Éric Allémann

11.7k total citations · 2 hit papers
145 papers, 9.2k citations indexed

About

Éric Allémann is a scholar working on Biomaterials, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Éric Allémann has authored 145 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biomaterials, 36 papers in Molecular Biology and 30 papers in Biomedical Engineering. Recurrent topics in Éric Allémann's work include Nanoparticle-Based Drug Delivery (29 papers), Advanced Drug Delivery Systems (22 papers) and Osteoarthritis Treatment and Mechanisms (17 papers). Éric Allémann is often cited by papers focused on Nanoparticle-Based Drug Delivery (29 papers), Advanced Drug Delivery Systems (22 papers) and Osteoarthritis Treatment and Mechanisms (17 papers). Éric Allémann collaborates with scholars based in Switzerland, France and United States. Éric Allémann's co-authors include Éric Doelker, Robert Gurny, Hatem Fessi, David Quintanar‐Guerrero, Olivier Jordan, Sergio Arturo Galindo-Rodríguez, Jean‐Christophe Leroux, Franz Buchegger, Pierre Maudens and Fanny De Jaeghere and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Advanced Drug Delivery Reviews.

In The Last Decade

Éric Allémann

142 papers receiving 8.9k citations

Hit Papers

State of the art in the delivery of photosensitizers for ... 2002 2026 2010 2018 2002 2004 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Éric Allémann Switzerland 51 3.2k 2.9k 2.7k 2.2k 1.5k 145 9.2k
Yongzhong Du China 59 4.1k 1.3× 2.3k 0.8× 4.5k 1.7× 4.1k 1.9× 1.7k 1.2× 265 12.0k
Yu Zhang China 57 3.4k 1.0× 2.0k 0.7× 3.2k 1.2× 3.6k 1.7× 1.4k 0.9× 508 12.5k
Dae‐Duk Kim South Korea 54 3.2k 1.0× 3.3k 1.2× 1.9k 0.7× 3.1k 1.4× 671 0.5× 293 10.8k
Yu Seok Youn South Korea 50 3.7k 1.1× 2.0k 0.7× 3.0k 1.1× 3.1k 1.4× 1.2k 0.9× 239 9.1k
Xing Tang China 51 2.5k 0.8× 2.7k 0.9× 1.8k 0.7× 2.8k 1.3× 727 0.5× 349 8.9k
Alf Lamprecht Germany 54 2.4k 0.7× 3.4k 1.2× 1.2k 0.4× 2.2k 1.0× 740 0.5× 225 8.9k
Hirofumi Takeuchi Japan 59 2.9k 0.9× 6.5k 2.2× 1.2k 0.4× 2.6k 1.2× 1.2k 0.9× 289 11.3k
Han‐Gon Choi South Korea 65 4.3k 1.3× 6.0k 2.1× 3.7k 1.3× 3.8k 1.8× 2.2k 1.5× 332 14.4k
Kun Na South Korea 59 4.7k 1.4× 1.1k 0.4× 5.2k 1.9× 3.1k 1.4× 2.4k 1.6× 263 11.5k
Jong Oh Kim South Korea 67 5.3k 1.6× 4.3k 1.5× 4.5k 1.7× 4.1k 1.9× 2.2k 1.5× 404 15.9k

Countries citing papers authored by Éric Allémann

Since Specialization
Citations

This map shows the geographic impact of Éric Allémann'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 Éric Allémann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Allémann more than expected).

Fields of papers citing papers by Éric Allémann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Allémann. 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 Éric Allémann. The network helps show where Éric Allémann may publish in the future.

