Jérôme Bejaud
Impact in
- Pharmaceutical Science top 2%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Lipid Membrane Structure and Behavior 9
- RNA Interference and Gene Delivery 9
- Advanced biosensing and bioanalysis techniques 4
- Glycosylation and Glycoproteins Research 2
- Biomaterials 12
- Nanoparticle-Based Drug Delivery 12
- Co-authors
- Jean‐Pierre Benoît (15 shared papers)Catherine Passirani (6 shared papers)Emmanuel Garcion (3 shared papers)Audrey Griveau (3 shared papers)Nolwenn Lautram (8 shared papers)Ngoc Trinh Huynh (3 shared papers)Anne-Laure Lainé (2 shared papers)Guillaume Bastiat (4 shared papers)
In The Last Decade
Jérôme Bejaud
26 papers receiving 689 citations
Peers
Comparison fields: 5 of 93
- Pharmaceutical Science 139
- Biomaterials 269
- Molecular Medicine 34
- Molecular Biology 352
- Cancer Research 56
Countries citing papers authored by Jérôme Bejaud
This map shows the geographic impact of Jérôme Bejaud'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 Jérôme Bejaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jérôme Bejaud more than expected).
Fields of papers citing papers by Jérôme Bejaud
This network shows the impact of papers produced by Jérôme Bejaud. 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 Jérôme Bejaud. The network helps show where Jérôme Bejaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Jérôme Bejaud, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 85 | |
| 2 | 2013 | 64 | |
| 3 | 2011 | 51 | |
| 4 | 2014 | 48 | |
| 5 | 2013 | 44 | |
| 6 | 2012 | 44 | |
| 7 | 2014 | 42 | |
| 8 | 2011 | 39 | |
| 9 | 2018 | 33 | |
| 10 | 2012 | 26 | |
| 11 | 2015 | 24 | |
| 12 | 2014 | 21 | |
| 13 | 2020 | 21 | |
| 14 | 2014 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2016 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2006 | 16 | |
| 19 | 2013 | 15 | |
| 20 | 2021 | 15 |
About Jérôme Bejaud
Jérôme Bejaud is a scholar working on Molecular Biology, Biomaterials, Pharmaceutical Science, Organic Chemistry and Oncology, having authored 28 papers that have together received 698 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (12 papers), Lipid Membrane Structure and Behavior (9 papers), RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Advanced Drug Delivery Systems (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Pharmaceutical Science (139 citations), Biomaterials (269 citations), Molecular Medicine (34 citations), Molecular Biology (352 citations) and Cancer Research (56 citations). Jérôme Bejaud has collaborated with scholars based in France, Italy and Argentina. Frequent co-authors include Jean‐Pierre Benoît, Catherine Passirani, Emmanuel Garcion, Audrey Griveau, Nolwenn Lautram, Ngoc Trinh Huynh, Anne-Laure Lainé, Guillaume Bastiat, Catherine Passirani and Anne Vessières. Their work appears in journals such as International Journal of Pharmaceutics, European Journal of Pharmaceutics and Biopharmaceutics, Materials Science and Engineering C, Nanomedicine and Pharmaceutical 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.