Raphaël Leblanc
- Cancer Research top 10%
- Oncology top 10%
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ 4
- Endoplasmic Reticulum Stress and Disease 2
- Cellular transport and secretion 2
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- Sphingolipid Metabolism and Signaling 10
- Extracellular vesicles in disease 4
- Ubiquitin and proteasome pathways 4
- Physiology top 10%
- Erythrocyte Function and Pathophysiology 2
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- Cell Adhesion Molecules Research 3
- Co-authors
- Olivier PeyruchaudDebashish SahayMarion DavidJohnny RibeiroPhilippe ClézardinGábor TigyiDuane D. MillerSue-Chin Lee
- Cited by
- Cancer ResearchOncologyCell Biology
- Journals
- Oncotarget (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Raphaël Leblanc
21 papers receiving 810 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 175
- Oncology 290
- Cell Biology 172
- Molecular Biology 535
- Physiology 35
Countries citing papers authored by Raphaël Leblanc
This map shows the geographic impact of Raphaël Leblanc'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 Raphaël Leblanc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Leblanc more than expected).
Fields of papers citing papers by Raphaël Leblanc
This network shows the impact of papers produced by Raphaël Leblanc. 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 Raphaël Leblanc. The network helps show where Raphaël Leblanc may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Raphaël Leblanc, 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 | 2025 | 0 | |
| 2 | 2023 | 11 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 73 | |
| 9 | 2020 | 39 | |
| 10 | 2019 | 25 | |
| 11 | 2018 | 28 | |
| 12 | 2018 | 42 | |
| 13 | 2016 | 177 | |
| 14 | 2016 | 17 | |
| 15 | 2015 | 55 | |
| 16 | 2014 | 25 | |
| 17 | 2014 | 83 | |
| 18 | 2014 | 43 | |
| 19 | 2014 | 1 | |
| 20 | 2012 | 27 |
About Raphaël Leblanc
Raphaël Leblanc is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 22 papers that have together received 819 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Extracellular vesicles in disease (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Ubiquitin and proteasome pathways (4 papers), Cell Adhesion Molecules Research (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cancer Research (175 citations), Oncology (290 citations) and Cell Biology (172 citations). Raphaël Leblanc has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Olivier Peyruchaud, Debashish Sahay, Marion David, Johnny Ribeiro, Philippe Clézardin, Gábor Tigyi, Duane D. Miller, Sue-Chin Lee, Renukadevi Patil and Jean‐Claude Bordet. Their work appears in journals such as Oncotarget, Proceedings of the National Academy of Sciences, Blood, European Journal of Medicinal Chemistry and Microscopy and Microanalysis.
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.