Daniel Voß

1.1k total citations
12 papers, 889 citations indexed

About

Daniel Voß is a scholar working on Epidemiology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Daniel Voß has authored 12 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Infectious Diseases and 3 papers in Animal Science and Zoology. Recurrent topics in Daniel Voß's work include Influenza Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Daniel Voß is often cited by papers focused on Influenza Virus Research Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Daniel Voß collaborates with scholars based in Germany, Switzerland and Austria. Daniel Voß's co-authors include Thomas Kramps, Lothar Stitz, Benjamin Petsch, Margit Schnee, Annette B. Vogel, Karl‐Josef Kallen, Andreas Theß, Bernd Hoffmann, Thomas Schlake and Elke Lange and has published in prestigious journals such as Nature Biotechnology, Journal of Virology and FEBS Letters.

In The Last Decade

Daniel Voß

12 papers receiving 848 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Voß Germany 11 473 435 272 247 134 12 889
Stephanie Erbar Germany 13 524 1.1× 418 1.0× 246 0.9× 238 1.0× 187 1.4× 16 919
Margit Schnee Germany 8 582 1.2× 364 0.8× 316 1.2× 258 1.0× 164 1.2× 8 930
Alissa M. Pham United States 11 406 0.9× 294 0.7× 322 1.2× 123 0.5× 82 0.6× 12 840
Maureen F. Maughan United States 12 268 0.6× 314 0.7× 360 1.3× 253 1.0× 141 1.1× 17 840
Justin A. Roby Australia 14 305 0.6× 446 1.0× 314 1.2× 184 0.7× 53 0.4× 33 987
Louis-Marie Bloyet United States 15 318 0.7× 744 1.7× 140 0.5× 275 1.1× 83 0.6× 23 1.1k
Elizabeth V. L. Grgacic Australia 12 254 0.5× 286 0.7× 168 0.6× 321 1.3× 84 0.6× 20 795
Xiǎolì Chī United States 9 181 0.4× 493 1.1× 355 1.3× 286 1.2× 63 0.5× 13 910
Steven J. Mento United States 15 257 0.5× 261 0.6× 177 0.7× 212 0.9× 231 1.7× 26 688
Timo Frensing Germany 14 259 0.5× 220 0.5× 164 0.6× 396 1.6× 146 1.1× 19 728

Countries citing papers authored by Daniel Voß

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Voß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Voß

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

All Works

12 of 12 papers shown
1.
Brinkmann, Fabian, et al.. (2019). The HUTUBS head-related transfer function (HRTF) database. DepositOnce. 16 indexed citations
2.
Stitz, Lothar, Annette B. Vogel, Margit Schnee, et al.. (2017). A thermostable messenger RNA based vaccine against rabies. PLoS neglected tropical diseases. 11(12). e0006108–e0006108. 95 indexed citations
3.
Schnee, Margit, Annette B. Vogel, Daniel Voß, et al.. (2016). An mRNA Vaccine Encoding Rabies Virus Glycoprotein Induces Protection against Lethal Infection in Mice and Correlates of Protection in Adult and Newborn Pigs. PLoS neglected tropical diseases. 10(6). e0004746–e0004746. 162 indexed citations
4.
Voß, Daniel, et al.. (2014). Expression and nuclear localization of the TATA-box-binding protein during baculovirus infection. Journal of General Virology. 95(6). 1396–1407. 3 indexed citations
5.
Petsch, Benjamin, Margit Schnee, Annette B. Vogel, et al.. (2012). Protective efficacy of in vitro synthesized, specific mRNA vaccines against influenza A virus infection. Nature Biotechnology. 30(12). 1210–1216. 366 indexed citations
6.
Müller, Marcel A., Lia van der Hoek, Daniel Voß, et al.. (2010). Human Coronavirus NL63 Open Reading Frame 3 encodes a virion-incorporated N-glycosylated membrane protein. Virology Journal. 7(1). 6–6. 34 indexed citations
7.
Zielecki, Florian, Donata Kalthoff, Daniel Voß, et al.. (2010). Virulence Determinants of Avian H5N1 Influenza A Virus in Mammalian and Avian Hosts: Role of the C-Terminal ESEV Motif in the Viral NS1 Protein. Journal of Virology. 84(20). 10708–10718. 70 indexed citations
8.
Wressnigg, Nina, Daniel Voß, Thorsten Wolff, et al.. (2009). Development of a live-attenuated influenza B ΔNS1 intranasal vaccine candidate. Vaccine. 27(21). 2851–2857. 29 indexed citations
9.
Voß, Daniel, Susanne Pfefferle, Christian Drosten, et al.. (2009). Studies on membrane topology, N-glycosylation and functionality of SARS-CoV membrane protein. Virology Journal. 6(1). 52 indexed citations
10.
Wolff, Thorsten, et al.. (2008). Sabotage of antiviral signaling and effectors by influenza viruses. Biological Chemistry. 389(10). 1299–1305. 19 indexed citations
11.
Voß, Daniel, Elisabetta Traggiai, Markus Eickmann, et al.. (2006). Characterization of severe acute respiratory syndrome coronavirus membrane protein. FEBS Letters. 580(3). 968–973. 31 indexed citations
12.

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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