Steffen Prüfer

930 total citations · 1 hit paper
7 papers, 622 citations indexed

About

Steffen Prüfer is a scholar working on Epidemiology, Genetics and Animal Science and Zoology. According to data from OpenAlex, Steffen Prüfer has authored 7 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Genetics and 3 papers in Animal Science and Zoology. Recurrent topics in Steffen Prüfer's work include Virology and Viral Diseases (5 papers), Virus-based gene therapy research (4 papers) and Animal Virus Infections Studies (3 papers). Steffen Prüfer is often cited by papers focused on Virology and Viral Diseases (5 papers), Virus-based gene therapy research (4 papers) and Animal Virus Infections Studies (3 papers). Steffen Prüfer collaborates with scholars based in Germany, Switzerland and United States. Steffen Prüfer's co-authors include Michael D. Mühlebach, Klaus Cichutek, Roberto Cattaneo, Vincent H. J. Léonard, Bevan Sawatsky, Mathieu Mateo, Marc Lopez, Shyam Ramachandran, Paul B. McCray and Veronika von Messling and has published in prestigious journals such as Nature, Virology and Molecular Therapy.

In The Last Decade

Steffen Prüfer

7 papers receiving 612 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adherens junction protein nectin-4 is the epithelial receptor for measles virus

2011 449 citations Michael D. Mühlebach, Mathieu Mateo et al. Nature profile →

Peers

Steffen Prüfer

EPIDE

ID

GENET

ASZ

IMMUN

Ashwin Ashok Raut India

Patrizia Latorre Switzerland

János Gál Hungary

Eric Bortz United States

Hélène Valentin France

Gang Long China

J R Schlehofer Germany

Rajiv G. Tawar France

Islam T. M. Hussein United States

Masanori TAJIMA Japan

Ashwin Ashok Raut India

Steffen Prüfer

204 ×0.5

EPIDE

197 ×1.0

ID

79 ×0.4

GENET

164 ×1.2

ASZ

290 ×2.8

IMMUN

Citations per year, relative to Steffen Prüfer Steffen Prüfer (= 1×) peers Ashwin Ashok Raut

Countries citing papers authored by Steffen Prüfer

Since Specialization

Citations

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

Fields of papers citing papers by Steffen Prüfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steffen Prüfer

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

All Works

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7 of 7 papers shown

1.

Bodmer, Bianca S., et al.. (2018). Live-attenuated bivalent measles virus-derived vaccines targeting Middle East respiratory syndrome coronavirus induce robust and multifunctional T cell responses against both viruses in an appropriate mouse model. Virology. 521. 99–107. 35 indexed citations

2.

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

3.

Prüfer, Steffen, et al.. (2014). Coastal cliff monitoring and analysis of mass wasting processes with the application of terrestrial laser scanning: A case study of Rügen, Germany. Geomorphology. 213. 153–165. 51 indexed citations

4.

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

5.

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

6.

Mühlebach, Michael D., Mathieu Mateo, Patrick L. Sinn, et al.. (2011). Adherens junction protein nectin-4 is the epithelial receptor for measles virus. Nature. 480(7378). 530–533. 449 indexed citations breakdown →

7.

Tschulena, Ulrich, Ralf Sanzenbacher, Michael D. Mühlebach, et al.. (2011). Mutation of a diacidic motif in SIV-PBj Nef impairs T-cell activation and enteropathic disease. Retrovirology. 8(1). 14–14. 1 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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