Geoffrey Prévot

641 total citations
11 papers, 142 citations indexed

About

Geoffrey Prévot is a scholar working on Biomedical Engineering, Biomaterials and Immunology. According to data from OpenAlex, Geoffrey Prévot has authored 11 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 4 papers in Biomaterials and 4 papers in Immunology. Recurrent topics in Geoffrey Prévot's work include Characterization and Applications of Magnetic Nanoparticles (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Autophagy in Disease and Therapy (2 papers). Geoffrey Prévot is often cited by papers focused on Characterization and Applications of Magnetic Nanoparticles (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and Autophagy in Disease and Therapy (2 papers). Geoffrey Prévot collaborates with scholars based in France, United States and Spain. Geoffrey Prévot's co-authors include Sylvie Crauste–Manciet, Philippe Barthélémy, Jonathan Daniel, Benjamin Dehay, Mireille Blanchard‐Desce, Federico N. Soria, Erwan Bézard, Abraham J. P. Teunissen, Martine Duonor-Cérutti and Willem J. M. Mulder and has published in prestigious journals such as International Journal of Molecular Sciences, Arteriosclerosis Thrombosis and Vascular Biology and International Journal of Pharmaceutics.

In The Last Decade

Geoffrey Prévot

11 papers receiving 142 citations

Peers

Geoffrey Prévot

BIOMA

EPIDE

PHYSI

Bertran Salvador-Mata Spain

Gamze Aykut Türkiye

Zhenghua Wei China

Xiyu Li China

Yuanyuan Hu China

Binapani Mahaling India

Karin Kornmueller Austria

Ju-Hyun Lee United States

W. А. Khachatryan Russia

Yaqi Yang China

Bertran Salvador-Mata Spain

Geoffrey Prévot

37 ×0.9

80 ×2.0

41 ×1.5

BIOMA

11 ×0.5

EPIDE

27 ×1.1

PHYSI

Citations per year, relative to Geoffrey Prévot Geoffrey Prévot (= 1×) peers Bertran Salvador-Mata

Countries citing papers authored by Geoffrey Prévot

Since Specialization

Citations

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

Fields of papers citing papers by Geoffrey Prévot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey Prévot

This figure shows the co-authorship network connecting the top 25 collaborators of Geoffrey Prévot. A scholar is included among the top collaborators of Geoffrey Prévot 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 Geoffrey Prévot. Geoffrey Prévot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Arotçarena, Marie-Laure, Federico N. Soria, Évelyne Doudnikoff, et al.. (2022). Acidic nanoparticles protect against α‐synuclein‐induced neurodegeneration through the restoration of lysosomal function. Aging Cell. 21(4). e13584–e13584. 29 indexed citations

Ordovás, José M., Abraham J. P. Teunissen, Cynthia L. Miller, et al.. (2022). Using mTOR Inhibitor Nanoimmunotherapy to Induce Cardiac Allograft Tolerance in Non-Human Primates. The Journal of Heart and Lung Transplantation. 41(4). S148–S149. 1 indexed citations

Teunissen, Abraham J. P., et al.. (2021). Embracing nanomaterials' interactions with the innate immune system. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 13(6). e1719–e1719. 16 indexed citations

Teunissen, Abraham J. P., Mandy M. T. van Leent, Geoffrey Prévot, et al.. (2021). Targeting Trained Innate Immunity With Nanobiologics to Treat Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 41(6). 1839–1850. 8 indexed citations

Prévot, Geoffrey, Stéphane Mornet, Mathieu Duttine, et al.. (2021). A Nano-Emulsion Platform Functionalized with a Fully Human scFv-Fc Antibody for Atheroma Targeting: Towards a Theranostic Approach to Atherosclerosis. International Journal of Molecular Sciences. 22(10). 5188–5188. 19 indexed citations

Prévot, Geoffrey, Jonathan Daniel, Coralie Genevois, et al.. (2020). Multimodal optical contrast agents as new tools for monitoring and tuning nanoemulsion internalisation into cancer cells. From live cell imaging to in vivo imaging of tumours. Nanoscale Advances. 2(4). 1590–1602. 8 indexed citations

Prévot, Geoffrey, et al.. (2020). Synthesis and Intracellular Uptake of Rhodamine–Nucleolipid Conjugates into a Nanoemulsion Vehicle. ACS Omega. 5(11). 5815–5823. 9 indexed citations

Prévot, Geoffrey, Federico N. Soria, Marie-Laure Thiolat, et al.. (2018). Harnessing Lysosomal pH through PLGA Nanoemulsion as a Treatment of Lysosomal-Related Neurodegenerative Diseases. Bioconjugate Chemistry. 29(12). 4083–4089. 23 indexed citations

Prévot, Geoffrey, Martine Duonor-Cérutti, Jeanny Laroche‐Traineau, et al.. (2017). Data on atherosclerosis specific antibody conjugation to nanoemulsions. Data in Brief. 15. 824–827. 4 indexed citations

10.

Prévot, Geoffrey, Stéphane Mornet, Tina Kauss, et al.. (2017). Data on iron oxide core oil-in-water nanoemulsions for atherosclerosis imaging. Data in Brief. 15. 876–881. 5 indexed citations

11.

Prévot, Geoffrey, Tina Kauss, Alexandra Gaubert, et al.. (2017). Iron oxide core oil-in-water nanoemulsion as tracer for atherosclerosis MPI and MRI imaging. International Journal of Pharmaceutics. 532(2). 669–676. 20 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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