Maya Thanou

9.1k total citations · 3 hit papers
90 papers, 7.0k citations indexed

About

Maya Thanou is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Maya Thanou has authored 90 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Biomedical Engineering, 30 papers in Molecular Biology and 18 papers in Materials Chemistry. Recurrent topics in Maya Thanou's work include RNA Interference and Gene Delivery (24 papers), Ultrasound and Hyperthermia Applications (19 papers) and Advanced Drug Delivery Systems (17 papers). Maya Thanou is often cited by papers focused on RNA Interference and Gene Delivery (24 papers), Ultrasound and Hyperthermia Applications (19 papers) and Advanced Drug Delivery Systems (17 papers). Maya Thanou collaborates with scholars based in United Kingdom, Netherlands and France. Maya Thanou's co-authors include Thomas J. Kean, Hans E. Junginger, J. Coos Verhoef, J. Coos Verhoef, Bogdan I. Florea, Susanne Roth, Gerrit Borchard, Andrew D. Miller, N. Quirke and Max Whitby and has published in prestigious journals such as Nano Letters, Nature Nanotechnology and Biomaterials.

In The Last Decade

Maya Thanou

84 papers receiving 6.9k citations

Hit Papers

Biodegradation, biodistribution and toxicity of chitosan 2001 2026 2009 2017 2009 2010 2001 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Thanou United Kingdom 34 2.6k 2.4k 2.3k 1.5k 808 90 7.0k
Lee Yong Lim Australia 49 3.4k 1.3× 2.5k 1.0× 1.9k 0.8× 1.5k 1.0× 623 0.8× 182 9.1k
Karsten Mäder Germany 47 1.9k 0.7× 2.0k 0.8× 2.7k 1.2× 1.5k 1.0× 852 1.1× 200 7.5k
Christine Vauthier France 51 3.9k 1.5× 2.2k 0.9× 2.8k 1.3× 1.8k 1.2× 963 1.2× 143 8.4k
Snow Stolnik United Kingdom 46 2.9k 1.1× 3.1k 1.3× 1.9k 0.8× 1.6k 1.0× 669 0.8× 131 7.6k
Gerrit Borchard Switzerland 49 2.5k 1.0× 3.0k 1.3× 2.9k 1.3× 1.2k 0.8× 536 0.7× 168 8.8k
Wahid Khan India 37 2.2k 0.9× 2.1k 0.9× 1.4k 0.6× 1.6k 1.0× 878 1.1× 81 6.6k
Edith Mathiowitz United States 43 2.1k 0.8× 1.4k 0.6× 2.3k 1.0× 1.3k 0.9× 489 0.6× 130 6.6k
Martin C. Garnett United Kingdom 46 2.6k 1.0× 2.2k 1.0× 1.3k 0.6× 1.3k 0.8× 643 0.8× 131 6.5k
Alejandro Sosnik Israel 47 2.8k 1.1× 1.7k 0.7× 2.5k 1.1× 1.6k 1.0× 920 1.1× 181 8.0k
Youngro Byun South Korea 49 2.1k 0.8× 3.2k 1.4× 1.2k 0.5× 1.6k 1.0× 464 0.6× 261 7.8k

Countries citing papers authored by Maya Thanou

Since Specialization
Citations

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

Fields of papers citing papers by Maya Thanou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Thanou

