Bernd Voedisch

554 total citations
11 papers, 395 citations indexed

About

Bernd Voedisch is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bernd Voedisch has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bernd Voedisch's work include Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Bernd Voedisch is often cited by papers focused on Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Bernd Voedisch collaborates with scholars based in Switzerland, Germany and Australia. Bernd Voedisch's co-authors include Michael Hust, Stefan Dübel, Sabine Geisse, Doris Meier, Thomas Schirrmann, Holger Thie, Thomas Jostock, Christian Menzel, Mariam Brenneis and Torsten Meyer and has published in prestigious journals such as Frontiers in Immunology, Biotechnology and Bioengineering and Journal of Biotechnology.

In The Last Decade

Bernd Voedisch

11 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernd Voedisch Switzerland 9 334 248 56 44 38 11 395
Dominik Escher Switzerland 10 381 1.1× 300 1.2× 53 0.9× 54 1.2× 31 0.8× 11 590
Franck Gueneau Switzerland 9 291 0.9× 289 1.2× 20 0.4× 88 2.0× 26 0.7× 16 378
Holger Thie Germany 7 310 0.9× 315 1.3× 17 0.3× 57 1.3× 31 0.8× 8 390
Ralf Strohner Germany 10 772 2.3× 247 1.0× 69 1.2× 65 1.5× 16 0.4× 11 846
Giulio Russo Germany 10 195 0.6× 160 0.6× 20 0.4× 59 1.3× 34 0.9× 18 293
Christine P. Chan United States 9 214 0.6× 127 0.5× 30 0.5× 60 1.4× 16 0.4× 10 337
Bahman Akbari Iran 11 206 0.6× 140 0.6× 25 0.4× 144 3.3× 90 2.4× 26 398
Justyna M. Przystal United States 9 145 0.4× 69 0.3× 76 1.4× 61 1.4× 66 1.7× 19 298
Adela Hasa-Moreno United States 7 213 0.6× 180 0.7× 38 0.7× 61 1.4× 12 0.3× 7 407
Sonoko Tanaka Japan 7 390 1.2× 121 0.5× 163 2.9× 65 1.5× 19 0.5× 9 476

Countries citing papers authored by Bernd Voedisch

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Voedisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernd Voedisch

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

All Works

11 of 11 papers shown
1.
2.
Wolf, Babette, Thierry Besson, Bernd Voedisch, et al.. (2022). Therapeutic antibody glycosylation impacts antigen recognition and immunogenicity. Immunology. 166(3). 380–407. 20 indexed citations
3.
Ritter, Anett, Barbara Brannetti, Bernd Voedisch, et al.. (2016). Disruption of the gene C12orf35 leads to increased productivities in recombinant CHO cell lines. Biotechnology and Bioengineering. 113(11). 2433–2442. 18 indexed citations
4.
Ritter, Anett, Sandro Nuciforo, Bernd Voedisch, et al.. (2016). Fam60A plays a role for production stabilities of recombinant CHO cell lines. Biotechnology and Bioengineering. 114(3). 701–704. 15 indexed citations
5.
Ritter, Anett, Bernd Voedisch, Johannes Wienberg, et al.. (2015). Deletion of a telomeric region on chromosome 8 correlates with higher productivity and stability of CHO cell lines. Biotechnology and Bioengineering. 113(5). 1084–1093. 23 indexed citations
6.
Fischer, Simon, et al.. (2012). Transient recombinant protein expression in a human amniocyte cell line: The CAP‐T® cell system. Biotechnology and Bioengineering. 109(9). 2250–2261. 28 indexed citations
7.
Geisse, Sabine & Bernd Voedisch. (2012). Transient Expression Technologies: Past, Present, and Future. Methods in molecular biology. 899. 203–219. 36 indexed citations
8.
Voedisch, Bernd, et al.. (2011). About making a CHO production cell line “research-friendly” by genetic engineering. BMC Proceedings. 5(S8). P132–P132. 4 indexed citations
9.
Hust, Michael, Torsten Meyer, Bernd Voedisch, et al.. (2010). A human scFv antibody generation pipeline for proteome research. Journal of Biotechnology. 152(4). 159–170. 107 indexed citations
10.
Thie, Holger, Bernd Voedisch, Stefan Dübel, Michael Hust, & Thomas Schirrmann. (2008). Affinity Maturation by Phage Display. Methods in molecular biology. 525. 309–322. 45 indexed citations
11.
Hust, Michael, Thomas Jostock, Christian Menzel, et al.. (2007). Single chain Fab (scFab) fragment. BMC Biotechnology. 7(1). 14–14. 97 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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