Julien Wicinski
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 2
- Oncology top 2%
- Cancer Cells and Metastasis 5
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 4
- CRISPR and Genetic Engineering 2
- Ubiquitin and proteasome pathways 2
- Immunology top 10%
- Biotechnology top 5%
-
- Autophagy in Disease and Therapy 1
- Co-authors
- Christophe GinestierEmmanuelle Charafe‐JauffretDaniel BirnbaumMax S. WichaFrançois BertucciPascal FinettiGabriela DontuMark E. Diebel
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Julien Wicinski
16 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 920
- Oncology 1.6k
- Molecular Biology 1.5k
- Immunology 335
- Biotechnology 118
Countries citing papers authored by Julien Wicinski
This map shows the geographic impact of Julien Wicinski'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 Julien Wicinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Wicinski more than expected).
Fields of papers citing papers by Julien Wicinski
This network shows the impact of papers produced by Julien Wicinski. 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 Julien Wicinski. The network helps show where Julien Wicinski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julien Wicinski, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 39 | |
| 5 | 2021 | 2 | |
| 6 | 2018 | 15 | |
| 7 | Salinomycin kills cancer stem cells by sequestering iron in lysosomesbreakdown → | 2017 | 465 |
| 8 | 2017 | 108 | |
| 9 | 2014 | 1 | |
| 10 | 2014 | 33 | |
| 11 | 2013 | 113 | |
| 12 | 2012 | 124 | |
| 13 | CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenograftsbreakdown → | 2010 | 588 |
| 14 | Breast Cancer Cell Lines Contain Functional Cancer Stem Cells with Metastatic Capacity and a Distinct Molecular Signaturebreakdown → | 2009 | 935 |
| 15 | 2009 | 176 | |
| 16 | 2008 | 1 |
About Julien Wicinski
Julien Wicinski is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 16 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer Cells and Metastasis (5 papers), Genomics and Chromatin Dynamics (4 papers), CRISPR and Genetic Engineering (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (2 papers), MicroRNA in disease regulation (2 papers) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Cancer Research (920 citations), Oncology (1.6k citations) and Molecular Biology (1.5k citations). Julien Wicinski has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Christophe Ginestier, Emmanuelle Charafe‐Jauffret, Daniel Birnbaum, Max S. Wicha, François Bertucci, Pascal Finetti, Gabriela Dontu, Mark E. Diebel, Olivier Cabaud and Florence Monville. Their work appears in journals such as Cell, Journal of Clinical Investigation and Cancer 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.