Carmen Urbich
- Molecular Biology top 0.1%
- Cancer Research top 0.1%
- Surgery top 0.5%
- Genetics top 0.1%
- Oncology top 0.5%
- Co-authors
- Stefanie DimmelerAndreas M. ZeiherAlexandra AicherChristopher HeeschenHans MartinElisabeth DernbachStephan FichtlschererMariuca Vasa
- Topics
- Angiogenesis and VEGF in Cancer (40 papers)Mesenchymal stem cell research (14 papers)MicroRNA in disease regulation (10 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Carmen Urbich
78 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 14.1k
- Cancer Research 5.8k
- Surgery 4.4k
- Genetics 3.6k
- Oncology 2.9k
Countries citing papers authored by Carmen Urbich
This map shows the geographic impact of Carmen Urbich'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 Carmen Urbich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Urbich more than expected).
Fields of papers citing papers by Carmen Urbich
This network shows the impact of papers produced by Carmen Urbich. 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 Carmen Urbich. The network helps show where Carmen Urbich may publish in the future.
Co-authorship network of co-authors of Carmen Urbich
This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Urbich. A scholar is included among the top collaborators of Carmen Urbich 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 Carmen Urbich. Carmen Urbich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Atheroprotective communication between endothelial cells and smooth muscle cells through miRNAsbreakdown → | 1060 |
| 2 | Abstract 11676: Atheroprotective Communication Between Endothelial Cells and Smooth Muscle Cells via KLF2-Dependent Enrichment of miRNAs in Microvesicles | 2 |
| 3 | 166 | |
| 4 | 268 | |
| 5 | 32 | |
| 6 | MicroRNA-92a Controls Angiogenesis and Functional Recovery of Ischemic Tissues in Micebreakdown → | 987 |
| 7 | 29 | |
| 8 | Role of microRNAs in vascular diseases, inflammation, and angiogenesisbreakdown → | 739 |
| 9 | 247 | |
| 10 | 208 | |
| 11 | 102 | |
| 12 | 140 | |
| 13 | 435 | |
| 14 | 114 | |
| 15 | Soluble factors released by endothelial progenitor cells promote migration of endothelial cells and cardiac resident progenitor cellsbreakdown → | 590 |
| 16 | 200 | |
| 17 | 48 | |
| 18 | Essential role of endothelial nitric oxide synthase for mobilization of stem and progenitor cellsbreakdown → | 1047 |
| 19 | 56 | |
| 20 | 19 |
About Carmen Urbich
Carmen Urbich is a scholar working on Cancer Research, Genetics and Immunology and Allergy, having authored 78 papers that have together received 20.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (40 papers), Mesenchymal stem cell research (14 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (5.8k citations), Genetics (3.6k citations) and Molecular Biology (14.1k citations). Carmen Urbich has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefanie Dimmeler, Andreas M. Zeiher, Alexandra Aicher, Christopher Heeschen, Hans Martin, Elisabeth Dernbach, Stephan Fichtlscherer, Mariuca Vasa, Ralf Lehmann and Lothar Rössig. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.