Michael D. Mühlebach

3.4k total citations · 2 hit papers
42 papers, 2.2k citations indexed

About

Michael D. Mühlebach is a scholar working on Epidemiology, Genetics and Infectious Diseases. According to data from OpenAlex, Michael D. Mühlebach has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 25 papers in Genetics and 16 papers in Infectious Diseases. Recurrent topics in Michael D. Mühlebach's work include Virus-based gene therapy research (25 papers), Virology and Viral Diseases (25 papers) and Animal Virus Infections Studies (11 papers). Michael D. Mühlebach is often cited by papers focused on Virus-based gene therapy research (25 papers), Virology and Viral Diseases (25 papers) and Animal Virus Infections Studies (11 papers). Michael D. Mühlebach collaborates with scholars based in Germany, United States and Switzerland. Michael D. Mühlebach's co-authors include Klaus Cichutek, Christian J. Buchholz, Roberto Cattaneo, Steffen Prüfer, Christoph Schürmann, Vincent H. J. Léonard, Bevan Sawatsky, Mathieu Mateo, Patrick L. Sinn and Chanakha K. Navaratnarajah and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael D. Mühlebach

41 papers receiving 2.1k citations

Hit Papers

Adherens junction protein nectin-4 is the epithelial rece... 2011 2026 2016 2021 2011 2020 100 200 300 400

Peers

Michael D. Mühlebach
Robert J. Geraghty United States
Stephen Griffin United Kingdom
Ethan C. Settembre United States
Matteo Porotto United States
Qiyi Tang United States
Rebecca M. DuBois United States
Michael D. Mühlebach
Citations per year, relative to Michael D. Mühlebach Michael D. Mühlebach (= 1×) peers Hideki Tani

Countries citing papers authored by Michael D. Mühlebach

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Mühlebach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Mühlebach. 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 Michael D. Mühlebach. The network helps show where Michael D. Mühlebach may publish in the future.

Co-authorship network of co-authors of Michael D. Mühlebach

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Mühlebach. A scholar is included among the top collaborators of Michael D. Mühlebach 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 Michael D. Mühlebach. Michael D. Mühlebach 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.
Galy, Anne, Ben Berkhout, Karine Breckpot, et al.. (2023). Recent Advances Using Genetic Therapies Against Infectious Diseases and for Vaccination. Human Gene Therapy. 34(17-18). 896–904. 2 indexed citations
2.
Hörner, Cindy, Bianca S. Bodmer, Lisa Walz, et al.. (2023). A protective measles virus-derived vaccine inducing long-lasting immune responses against influenza A virus H7N9. npj Vaccines. 8(1). 46–46. 1 indexed citations
3.
Trimpert, Jakob, Emanuel Wyler, Aileen Ebenig, et al.. (2022). Protocol to dissociate healthy and infected murine- and hamster-derived lung tissue for single-cell transcriptome analysis. STAR Protocols. 4(1). 101957–101957. 3 indexed citations
4.
Ebenig, Aileen, et al.. (2022). Versatility of live-attenuated measles viruses as platform technology for recombinant vaccines. npj Vaccines. 7(1). 119–119. 9 indexed citations
5.
Turoňová, Beata, Mateusz Sikora, Christoph Schürmann, et al.. (2020). In situ structural analysis of SARS-CoV-2 spike reveals flexibility mediated by three hinges. Science. 370(6513). 203–208. 430 indexed citations breakdown →
6.
Mühlebach, Michael D.. (2020). Measles virus in cancer therapy. Current Opinion in Virology. 41. 85–97. 25 indexed citations
7.
Gogesch, Patricia, Stefan Schülke, Stephan Scheurer, Michael D. Mühlebach, & Zoe Waibler. (2018). Modular MLV-VLPs co-displaying ovalbumin peptides and GM-CSF effectively induce expansion of CD11b+ APC and antigen-specific T cell responses in vitro. Molecular Immunology. 101. 19–28. 6 indexed citations
8.
Ungerechts, Guy, Christine E. Engeland, Christian J. Buchholz, et al.. (2017). Virotherapy Research in Germany: From Engineering to Translation. Human Gene Therapy. 28(10). 800–819. 20 indexed citations
9.
Mühlebach, Michael D., et al.. (2017). Development of Recombinant Measles Virus-Based Vaccines. Methods in molecular biology. 1581. 151–168. 5 indexed citations
10.
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
11.
Bach, Patricia, Tobias Abel, Christopher M. Hoffmann, et al.. (2013). Specific Elimination of CD133+ Tumor Cells with Targeted Oncolytic Measles Virus. Cancer Research. 73(2). 865–874. 100 indexed citations
12.
Friedrich, Katrin, Steffen Prüfer, Irene C. Schneider, et al.. (2013). A single amino acid substitution in the measles virus F2 protein reciprocally modulates membrane fusion activity in pathogenic and oncolytic strains. Virus Research. 180. 43–48. 8 indexed citations
13.
Friedrich, Katrin, Steffen Prüfer, Robert C. Münch, et al.. (2013). DARPin-targeting of Measles Virus: Unique Bispecificity, Effective Oncolysis, and Enhanced Safety. Molecular Therapy. 21(4). 849–859. 58 indexed citations
14.
Bach, Patricia, Cheick Coulibaly, Roland Plesker, et al.. (2013). Intrahepatic Application of Suicide Gene-Armed Measles Virotherapeutics: A Safety Study in Transgenic Mice and Rhesus Macaques. PubMed. 24(1). 11–22. 14 indexed citations
15.
Münch, Robert C., Michael D. Mühlebach, Thomas Schaser, et al.. (2011). DARPins: An Efficient Targeting Domain for Lentiviral Vectors. Molecular Therapy. 19(4). 686–693. 91 indexed citations
16.
Mühlebach, Michael D., Thomas Schaser, Martina Zimmermann, et al.. (2010). Liver Cancer Protease Activity Profiles Support Therapeutic Options with Matrix Metalloproteinase–Activatable Oncolytic Measles Virus. Cancer Research. 70(19). 7620–7629. 32 indexed citations
17.
Kloke, Björn‐Philipp, Silke Schüle, Michael D. Mühlebach, et al.. (2010). Functional HIV‐2‐ and SIVsmmPBj‐ derived lentiviral vectors generated by a novel polymerase chain reaction‐based approach. The Journal of Gene Medicine. 12(5). 446–452. 4 indexed citations
18.
Maisner, Andrea, Michael D. Mühlebach, Ulrike Koehl, et al.. (2008). Targeted Cell Entry of Lentiviral Vectors. Molecular Therapy. 16(8). 1427–1436. 153 indexed citations
19.
Wolfrum, Nina, Michael D. Mühlebach, Silke Schüle, et al.. (2007). Impact of viral accessory proteins of SIVsmmPBj on early steps of infection of quiescent cells. Virology. 364(2). 330–341. 15 indexed citations
20.
Stitz, Jörn, Michael D. Mühlebach, Ulrike Blömer, et al.. (2001). A Novel Lentivirus Vector Derived from Apathogenic Simian Immunodeficiency Virus. Virology. 291(2). 191–197. 24 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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