Karine Tréguer
- Molecular Biology top 10%
- Cancer Research top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Immunology
- Cell Biology top 10%
- Co-authors
- Stefanie DimmelerEduard HergenreiderSusanne HeydtAnton J.G. HorrevoetsThomas BoettgerMargot P. SchefferXiaoke YinManuel Mayr
- Topics
- Sphingolipid Metabolism and Signaling (3 papers)Extracellular vesicles in disease (2 papers)Endoplasmic Reticulum Stress and Disease (2 papers)
In The Last Decade
Karine Tréguer
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.2k
- Cancer Research 769
- Cardiology and Cardiovascular Medicine 192
- Immunology 167
- Cell Biology 134
Countries citing papers authored by Karine Tréguer
This map shows the geographic impact of Karine Tréguer'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 Karine Tréguer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karine Tréguer more than expected).
Fields of papers citing papers by Karine Tréguer
This network shows the impact of papers produced by Karine Tréguer. 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 Karine Tréguer. The network helps show where Karine Tréguer may publish in the future.
Co-authorship network of co-authors of Karine Tréguer
This figure shows the co-authorship network connecting the top 25 collaborators of Karine Tréguer. A scholar is included among the top collaborators of Karine Tréguer 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 Karine Tréguer. Karine Tréguer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 80 | |
| 5 | 72 | |
| 6 | 68 | |
| 7 | 10 | |
| 8 | 49 | |
| 9 | Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAsbreakdown → | 1060 |
| 10 | 51 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | Abstract 11676: Atheroprotective Communication Between Endothelial Cells and Smooth Muscle Cells via KLF2-Dependent Enrichment of miRNAs in Microvesicles | 2 |
| 14 | 35 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | 14 |
About Karine Tréguer
Karine Tréguer is a scholar working on Geriatrics and Gerontology, Cell Biology and Molecular Biology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (3 papers), Extracellular vesicles in disease (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (769 citations), Molecular Biology (1.2k citations) and Cardiology and Cardiovascular Medicine (192 citations). Karine Tréguer has collaborated with scholars based in France, Germany and Canada. Frequent co-authors include Stefanie Dimmeler, Eduard Hergenreider, Susanne Heydt, Anton J.G. Horrevoets, Thomas Boettger, Margot P. Scheffer, Xiaoke Yin, Manuel Mayr, Carmen Urbich and Achilleas S. Frangakis. Their work appears in journals such as Circulation, PLoS ONE and Nature Cell Biology.
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.