salgado‐Somoza, Jennifer Zangrando, Iain Squire, Leong L. Ng, Francisco Azuaje, Emeline Goretti and Gerry P McCann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Mélanie Vausort

33 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mélanie Vausort Luxembourg 16 1.3k 1.2k 345 129 105 34 1.7k
Philipp Diehl Germany 16 591 0.5× 303 0.3× 395 1.1× 199 1.5× 142 1.4× 40 1.2k
Lisa E. Dorn United States 15 1.2k 1.0× 612 0.5× 441 1.3× 234 1.8× 114 1.1× 22 1.7k
Ingo Volkmann Germany 10 1.4k 1.1× 1.2k 1.0× 379 1.1× 257 2.0× 120 1.1× 23 2.0k
Philipp Jakob Switzerland 13 659 0.5× 491 0.4× 241 0.7× 174 1.3× 66 0.6× 37 1.0k
Andreas Zietzer Germany 16 461 0.4× 236 0.2× 367 1.1× 186 1.4× 127 1.2× 44 988
Sapna Arjun United Kingdom 7 581 0.5× 183 0.2× 204 0.6× 134 1.0× 79 0.8× 10 808
Paul J C Barenbrug Netherlands 9 512 0.4× 435 0.4× 444 1.3× 156 1.2× 24 0.2× 16 988
Jackelyn Valle United States 14 857 0.7× 359 0.3× 437 1.3× 387 3.0× 52 0.5× 20 1.3k
Davide Medica Italy 13 664 0.5× 385 0.3× 52 0.2× 184 1.4× 88 0.8× 21 998
Sandra Voss Germany 18 426 0.3× 153 0.1× 996 2.9× 379 2.9× 153 1.5× 51 1.6k

Countries citing papers authored by Mélanie Vausort

Since Specialization
Citations

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

Fields of papers citing papers by Mélanie Vausort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mélanie Vausort

This figure shows the co-authorship network connecting the top 25 collaborators of Mélanie Vausort. A scholar is included among the top collaborators of Mélanie Vausort 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 Mélanie Vausort. Mélanie Vausort 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.
Vausort, Mélanie, Lu Zhang, Feng He, et al.. (2024). Association of LEF1-AS1 with cardiovascular and neurological complications of COVID-19. SHILAP Revista de lepidopterología. 11. 100280–100280.
2.
Jusić, Amela, et al.. (2023). A Machine Learning Model Based on microRNAs for the Diagnosis of Essential Hypertension. Non-Coding RNA. 9(6). 64–64. 4 indexed citations
3.
Zhang, Lu, et al.. (2023). GATA3 as a Blood-Based RNA Biomarker for Idiopathic Parkinson’s Disease. International Journal of Molecular Sciences. 24(12). 10040–10040. 4 indexed citations
4.
Greco, Simona, Mélanie Vausort, Eric Schordan, et al.. (2022). Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality. Scientific Reports. 12(1). 20048–20048. 11 indexed citations
5.
Tolppanen, Heli, Tuukka Tarvasmäki, Johan Lassus, et al.. (2020). Association of miR-21-5p, miR-122-5p, and miR-320a-3p with 90-Day Mortality in Cardiogenic Shock. International Journal of Molecular Sciences. 21(21). 7925–7925. 14 indexed citations
6.
Vausort, Mélanie, et al.. (2018). A 3-gene panel improves the prediction of left ventricular dysfunction after acute myocardial infarction. International Journal of Cardiology. 254. 28–35. 12 indexed citations
7.
Tolppanen, Heli, Tuukka Tarvasmäki, Johan Lassus, et al.. (2018). Circulating Levels of MicroRNA 423-5p are Associated with 90 day Mortality in Cardiogenic Shock. ESC Heart Failure. 6(1). 98–102. 14 indexed citations
8.
Salgado‐Somoza, Antonio, Lu Zhang, Mélanie Vausort, & Yvan Devaux. (2017). The circular RNA MICRA for risk stratification after myocardial infarction. IJC Heart & Vasculature. 17. 33–36. 123 indexed citations
9.
Zhang, Lu, Antonio Salgado‐Somoza, Mélanie Vausort, Przemysław Leszek, & Yvan Devaux. (2017). A heart-enriched antisense long non-coding RNA regulates the balance between cardiac and skeletal muscle triadin. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1865(2). 247–258. 12 indexed citations
10.
Devaux, Yvan, Antonio Salgado‐Somoza, Josef Dankiewicz, et al.. (2017). Incremental Value of Circulating MiR-122-5p to Predict Outcome after Out of Hospital Cardiac Arrest. Theranostics. 7(10). 2555–2564. 31 indexed citations
11.
Lassus, Johan, Yvan Devaux, Mélanie Vausort, et al.. (2016). Circulating microRNAs miR-21, miR-122a, miR-320a and miR-423 predict mortality in patients with cardiogenic shock. European Heart Journal. 37. 321–321. 1 indexed citations
12.
Seronde, Marie‐France, Mélanie Vausort, Étienne Gayat, et al.. (2015). Circulating microRNAs and Outcome in Patients with Acute Heart Failure. PLoS ONE. 10(11). e0142237–e0142237. 72 indexed citations
13.
Zhang, Lu, Abdullah Hamad, Mélanie Vausort, et al.. (2014). Identification of Candidate Long Noncoding RNAs Associated with Left Ventricular Hypertrophy. Clinical and Translational Science. 8(2). 100–106. 13 indexed citations
14.
Zangrando, Jennifer, Lu Zhang, Mélanie Vausort, et al.. (2014). Identification of candidate long non-coding RNAs in response to myocardial infarction. BMC Genomics. 15(1). 460–460. 94 indexed citations
15.
Vausort, Mélanie, Daniel R. Wagner, & Yvan Devaux. (2014). Long Noncoding RNAs in Patients With Acute Myocardial Infarction. Circulation Research. 115(7). 668–677. 410 indexed citations
16.
Devaux, Yvan, Mélanie Vausort, Gerry P McCann, et al.. (2013). A Panel of 4 microRNAs Facilitates the Prediction of Left Ventricular Contractility after Acute Myocardial Infarction. PLoS ONE. 8(8). e70644–e70644. 105 indexed citations
17.
Devaux, Yvan, Mélanie Vausort, Francisco Azuaje, et al.. (2012). Low Levels of Vascular Endothelial Growth Factor B Predict Left Ventricular Remodeling After Acute Myocardial Infarction. Journal of Cardiac Failure. 18(4). 330–337. 26 indexed citations
18.
Stammet, Pascal, Emeline Goretti, Mélanie Vausort, et al.. (2012). Circulating microRNAs after cardiac arrest*. Critical Care Medicine. 40(12). 3209–3214. 33 indexed citations
19.
Ernens, Isabelle, et al.. (2011). Adenosine Reduces Cell Surface Expression of Toll-Like Receptor 4 and Inflammation in Response to Lipopolysaccharide and Matrix Products. Journal of Cardiovascular Translational Research. 4(6). 790–800. 14 indexed citations
20.
Azuaje, Francisco, et al.. (2010). Transcriptional networks characterize ventricular dysfunction after myocardial infarction: A proof-of-concept investigation. Journal of Biomedical Informatics. 43(5). 812–819. 12 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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