Michael Maskos

7.5k total citations · 2 hit papers
102 papers, 6.1k citations indexed

About

Michael Maskos is a scholar working on Organic Chemistry, Materials Chemistry and Biomaterials. According to data from OpenAlex, Michael Maskos has authored 102 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Organic Chemistry, 28 papers in Materials Chemistry and 27 papers in Biomaterials. Recurrent topics in Michael Maskos's work include Advanced Polymer Synthesis and Characterization (25 papers), Nanoparticle-Based Drug Delivery (22 papers) and Polymer Surface Interaction Studies (21 papers). Michael Maskos is often cited by papers focused on Advanced Polymer Synthesis and Characterization (25 papers), Nanoparticle-Based Drug Delivery (22 papers) and Polymer Surface Interaction Studies (21 papers). Michael Maskos collaborates with scholars based in Germany, United States and Netherlands. Michael Maskos's co-authors include Roland H. Stauber, Dominic Docter, Shirley K. Knauer, Stefan Tenzer, Hansjörg Schild, Jörg Kuharev, Katharina Landfester, Christoph Bantz, Anna Musyanovych and Christoph Reinhardt and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and The Journal of Chemical Physics.

In The Last Decade

Michael Maskos

101 papers receiving 6.0k citations

Hit Papers

Rapid formation of plasma protein corona critically affec... 2011 2026 2016 2021 2013 2011 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Maskos Germany 39 2.6k 1.9k 1.8k 1.5k 1.2k 102 6.1k
Anna Musyanovych Germany 39 3.1k 1.2× 1.8k 1.0× 2.2k 1.2× 1.8k 1.2× 875 0.8× 81 6.6k
Shlomo Margel Israel 47 1.9k 0.7× 2.9k 1.5× 2.5k 1.4× 1.3k 0.9× 1.7k 1.5× 275 8.5k
Holger Schönherr Germany 51 1.6k 0.6× 2.2k 1.2× 3.4k 1.9× 1.5k 1.0× 1.5k 1.3× 307 9.5k
Nicola Tirelli United Kingdom 50 3.1k 1.2× 1.5k 0.8× 2.6k 1.4× 2.0k 1.3× 2.3k 1.9× 197 8.8k
Basit Yameen Germany 32 1.8k 0.7× 1.2k 0.6× 3.0k 1.7× 1.3k 0.8× 815 0.7× 69 6.4k
Sergio Moya Spain 47 1.8k 0.7× 3.1k 1.6× 2.2k 1.2× 1.3k 0.9× 1.9k 1.6× 306 8.9k
Yan Yan China 43 3.0k 1.2× 1.7k 0.9× 2.5k 1.4× 2.1k 1.4× 759 0.7× 131 7.6k
You‐Yeon Won United States 31 1.9k 0.7× 1.8k 1.0× 1.5k 0.9× 2.0k 1.3× 3.1k 2.6× 93 7.3k
Haojun Liang China 44 972 0.4× 2.5k 1.3× 1.8k 1.0× 2.7k 1.8× 1.8k 1.5× 255 7.1k
Ja‐Hyoung Ryu South Korea 42 2.8k 1.1× 1.7k 0.9× 1.7k 0.9× 1.8k 1.2× 1.8k 1.6× 127 5.9k

Countries citing papers authored by Michael Maskos

Since Specialization
Citations

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

Fields of papers citing papers by Michael Maskos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Maskos

