Raphaêl Lis
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Oncology 5
- Cancer Cells and Metastasis 5
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- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Cancer Genomics and Diagnostics 1
- Co-authors
- Arash Rafii (8 shared papers)Joel A. Malek (5 shared papers)Cyril Touboul (6 shared papers)Christophe M. Raynaud (3 shared papers)Denis Querleu (4 shared papers)Massoud Mirshahi (3 shared papers)Mahtab Maleki (2 shared papers)P. Mirshahi (2 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Translational Medicine (2 papers)Nature Immunology (1 paper)Gynecologic Oncology (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- United StatesQatarFrance
In The Last Decade
Raphaêl Lis
10 papers receiving 441 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 168
- Genetics 101
- Reproductive Medicine 76
- Oncology 207
- Molecular Biology 213
Countries citing papers authored by Raphaêl Lis
This map shows the geographic impact of Raphaêl Lis'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 Raphaêl Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaêl Lis more than expected).
Fields of papers citing papers by Raphaêl Lis
This network shows the impact of papers produced by Raphaêl Lis. 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 Raphaêl Lis. The network helps show where Raphaêl Lis may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaêl Lis, 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 | 2010 | 90 | |
| 2 | 2008 | 85 | |
| 3 | 2012 | 64 | |
| 4 | 2014 | 47 | |
| 5 | 2011 | 40 | |
| 6 | 2012 | 38 | |
| 7 | 2017 | 30 | |
| 8 | 2014 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2010 | 1 |
About Raphaêl Lis
Raphaêl Lis is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 448 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Immune Cell Function and Interaction (1 paper), MicroRNA in disease regulation (1 paper), Cancer Genomics and Diagnostics (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Cancer Research (168 citations), Genetics (101 citations), Reproductive Medicine (76 citations), Oncology (207 citations) and Molecular Biology (213 citations). Raphaêl Lis has collaborated with scholars based in United States, Qatar and France. Frequent co-authors include Arash Rafii, Joel A. Malek, Cyril Touboul, Christophe M. Raynaud, Denis Querleu, Massoud Mirshahi, Mahtab Maleki, P. Mirshahi, Eman K. Al‐Azwani and Karsten Suhre. Their work appears in journals such as PLoS ONE, Journal of Translational Medicine, Nature Immunology, Gynecologic Oncology and International Journal of Cancer.
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.