Julie Devallière
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 7
- Tissue Engineering and Regenerative Medicine 3
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- RNA Interference and Gene Delivery 3
- Co-authors
- Béatrice Charreau (10 shared papers)Martin L. Yarmush (5 shared papers)Basak E. Uygun (5 shared papers)Thibaut Quillard (4 shared papers)Kevin Dooley (3 shared papers)Jordan S. Pober (3 shared papers)Stéphanie Coupel (2 shared papers)Mathias Chatelais (4 shared papers)
- Journals
- Biochemical Pharmacology (3 papers)The FASEB Journal (2 papers)Biomaterials (2 papers)PLoS ONE (2 papers)Drug Delivery and Translational Research (1 paper)
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Julie Devallière
22 papers receiving 967 citations
Peers
Comparison fields: 5 of 92
- Transplantation 78
- Biomaterials 199
- Rehabilitation 84
- Immunology 198
- Molecular Biology 414
Countries citing papers authored by Julie Devallière
This map shows the geographic impact of Julie Devallière'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 Julie Devallière with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie Devallière more than expected).
Fields of papers citing papers by Julie Devallière
This network shows the impact of papers produced by Julie Devallière. 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 Julie Devallière. The network helps show where Julie Devallière may publish in the future.
Co-authors
The 25 scholars most cited alongside Julie Devallière, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 109 | |
| 2 | 2015 | 104 | |
| 3 | 2011 | 95 | |
| 4 | 2017 | 88 | |
| 5 | 2010 | 77 | |
| 6 | 2020 | 72 | |
| 7 | 2013 | 70 | |
| 8 | 2018 | 63 | |
| 9 | 2009 | 55 | |
| 10 | 2011 | 52 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 25 | |
| 13 | 2013 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2014 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2011 | 14 | |
| 18 | 2012 | 13 | |
| 19 | 2020 | 9 | |
| 20 | 2016 | 9 |
About Julie Devallière
Julie Devallière is a scholar working on Surgery, Molecular Biology, Biomaterials, Genetics and Biomedical Engineering, having authored 22 papers that have together received 972 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), Cell Adhesion Molecules Research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Virus-based gene therapy research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), Tendon Structure and Treatment (3 papers), Wound Healing and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Transplantation (78 citations), Biomaterials (199 citations), Rehabilitation (84 citations), Immunology (198 citations) and Molecular Biology (414 citations). Julie Devallière has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Béatrice Charreau, Martin L. Yarmush, Basak E. Uygun, Thibaut Quillard, Kevin Dooley, Jordan S. Pober, Stéphanie Coupel, Mathias Chatelais, Dan Jane‐wit and Parwiz Abrahimi. Their work appears in journals such as Biochemical Pharmacology, The FASEB Journal, Biomaterials, PLoS ONE and Drug Delivery and Translational 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.