Mélanie Vausort
- Molecular Biology top 10%
- Cancer Research top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Immunology
- Co-authors
- Yvan DevauxDaniel R. WagnerLu ZhangAntonio Salgado‐SomozaJennifer ZangrandoIain SquireLeong L. NgFrancisco Azuaje
- Topics
- Cancer-related molecular mechanisms research (12 papers)MicroRNA in disease regulation (11 papers)Circular RNAs in diseases (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONECirculation Research
- Partner nations
- LuxembourgUnited KingdomFrance
In The Last Decade
Mélanie Vausort
33 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.3k
- Cancer Research 1.2k
- Cardiology and Cardiovascular Medicine 345
- Surgery 129
- Immunology 105
Countries citing papers authored by Mélanie Vausort
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 14 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 123 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | Circulating microRNAs miR-21, miR-122a, miR-320a and miR-423 predict mortality in patients with cardiogenic shock | 1 |
| 12 | 72 | |
| 13 | 13 | |
| 14 | 94 | |
| 15 | 410 | |
| 16 | 105 | |
| 17 | 26 | |
| 18 | 33 | |
| 19 | 14 | |
| 20 | 12 |
About Mélanie Vausort
Mélanie Vausort is a scholar working on Cancer Research, Physiology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers) and Circular RNAs in diseases (8 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.3k citations) and Cardiology and Cardiovascular Medicine (345 citations). Mélanie Vausort has collaborated with scholars based in Luxembourg, United Kingdom and France. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.
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.