Carlos le Sage
- Cancer Research top 0.2%
- MicroRNA in disease regulation 20
- Cancer-related molecular mechanisms research 12
- Molecular Biology top 1%
- RNA modifications and cancer 10
- DNA Repair Mechanisms 4
- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 3
- Ubiquitin and proteasome pathways 3
- Aging top 5%
- Oncology top 5%
- Cancer-related Molecular Pathways 3
- Reproductive Medicine top 5%
- Co-authors
- Reuven AgamiRemco NagelMariëtte SchrierMartijn KeddeP. Mathijs VoorhoeveDavid A. EganAnja DuursmaJoachim A.F. Oude Vrielink
- Partner nations
- NetherlandsUnited KingdomItaly
In The Last Decade
Carlos le Sage
31 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 4.2k
- Molecular Biology 5.3k
- Aging 45
- Oncology 568
- Reproductive Medicine 150
Countries citing papers authored by Carlos le Sage
This map shows the geographic impact of Carlos le Sage'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 Carlos le Sage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos le Sage more than expected).
Fields of papers citing papers by Carlos le Sage
This network shows the impact of papers produced by Carlos le Sage. 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 Carlos le Sage. The network helps show where Carlos le Sage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos le Sage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2021 | 18 | |
| 3 | 2020 | 6 | |
| 4 | 2019 | 13 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 59 | |
| 7 | 2016 | 14 | |
| 8 | 2015 | 104 | |
| 9 | 2012 | 214 | |
| 10 | 2012 | 148 | |
| 11 | 2011 | 81 | |
| 12 | 2009 | 83 | |
| 13 | 2008 | 392 | |
| 14 | The micrornas mir-373 and mir-520c promote tumor migration, invasion and metastasis | 2008 | 1 |
| 15 | 2008 | 448 | |
| 16 | The microRNAs miR-373 and miR-520c promote tumour invasion and metastasisbreakdown → | 2008 | 800 |
| 17 | RNA-Binding Protein Dnd1 Inhibits MicroRNA Access to Target mRNAbreakdown → | 2007 | 591 |
| 18 | 2007 | 50 | |
| 19 | A Genetic Screen Implicates miRNA-372 and miRNA-373 As Oncogenes in Testicular Germ Cell Tumorsbreakdown → | 2006 | 1023 |
| 20 | 2006 | 26 |
About Carlos le Sage
Carlos le Sage is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 31 papers that have together received 6.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (10 papers), DNA Repair Mechanisms (4 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (4.2k citations), Molecular Biology (5.3k citations) and Aging (45 citations). Carlos le Sage has collaborated with scholars based in Netherlands, United Kingdom and Italy. Frequent co-authors include Reuven Agami, Remco Nagel, Mariëtte Schrier, Martijn Kedde, P. Mathijs Voorhoeve, David A. Egan, Anja Duursma, Joachim A.F. Oude Vrielink, Eitan Zlotorynski and Gerrit A. Meijer. Their work appears in journals such as Cell, Journal of Biological Chemistry and Circulation.
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.