Volker Mailaender

887 total citations · 2 hit papers
10 papers, 685 citations indexed

About

Volker Mailaender is a scholar working on Molecular Biology, Biomaterials and Oncology. According to data from OpenAlex, Volker Mailaender has authored 10 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Biomaterials and 2 papers in Oncology. Recurrent topics in Volker Mailaender's work include Nanoparticle-Based Drug Delivery (3 papers), Protein purification and stability (2 papers) and Conducting polymers and applications (2 papers). Volker Mailaender is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Protein purification and stability (2 papers) and Conducting polymers and applications (2 papers). Volker Mailaender collaborates with scholars based in Germany, United Kingdom and Italy. Volker Mailaender's co-authors include Katharina Landfester, Svenja Winzen, Klaus Mohr, Grit Baier, Christine Rosenauer, Ulrich Keilholz, Eckhard Thiel, Dirk Nagorsen, Carmen Scheibenbogen and Anne Letsch and has published in prestigious journals such as Blood, Nature Nanotechnology and Nanoscale.

In The Last Decade

Volker Mailaender

9 papers receiving 681 citations

Hit Papers

An organic artificial spiking neuron for in situ neuromor... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volker Mailaender Germany 6 255 158 157 141 134 10 685
Jung Won Yoon South Korea 18 299 1.2× 84 0.5× 104 0.7× 165 1.2× 139 1.0× 51 889
Shuyi Chen China 11 315 1.2× 50 0.3× 127 0.8× 86 0.6× 293 2.2× 20 928
Ly James Lee United States 19 329 1.3× 36 0.2× 138 0.9× 66 0.5× 328 2.4× 30 843
Ruiqiong Liu China 12 483 1.9× 100 0.6× 133 0.8× 42 0.3× 274 2.0× 18 1.1k
Vasu R. Sah Australia 10 212 0.8× 168 1.1× 57 0.4× 35 0.2× 224 1.7× 19 749
Sven Enders Germany 13 484 1.9× 99 0.6× 138 0.9× 17 0.1× 78 0.6× 16 773
Di‐Yen Chueh Taiwan 12 130 0.5× 65 0.4× 75 0.5× 79 0.6× 260 1.9× 16 509
Christine Gajewski United States 5 279 1.1× 75 0.5× 364 2.3× 17 0.1× 194 1.4× 5 793
Minhee Ku South Korea 16 263 1.0× 30 0.2× 89 0.6× 87 0.6× 331 2.5× 37 813

Countries citing papers authored by Volker Mailaender

Since Specialization
Citations

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

Fields of papers citing papers by Volker Mailaender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Mailaender

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

All Works

10 of 10 papers shown
1.
Voigt, Matthias, Jonathan Schupp, Dirk Schneider, et al.. (2024). Dual Centrifugation‐Based Screening for pH‐Responsive Liposomes. ChemMedChem. 20(1). e202400648–e202400648.
2.
Liam‐Or, Revadee, Farid N. Faruqu, Adam A. Walters, et al.. (2024). Cellular uptake and in vivo distribution of mesenchymal-stem-cell-derived extracellular vesicles are protein corona dependent. Nature Nanotechnology. 19(6). 846–855. 88 indexed citations breakdown →
3.
Lieberth, Katharina, Thomas Frank, Volker Mailaender, et al.. (2022). An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing. Nature Electronics. 5(11). 774–783. 159 indexed citations breakdown →
4.
Simon, Johanna, et al.. (2022). Antibody-Functionalized Carnauba Wax Nanoparticles to Target Breast Cancer Cells. ACS Applied Bio Materials. 5(2). 622–629. 19 indexed citations
5.
Lieberth, Katharina, Thomas Frank, Volker Mailaender, et al.. (2022). Publisher Correction: An organic artificial spiking neuron for in situ neuromorphic sensing and biointerfacing. Nature Electronics. 5(11). 821–821. 1 indexed citations
6.
Simon, Johanna, Claudia Weber, Anitha Ethirajan, et al.. (2018). How Low Can You Go? Low Densities of Poly(ethylene glycol) Surfactants Attract Stealth Proteins. Macromolecular Bioscience. 18(9). e1800075–e1800075. 11 indexed citations
7.
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
10.
Scheibenbogen, Carmen, Anne Letsch, Eckhard Thiel, et al.. (2002). CD8 T-cell responses to Wilms tumor gene product WT1 and proteinase 3 in patients with acute myeloid leukemia. Blood. 100(6). 2132–2137. 207 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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