Co-authorship network of co-authors of Éric Allémann

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Allémann. A scholar is included among the top collaborators of Éric Allémann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Éric Allémann. Éric Allémann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Allémann, Éric, et al.. (2025). Promising LOX proteins for cartilage-targeting osteoarthritis therapy. Pharmacological Research. 212. 107627–107627. 4 indexed citations
3.
Morel, Sandrine, Julien Haemmerli, Tomohiro Aoki, et al.. (2025). Enhanced intracranial aneurysm development in a rat model of polycystic kidney disease. Cardiovascular Research. 121(6). 915–928.
5.
Simula, Luca, et al.. (2024). Hyaluronan-based hydrogel delivering glucose to mesenchymal stem cells intended to treat osteoarthritis. International Journal of Pharmaceutics. 657. 124139–124139. 4 indexed citations
6.
Galpérine, Tatiana, Marie Kroemer, Farshid Sadeghipour, et al.. (2023). Dry alginate beads for fecal microbiota transplantation: From model strains to fecal samples. International Journal of Pharmaceutics. 639. 122961–122961. 2 indexed citations
7.
Jacmin, Maxime, Emerson Ferreira Queiroz, Laurence Marcourt, et al.. (2021). Identification of Potential Antiseizure Agents in Boswellia sacra using In Vivo Zebrafish and Mouse Epilepsy Models. ACS Chemical Neuroscience. 12(10). 1791–1801. 10 indexed citations
8.
Guénée, Laure, et al.. (2020). Nano wet milled celecoxib extended release microparticles for local management of chronic inflammation. International Journal of Pharmaceutics. 589. 119783–119783. 19 indexed citations
9.
Neff, L., Cláudia Quintino da Rocha, Wagner Vilegas, et al.. (2020). In Vitro Anti-Inflammatory Activity in Arthritic Synoviocytes of A. brachypoda Root Extracts and Its Unusual Dimeric Flavonoids. Molecules. 25(21). 5219–5219. 11 indexed citations
10.
Dzoyem, Jean Paul, et al.. (2020). A New Cytotoxic Glycocerebroside from Rauvolfia macrophylla Stapf.. Natural Products Chemistry & Research. 8(6). 1–5. 3 indexed citations
11.
Mottas, Inès, et al.. (2019). Development of resiquimod-loaded modified PLA-based nanoparticles for cancer immunotherapy: A kinetic study. European Journal of Pharmaceutics and Biopharmaceutics. 139. 253–261. 30 indexed citations
12.
Rocha, Vinícius Pinto Costa, Cláudia Quintino da Rocha, Emerson Ferreira Queiroz, et al.. (2018). Antileishmanial Activity of Dimeric Flavonoids Isolated from Arrabidaea brachypoda. Molecules. 24(1). 1–1. 218 indexed citations
13.
Mottas, Inès, et al.. (2017). Polymer-based nanoparticles loaded with a TLR7 ligand to target the lymph node for immunostimulation. International Journal of Pharmaceutics. 535(1-2). 444–451. 51 indexed citations
14.
Pansieri, Jonathan, Jean‐François Morfin, Pascaline Rivory, et al.. (2016). Gd-nanoparticles functionalization with specific peptides for ß-amyloid plaques targeting. Journal of Nanobiotechnology. 14(1). 60–60. 53 indexed citations
15.
Buchegger, Franz, et al.. (2005). Biodegradable Nanoparticles for Direct or Two-Step Tumor Immunotargeting. Bioconjugate Chemistry. 17(1). 139–145. 112 indexed citations
17.
Jaeghere, Fanny De, Éric Allémann, Jan Feijén, et al.. (1999). Cellular uptake of nanoparticles made of poly(lactic acid), poly(ethylene oxide) diblock and triblock copolymers. University of Twente Research Information. 727–728. 1 indexed citations
18.
Kristl, Julijana, Éric Allémann, & Robert Gurny. (1996). Formulation and evaluation of zinc-phthalocyanine loaded poly(D,L-lactic acid) nanoparticles. Archive ouverte UNIGE (University of Geneva). 12 indexed citations
19.
Leroux, Jean‐Christophe, Éric Allémann, Éric Doelker, & Robert Gurny. (1995). New Approach for the Preparation of Nanoparticles by an Emulsification-Diffusion Method.. European Journal of Pharmaceutics and Biopharmaceutics. 41(1). 14–18. 139 indexed citations
20.
Allémann, Éric, Robert Gurny, & Éric Doelker. (1993). Drug-loaded nanoparticles : preparation methods and drug targeting issues. European Journal of Pharmaceutics and Biopharmaceutics. 39(5). 173–191. 363 indexed citations

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.

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