This figure shows the co-authorship network connecting the top 25 collaborators of Maya Thanou. A scholar is included among the top collaborators of Maya Thanou 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 Maya Thanou. Maya Thanou 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.
Körük, Hasan, Chris Payne, Paul Cressey, Maya Thanou, & Antonios N. Pouliopoulos. (2025). Delivering Gd-Labeled IgG Antibodies Into the Mouse Brain Following Focused Ultrasound Treatment. Ultrasound in Medicine & Biology. 51(6). 1018–1027. 1 indexed citations
2.
Jiménez, Nóe, et al.. (2025). Acoustic holography in biomedical applications. Physics in Medicine and Biology. 70(6). 06TR01–06TR01. 3 indexed citations
3.
Cressey, Paul, et al.. (2025). Liposomes for Magnetic Resonance Image-Guided Drug Delivery; Lipid Chain Length Affects Drug Release and MRI Relaxivity. Molecules. 30(8). 1729–1729. 1 indexed citations
4.
Morgan, David, Lea Ann Dailey, Miguel N. Centelles, et al.. (2025). The synthesis and optical properties of Cu–In–S/ZnS nanocrystals in buffer solution for near-infrared fluorescence imaging. Journal of Materials Chemistry B. 13(20). 5871–5879.
5.
Ding, Ning, et al.. (2024). Hybrid Milk Extracellular Vesicles as Potential Systems for Oral Delivery of siRNA. Advanced Therapeutics. 7(3). 5 indexed citations
6.
Sultan, Hossam H., Ge Zhang, Maya Thanou, et al.. (2024). A meta-analysis of the effect of ultrasound activation parameters on phase-change nanodroplets in imaging and therapy. 2. 3 indexed citations
7.
Payne, Chris, Paul Cressey, Elwira Szychot, et al.. (2024). Bi-modal confirmation of liposome delivery to the brain after focused ultrasound-induced blood-brain barrier opening. Heliyon. 10(22). e39972–e39972. 5 indexed citations
8.
Fairclough, Simon M., David Morgan, Lea Ann Dailey, et al.. (2024). Interface Engineering of Water-Dispersible Near-Infrared-Emitting CuInZnS/ZnSe/ZnS Quantum Dots. Crystal Growth & Design. 24(15). 6275–6283. 1 indexed citations
9.
Centelles, Miguel N., et al.. (2023). Development of Cationic Lipid LAH4-L1 siRNA Complexes for Focused Ultrasound Enhanced Tumor Uptake. Molecular Pharmaceutics. 20(5). 2341–2351. 6 indexed citations
10.
Ahmed, Mohammed, Michael Canney, Alexandre Carpentier, Maya Thanou, & Ahmed Idbaïh. (2023). Unveiling the enigma of the blood–brain barrier in glioblastoma: current advances from preclinical and clinical studies. Current Opinion in Oncology. 35(6). 522–528. 13 indexed citations
12.
Proctor, Gordon, et al.. (2020). Emerging nanomaterials for dental treatments. Emerging Topics in Life Sciences. 4(6). 613–625. 21 indexed citations
13.
Long, Nicholas J., et al.. (2019). A glassware-free combinatorial synthesis of green quantum dots using bubble wrap. RSC Advances. 9(29). 16851–16855. 4 indexed citations
14.
Huang, Yu, Boram Gu, Cong Liu, et al.. (2019). Thermosensitive Liposome-Mediated Drug Delivery in Chemotherapy: Mathematical Modelling for Spatio–temporal Drug Distribution and Model-Based Optimisation. Pharmaceutics. 11(12). 637–637. 13 indexed citations
15.
Hernández‐Gil, Javier, et al.. (2019). Examination of zinc ferrites vs. iron oxides as contrast agents for microwave systems. Research Portal (King's College London). 8739407. 1 indexed citations
16.
Fairclough, Simon M., Michelle Ma, Graeme Hogarth, et al.. (2018). An atom efficient, single-source precursor route to plasmonic CuS nanocrystals. Nanoscale Advances. 1(2). 522–526. 21 indexed citations
17.
Centelles, Miguel N., Michael Wright, Wladyslaw Gedroyc, & Maya Thanou. (2016). Focused ultrasound induced hyperthermia accelerates and increases the uptake of anti-HER-2 antibodies in a xenograft model. Pharmacological Research. 114. 144–151. 18 indexed citations
18.
Lin, Jiangli, N. Quirke, Maya Thanou, & Max Whitby. (2008). Carbon Nanopipe Dispersions in aqueous solutions and their effect on cell viability. TechConnect Briefs. 2(2008). 516–518. 1 indexed citations
19.
Kean, Thomas J., et al.. (2004). Poster Session 2 — Material Science. Journal of Pharmacy and Pharmacology. 56(Supplement_1). 52–56.

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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