Svenja Winzen

2.1k total citations · 1 hit paper
17 papers, 1.8k citations indexed

About

Svenja Winzen is a scholar working on Biomaterials, Molecular Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Svenja Winzen has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomaterials, 8 papers in Molecular Biology and 7 papers in Surfaces, Coatings and Films. Recurrent topics in Svenja Winzen's work include Nanoparticle-Based Drug Delivery (8 papers), Polymer Surface Interaction Studies (7 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Svenja Winzen is often cited by papers focused on Nanoparticle-Based Drug Delivery (8 papers), Polymer Surface Interaction Studies (7 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Svenja Winzen collaborates with scholars based in Germany, United States and Australia. Svenja Winzen's co-authors include Katharina Landfester, Volker Mailänder, Frederik R. Wurm, Kristin Mohr, Susanne Schöttler, Tobias Steinbach, Greta Becker, Grit Baier, Klaus Mohr and Volker Mailaender and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Nanotechnology and Biomaterials.

In The Last Decade

Svenja Winzen

17 papers receiving 1.8k citations

Hit Papers

Protein adsorption is required for stealth effect of poly... 2016 2026 2019 2022 2016 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svenja Winzen Germany 13 1.0k 661 594 394 328 17 1.8k
Kristin Mohr Germany 15 966 1.0× 628 1.0× 606 1.0× 337 0.9× 346 1.1× 18 1.9k
Johanna Simon Germany 24 1.3k 1.3× 957 1.4× 742 1.2× 449 1.1× 355 1.1× 64 2.3k
Svenja Morsbach Germany 24 900 0.9× 761 1.2× 618 1.0× 332 0.8× 337 1.0× 63 1.9k
Tobias Steinbach Germany 18 1.1k 1.1× 582 0.9× 488 0.8× 332 0.8× 407 1.2× 31 2.0k
Greta Becker Germany 8 834 0.8× 451 0.7× 438 0.7× 260 0.7× 211 0.6× 8 1.4k
Susanne Schöttler Germany 12 1.4k 1.4× 880 1.3× 841 1.4× 586 1.5× 417 1.3× 15 2.4k
Dinesh B. Shenoy United States 16 1.0k 1.0× 540 0.8× 576 1.0× 418 1.1× 285 0.9× 24 1.9k
Sandra Ritz Germany 22 672 0.7× 519 0.8× 616 1.0× 262 0.7× 630 1.9× 42 2.0k
P. Quellec France 6 1.7k 1.6× 824 1.2× 870 1.5× 346 0.9× 361 1.1× 8 2.5k
Stephan Harnisch Germany 6 1.1k 1.1× 591 0.9× 592 1.0× 261 0.7× 241 0.7× 6 1.7k

Countries citing papers authored by Svenja Winzen

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Winzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Winzen

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

All Works

17 of 17 papers shown
1.
Kienzle, Arne, Carsten Berges, Jonathan Schupp, et al.. (2017). Dendritic Mesoporous Silica Nanoparticles for pH‐Stimuli‐Responsive Drug Delivery of TNF‐Alpha. Advanced Healthcare Materials. 6(13). 53 indexed citations
2.
Kienzle, Arne, Carsten Berges, Jonathan Schupp, et al.. (2017). Drug Delivery: Dendritic Mesoporous Silica Nanoparticles for pH‐Stimuli‐Responsive Drug Delivery of TNF‐Alpha (Adv. Healthcare Mater. 13/2017). Advanced Healthcare Materials. 6(13). 2 indexed citations
3.
Müller, Julius, Kristin Bauer, Domenik Prozeller, et al.. (2016). Coating nanoparticles with tunable surfactants facilitates control over the protein corona. Biomaterials. 115. 1–8. 96 indexed citations
4.
Schöttler, Susanne, Greta Becker, Svenja Winzen, et al.. (2016). Protein adsorption is required for stealth effect of poly(ethylene glycol)- and poly(phosphoester)-coated nanocarriers. Nature Nanotechnology. 11(4). 372–377. 1041 indexed citations breakdown →
5.
Winzen, Svenja, Kaloian Koynov, Katharina Landfester, & Kristin Mohr. (2016). Fluorescence labels may significantly affect the protein adsorption on hydrophilic nanomaterials. Colloids and Surfaces B Biointerfaces. 147. 124–128. 16 indexed citations
6.
Morsbach, Svenja, Johannes Elbert, Christian Rüttiger, et al.. (2016). Polyvinylferrocene-Based Amphiphilic Block Copolymers Featuring Functional Junction Points for Cross-Linked Micelles. Macromolecules. 49(9). 3406–3414. 29 indexed citations
7.
Mukherji, Debashish, Manfred Wagner, Mark D. Watson, et al.. (2016). Relating side chain organization of PNIPAm with its conformation in aqueous methanol. Soft Matter. 12(38). 7995–8003. 66 indexed citations
8.
Winzen, Svenja, et al.. (2016). Small Surfactant Concentration Differences Influence Adsorption of Human Serum Albumin on Polystyrene Nanoparticles. Biomacromolecules. 17(11). 3845–3851. 22 indexed citations
9.
Wang, Dongsheng, Manfred Wagner, Andrew K. Saydjari, et al.. (2016). A Photoresponsive Orthogonal Supramolecular Complex Based on Host–Guest Interactions. Chemistry - A European Journal. 23(11). 2628–2634. 40 indexed citations
10.
Winzen, Svenja, Grit Baier, Christine Rosenauer, et al.. (2015). Complementary analysis of the hard and soft protein corona: sample preparation critically effects corona composition. Nanoscale. 7(7). 2992–3001. 193 indexed citations
11.
Baier, Grit, Svenja Winzen, Michael Fichter, et al.. (2015). Heparin‐Based Nanocapsules as Potential Drug Delivery Systems. Macromolecular Bioscience. 15(6). 765–776. 10 indexed citations
12.
Kang, Biao, Susanne Schöttler, Svenja Winzen, et al.. (2015). Carbohydrate‐Based Nanocarriers Exhibiting Specific Cell Targeting with Minimum Influence from the Protein Corona. Angewandte Chemie International Edition. 54(25). 7436–7440. 134 indexed citations
13.
Kang, Biao, Susanne Schöttler, Svenja Winzen, et al.. (2015). Kohlenhydrat‐basierte Nanocarrier mit spezifischem Zell‐Targeting und minimalem Einfluss durch die Proteinkorona. Angewandte Chemie. 127(25). 7544–7548. 12 indexed citations
14.
Winzen, Svenja, et al.. (2014). Alternative Pathway for the Stabilization of Reactive Emulsions via Cross-Linkable Surfactants. ACS Macro Letters. 3(11). 1165–1168. 7 indexed citations
15.
Wagner, Caroline, et al.. (2014). Structure control in PMMA/silica hybrid nanoparticles by surface functionalization. Colloid & Polymer Science. 292(10). 2427–2437. 30 indexed citations
16.
Winzen, Svenja, David Schaeffel, Amelie H. R. Koch, et al.. (2013). Submicron hybrid vesicles consisting of polymer–lipid and polymer–cholesterol blends. Soft Matter. 9(25). 5883–5883. 47 indexed citations
17.
Morsbach, Svenja, Adrian Natalello, Johannes Elbert, et al.. (2013). Redox-Responsive Block Copolymers: Poly(vinylferrocene)-b-poly(lactide) Diblock and Miktoarm Star Polymers and Their Behavior in Solution. Organometallics. 32(20). 6033–6039. 27 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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