Thorsten Friedel

619 total citations
9 papers, 491 citations indexed

About

Thorsten Friedel is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Thorsten Friedel has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 5 papers in Molecular Biology and 4 papers in Animal Science and Zoology. Recurrent topics in Thorsten Friedel's work include Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (4 papers) and Virology and Viral Diseases (3 papers). Thorsten Friedel is often cited by papers focused on Virus-based gene therapy research (8 papers), RNA Interference and Gene Delivery (4 papers) and Virology and Viral Diseases (3 papers). Thorsten Friedel collaborates with scholars based in Germany, Switzerland and Australia. Thorsten Friedel's co-authors include Christian J. Buchholz, Hildegard Büning, Anke Muth, Andreas Plückthun, Irene C. Schneider, Robert C. Münch, Alexander Muik, Birgit Dreier, Alexandra Trkola and Lachlan R. Wilson and has published in prestigious journals such as Nature Communications, Biomaterials and Trends in biotechnology.

In The Last Decade

Thorsten Friedel

9 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Friedel Germany 8 294 264 145 93 91 9 491
Brian L. Ellis United States 7 275 0.9× 207 0.8× 48 0.3× 65 0.7× 13 0.1× 7 451
Debra A. Barnes United States 13 185 0.6× 49 0.2× 157 1.1× 14 0.2× 52 0.6× 19 708
Nieves Sandoval C. Peru 6 175 0.6× 45 0.2× 63 0.4× 28 0.3× 34 0.4× 54 352
Anastasia Bakulina Russia 11 221 0.8× 29 0.1× 20 0.1× 37 0.4× 49 0.5× 33 363
Anna Rice United States 10 139 0.5× 105 0.4× 44 0.3× 28 0.3× 94 1.0× 15 358
Jeffrey J. Stanton United States 9 246 0.8× 108 0.4× 146 1.0× 27 0.3× 11 0.1× 11 608
Caroline N. Herndon United States 9 252 0.9× 35 0.1× 41 0.3× 40 0.4× 36 0.4× 13 686
Kirsten R. Morris Australia 12 221 0.8× 248 0.9× 23 0.2× 7 0.1× 56 0.6× 20 416
Anette Rink United States 12 200 0.7× 294 1.1× 13 0.1× 8 0.1× 33 0.4× 18 459
Margaret Bills Australia 9 216 0.7× 103 0.4× 84 0.6× 23 0.2× 3 0.0× 10 448

Countries citing papers authored by Thorsten Friedel

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Friedel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Friedel

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

All Works

9 of 9 papers shown
1.
Rengstl, Benjamin, Thorsten Friedel, Irene C. Schneider, et al.. (2018). CD30-targeted oncolytic viruses as novel therapeutic approach against classical Hodgkin lymphoma. Oncotarget. 9(16). 12971–12981. 19 indexed citations
2.
Muik, Alexander, Thorsten Friedel, Anke Muth, et al.. (2017). Covalent coupling of high-affinity ligands to the surface of viral vector particles by protein trans-splicing mediates cell type-specific gene transfer. Biomaterials. 144. 84–94. 40 indexed citations
3.
Friedel, Thorsten, Sabine Jung‐Klawitter, Attila Sebe, et al.. (2016). CD30 Receptor-Targeted Lentiviral Vectors for Human Induced Pluripotent Stem Cell-Specific Gene Modification. Stem Cells and Development. 25(9). 729–739. 3 indexed citations
4.
Friedrich, Katrin, Steffen Prüfer, Thorsten Friedel, et al.. (2016). Enhanced lysis by bispecific oncolytic measles viruses simultaneously using HER2 /neu or EpCAM as target receptors. Molecular Therapy — Oncolytics. 3. 16003–16003. 20 indexed citations
5.
Bender, R., Anke Muth, Irene C. Schneider, et al.. (2016). Receptor-Targeted Nipah Virus Glycoproteins Improve Cell-Type Selective Gene Delivery and Reveal a Preference for Membrane-Proximal Cell Attachment. PLoS Pathogens. 12(6). e1005641–e1005641. 65 indexed citations
6.
Münch, Robert C., Anke Muth, Alexander Muik, et al.. (2015). Off-target-free gene delivery by affinity-purified receptor-targeted viral vectors. Nature Communications. 6(1). 6246–6246. 105 indexed citations
7.
Buchholz, Christian J., Thorsten Friedel, & Hildegard Büning. (2015). Surface-Engineered Viral Vectors for Selective and Cell Type-Specific Gene Delivery. Trends in biotechnology. 33(12). 777–790. 107 indexed citations
8.
Friedel, Thorsten, Anke Muth, Annemarie Honegger, et al.. (2015). Receptor-targeted lentiviral vectors are exceptionally sensitive toward the biophysical properties of the displayed single-chain Fv. Protein Engineering Design and Selection. 28(4). 93–106. 23 indexed citations
9.
Wijffels, Gene, Josh Waddington, Lachlan R. Wilson, et al.. (1994). Vaccination of Sheep with Purified Cysteine Proteinases of Fasciola hepatica Decreases Worm Fecundity. Experimental Parasitology. 78(2). 132–148. 109 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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