Roland Brock

9.3k total citations · 2 hit papers
174 papers, 7.6k citations indexed

About

Roland Brock is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roland Brock has authored 174 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 30 papers in Immunology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roland Brock's work include RNA Interference and Gene Delivery (77 papers), Advanced biosensing and bioanalysis techniques (50 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Roland Brock is often cited by papers focused on RNA Interference and Gene Delivery (77 papers), Advanced biosensing and bioanalysis techniques (50 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Roland Brock collaborates with scholars based in Netherlands, Germany and United States. Roland Brock's co-authors include Rainer Fischer, Mariola Fotin‐Mleczek, Wouter P. R. Verdurmen, Günther Jung, Karl‐Heinz Wiesmüller, Heinz Schwarz, Karsten Köhler, Artur J. Ulmer, Ute Buwitt‐Beckmann and G.J.C.G.M. Bosman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Roland Brock

171 papers receiving 7.5k citations

Hit Papers

A Comprehensive Model for the Cellular Uptake of Cationic... 2005 2026 2012 2019 2007 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland Brock Netherlands 46 5.0k 1.5k 855 704 676 174 7.6k
Leonid Chernomordik United States 57 9.1k 1.8× 1.0k 0.7× 628 0.7× 2.1k 3.0× 1.0k 1.5× 125 12.9k
Kalina Hristova United States 47 6.4k 1.3× 479 0.3× 1.5k 1.8× 502 0.7× 521 0.8× 188 8.1k
Ikuhiko Nakase Japan 43 6.3k 1.3× 642 0.4× 905 1.1× 576 0.8× 955 1.4× 121 7.5k
Rudolf Volkmer Germany 47 6.1k 1.2× 984 0.7× 1.1k 1.3× 254 0.4× 471 0.7× 155 8.1k
Bernard Lebleu France 51 10.1k 2.0× 1.7k 1.1× 805 0.9× 364 0.5× 2.0k 3.0× 168 11.9k
Renato Longhi Italy 52 3.9k 0.8× 1.5k 1.0× 271 0.3× 464 0.7× 351 0.5× 210 8.2k
Jean‐Paul Briand France 54 5.4k 1.1× 2.3k 1.5× 456 0.5× 2.0k 2.8× 810 1.2× 216 11.5k
Min Lu United States 54 4.9k 1.0× 1.2k 0.8× 332 0.4× 184 0.3× 642 0.9× 164 9.6k
Ronald Frank Germany 46 6.6k 1.3× 962 0.7× 426 0.5× 415 0.6× 784 1.2× 170 9.8k
Robert Blumenthal United States 41 4.0k 0.8× 643 0.4× 397 0.5× 1.1k 1.5× 407 0.6× 106 6.4k

Countries citing papers authored by Roland Brock

Since Specialization
Citations

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

Fields of papers citing papers by Roland Brock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Brock

This figure shows the co-authorship network connecting the top 25 collaborators of Roland Brock. A scholar is included among the top collaborators of Roland Brock 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 Roland Brock. Roland Brock 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.
Jonge, Paul K.J.D. de, et al.. (2025). IL-15 transpresentation by ovarian cancer cells improves CD34 + progenitor-derived NK cell's anti-tumor functionality. OncoImmunology. 14(1). 2465010–2465010. 2 indexed citations
2.
Khalifeh, Masoomeh, et al.. (2024). RNA-based logic for selective protein expression in senescent cells. The International Journal of Biochemistry & Cell Biology. 174. 106636–106636. 1 indexed citations
3.
Verdurmen, Wouter P. R., et al.. (2024). Tumor‐On‐A‐Chip Models for Predicting In Vivo Nanoparticle Behavior. Small. 20(35). e2402311–e2402311. 11 indexed citations
4.
Khalifeh, Masoomeh, et al.. (2024). Local mRNA Delivery from Nanocomposites Made of Gelatin and Hydroxyapatite Nanoparticles. ACS Applied Materials & Interfaces. 16(38). 50497–50506. 2 indexed citations
5.
Khalifeh, Masoomeh, et al.. (2024). Incorporation of ionizable lipids into the outer shell of lipid-coated calcium phosphate nanoparticles boosts cellular mRNA delivery. International Journal of Pharmaceutics. 670. 125109–125109. 1 indexed citations
6.
Siegerist, Florian, Hans J. Baelde, Sara Cairoli, et al.. (2023). Evaluation of the efficacy of cystinosin supplementation through CTNS mRNA delivery in experimental models for cystinosis. Scientific Reports. 13(1). 20961–20961. 7 indexed citations
8.
Neubacher, Saskia, et al.. (2023). Environment‐Responsive Peptide Dimers Bind and Stabilize Double‐Stranded RNA. Angewandte Chemie International Edition. 62(41). e202308028–e202308028. 2 indexed citations
10.
Bovée‐Geurts, Petra H. M., Silko Grimm, Karl‐Heinz Wiesmüller, et al.. (2021). A comparison of acyl-moieties for noncovalent functionalization of PLGA and PEG-PLGA nanoparticles with a cell-penetrating peptide. RSC Advances. 11(57). 36116–36124. 10 indexed citations
11.
Descroix, Stéphanie, et al.. (2021). A Computational Investigation of In Vivo Cytosolic Protein Delivery for Cancer Therapy. Pharmaceutics. 13(4). 562–562. 5 indexed citations
12.
Groenman, Freek, D.D.M. Braat, C. C. M. Beerendonk, et al.. (2021). Assessing the use of tumor-specific DARPin-toxin fusion proteins for ex vivo purging of cancer metastases from human ovarian cortex before autotransplantation. PubMed. 2(4). 330–344. 3 indexed citations
13.
Neubacher, Saskia, Chandran Nithin, Sunandan Mukherjee, et al.. (2021). Constrained peptides mimic a viral suppressor of RNA silencing. Nucleic Acids Research. 49(22). 12622–12633. 15 indexed citations
14.
Oosterwijk, Egbert, et al.. (2021). Mimicking the Biology of Engineered Protein and mRNA Nanoparticle Delivery Using a Versatile Microfluidic Platform. Pharmaceutics. 13(11). 1944–1944. 6 indexed citations
15.
Lith, Sanne A. M. van, Mark A.J. Gorris, Inge Ebisch, et al.. (2020). EpCAM-Binding DARPins for Targeted Photodynamic Therapy of Ovarian Cancer. Cancers. 12(7). 1762–1762. 19 indexed citations
16.
Massuger, Leon F.A.G., et al.. (2017). Mimicking Tumors: Toward More Predictive In Vitro Models for Peptide- and Protein-Conjugated Drugs. Bioconjugate Chemistry. 28(3). 846–856. 37 indexed citations
18.
Favretto, Marco E., Andreas Krieg, Stephanie Schubert, Ulrich S. Schubert, & Roland Brock. (2015). Multifunctional poly(methacrylate) polyplex libraries: A platform for gene delivery inspired by nature. Journal of Controlled Release. 209. 1–11. 18 indexed citations
19.
Dhonukshe, Pankaj, Ilya Grigoriev, Rainer Fischer, et al.. (2008). Auxin transport inhibitors impair vesicle motility and actin cytoskeleton dynamics in diverse eukaryotes. Proceedings of the National Academy of Sciences. 105(11). 4489–4494. 187 indexed citations
20.
Dengjel, Jörn, Oliver Schoor, Rainer Fischer, et al.. (2005). Autophagy promotes MHC class II presentation of peptides from intracellular source proteins. Proceedings of the National Academy of Sciences. 102(22). 7922–7927. 504 indexed citations breakdown →

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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