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Maskos. A scholar is included among the top collaborators of Michael Maskos 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 Michael Maskos. Michael Maskos 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.
Koltzenburg, Sebastian, et al.. (2024). Polymere: Synthese, Eigenschaften und Anwendungen. 1 indexed citations
2.
Maskos, Michael, et al.. (2024). Selective Decarboxylative Fluorination of β‐Keto Acids in Aqueous Media: 19 F‐NMR‐Assisted Batch Optimization and Transfer to Continuous Flow. Chemistry - A European Journal. 31(14). e202404435–e202404435. 1 indexed citations
3.
Jangizehi, Amir, Hassan Salehi, Alireza Shakeri, et al.. (2024). Challenges of forward osmosis desalination processes using hydrogels as draw agents. Journal of Membrane Science. 714. 123408–123408. 6 indexed citations
4.
Maskos, Michael, et al.. (2023). Impact of residence time distributions in reacting magnesium packed beds on Grignard reagent formation – selectivity of Grignard reagent formation (part 2). Reaction Chemistry & Engineering. 8(11). 2717–2728. 3 indexed citations
5.
Berger, M., et al.. (2022). Performance of nanoparticles for biomedical applications: The in vitro/in vivo discrepancy. PubMed. 3(1). 11303–11303. 21 indexed citations
6.
Sperling, Ralph A., et al.. (2022). Automated Quantum Dots Purification via Solid Phase Extraction. Nanomaterials. 12(12). 1983–1983. 4 indexed citations
7.
Berger, M., et al.. (2021). Influence of oscillating main flow on separation efficiency in asymmetrical flow field-flow fractionation. Journal of Chromatography A. 1640. 461941–461941. 2 indexed citations
9.
Alebrand, Sabine, et al.. (2017). Selective solvent evaporation from binary mixtures of water and tetrahydrofuran using a falling film microreactor. Green Processing and Synthesis. 6(4). 403–411. 5 indexed citations
10.
Treuel, Lennart, Dominic Docter, Michael Maskos, & Roland H. Stauber. (2015). Protein corona – from molecular adsorption to physiological complexity. Beilstein Journal of Nanotechnology. 6. 857–873. 110 indexed citations
11.
Dwivedi, Mridula, Rakesh Kumar Harishchandra, Olga Koshkina, Michael Maskos, & Hans‐Joachim Galla. (2014). Size Influences the Effect of Hydrophobic Nanoparticles on Lung Surfactant Model Systems. Biophysical Journal. 106(1). 289–298. 78 indexed citations
12.
Majee, Arghya, et al.. (2013). Specific salt effects on thermophoresis of charged colloids. Soft Matter. 10(12). 1931–1931. 73 indexed citations
13.
Tenzer, Stefan, Dominic Docter, Jörg Kuharev, et al.. (2013). Rapid formation of plasma protein corona critically affects nanoparticle pathophysiology. Nature Nanotechnology. 8(10). 772–781. 1809 indexed citations breakdown →
14.
Kasper, Jennifer, Maria Iris Hermanns, Christoph Bantz, et al.. (2012). Interactions of silica nanoparticles with lung epithelial cells and the association to flotillins. Archives of Toxicology. 87(6). 1053–1065. 44 indexed citations
15.
Kasper, Jennifer, Maria Iris Hermanns, Christoph Bantz, et al.. (2012). Flotillin-involved uptake of silica nanoparticles and responses of an alveolar-capillary barrier in vitro. European Journal of Pharmaceutics and Biopharmaceutics. 84(2). 275–287. 30 indexed citations
16.
Maskos, Michael, et al.. (2011). Association of a Cylindrical Polyelectrolyte Brush with Tetravalent Counterions. Macromolecular Rapid Communications. 32(6). 523–527. 11 indexed citations
17.
Scherer, Christian, et al.. (2010). Characterization of Polymer Nanoparticles by Asymmetrical Flow Field Flow Fractionation (AF-FFF). Journal of Nanoscience and Nanotechnology. 10(10). 6834–6839. 18 indexed citations
18.
Abbel, Robert, Michael F. Gross, Dieter Schollmeyer, et al.. (2006). Hockey‐Puck Micelles from Oligo(p‐benzamide)‐b‐PEG Rod–Coil Block Copolymers. Angewandte Chemie International Edition. 45(18). 2969–2975. 59 indexed citations
19.
Maskos, Michael, et al.. (2004). Colloid–polymer mixtures in solution with refractive index matched acrylate colloids. Journal of Colloid and Interface Science. 279(2). 447–457. 11 indexed citations
20.
Schmidt, Manfred, et al.. (2003). Dye Loading of Amphiphilic Poly(organosiloxane) Nanoparticles. Angewandte Chemie International Edition. 42(15). 1714–1717. 38 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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