Tim Skern

6.0k total citations · 1 hit paper
102 papers, 4.1k citations indexed

About

Tim Skern is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science. According to data from OpenAlex, Tim Skern has authored 102 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 63 papers in Cardiology and Cardiovascular Medicine and 35 papers in Agronomy and Crop Science. Recurrent topics in Tim Skern's work include Viral Infections and Immunology Research (63 papers), Animal Disease Management and Epidemiology (35 papers) and RNA and protein synthesis mechanisms (32 papers). Tim Skern is often cited by papers focused on Viral Infections and Immunology Research (63 papers), Animal Disease Management and Epidemiology (35 papers) and RNA and protein synthesis mechanisms (32 papers). Tim Skern collaborates with scholars based in Austria, United Kingdom and United States. Tim Skern's co-authors include Ernst Kuechler, Robert E. Rhoads, Barry J. Lamphear, Wolfgang Sommergruber, Dieter Blaas, Kurt E. Gustin, Nogi Park, Walter Glaser, Hans Liebig and Andrew M. Borman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tim Skern

99 papers receiving 4.0k citations

Hit Papers

ICTV Virus Taxonomy Profile: Picornaviridae 2017 2026 2020 2023 2017 100 200 300
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.

  1. ICTV Virus Taxonomy Profile: Picornaviridae
    2017 390 citations Roland Zell, Alexander E. Gorbalenya et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Skern Austria 33 2.4k 2.2k 1.1k 749 712 102 4.1k
M Chow United States 24 1.9k 0.8× 1.2k 0.5× 1.5k 1.4× 459 0.6× 547 0.8× 31 3.3k
Encarnación Martı́nez-Salas Spain 44 2.7k 1.1× 3.2k 1.4× 699 0.7× 1.3k 1.7× 325 0.5× 119 5.0k
Denise Egger Switzerland 33 2.1k 0.9× 1.7k 0.8× 1.5k 1.4× 280 0.4× 1.2k 1.6× 57 4.6k
Kurt Bienz Switzerland 34 2.2k 0.9× 1.8k 0.8× 1.5k 1.4× 290 0.4× 1.3k 1.8× 70 4.8k
Ernst Kuechler Austria 34 1.5k 0.6× 1.8k 0.8× 582 0.5× 327 0.4× 960 1.3× 74 3.3k
Alexander N. Lukashev Russia 33 1.5k 0.6× 944 0.4× 2.4k 2.3× 361 0.5× 807 1.1× 122 4.0k
Barbara Sherry United States 30 1.5k 0.6× 1.0k 0.5× 1.6k 1.5× 323 0.4× 1.1k 1.5× 47 3.7k
A C Palmenberg United States 14 1.7k 0.7× 1.4k 0.6× 830 0.8× 276 0.4× 360 0.5× 16 2.6k
Vadim I. Agol Russia 50 4.7k 2.0× 3.6k 1.6× 2.7k 2.5× 702 0.9× 729 1.0× 162 7.0k
Ellie Ehrenfeld United States 47 4.3k 1.8× 3.5k 1.6× 2.4k 2.2× 466 0.6× 1.0k 1.5× 127 6.9k

Countries citing papers authored by Tim Skern

Since Specialization
Citations

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

Fields of papers citing papers by Tim Skern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Skern

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Skern. A scholar is included among the top collaborators of Tim Skern 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 Tim Skern. Tim Skern 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
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Olek, K., Wyatt W. Yue, G.A. Bezerra, & Tim Skern. (2021). Defining substrate selection by rhinoviral 2A proteinase through its crystal structure with the inhibitor zVAM.fmk. Virology. 562. 128–141. 2 indexed citations
3.
Simmonds, Peter, Alexander E. Gorbalenya, Heli Harvala, et al.. (2020). Recommendations for the nomenclature of enteroviruses and rhinoviruses. Archives of Virology. 165(3). 793–797. 129 indexed citations
4.
Visser, Linda J., Kirby N. Swatek, Gisselle N. Medina, et al.. (2020). Dissecting distinct proteolytic activities of FMDV Lpro implicates cleavage and degradation of RLR signaling proteins, not its deISGylase/DUB activity, in type I interferon suppression. PLoS Pathogens. 16(7). e1008702–e1008702. 30 indexed citations
5.
Skern, Tim. (2019). Writing Scientific English. 7 indexed citations
6.
Grishkovskaya, Irina, et al.. (2014). Foot-and-mouth disease virus leader proteinase: Structural insights into the mechanism of intermolecular cleavage. Virology. 468-470. 397–408. 12 indexed citations
7.
Fedosyuk, Sofiya, Irina Grishkovskaya, Euripedes de Almeida Ribeiro, & Tim Skern. (2013). Characterization and Structure of the Vaccinia Virus NF-κB Antagonist A46. Journal of Biological Chemistry. 289(6). 3749–3762. 24 indexed citations
8.
Skern, Tim. (2010). 100 years poliovirus: from discovery to eradication. A meeting report. Archives of Virology. 155(9). 1371–1381. 11 indexed citations
9.
Singh, Manisha, Seung‐Hyo Lee, Paul Porter, et al.. (2010). Human rhinovirus proteinase 2A induces TH1 and TH2 immunity in patients with chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology. 125(6). 1369–1378.e2. 58 indexed citations
10.
Park, Nogi, Tim Skern, & Kurt E. Gustin. (2010). Specific Cleavage of the Nuclear Pore Complex Protein Nup62 by a Viral Protease. Journal of Biological Chemistry. 285(37). 28796–28805. 85 indexed citations
11.
Cencic, Regina, Christina Mayer, María A. Juliano, et al.. (2007). Investigating the Substrate Specificity and Oligomerisation of the Leader Protease of Foot and Mouth Disease Virus using NMR. Journal of Molecular Biology. 373(4). 1071–1087. 12 indexed citations
12.
Kriegshäuser, Gernot, A. Deutz, Ernst Kuechler, et al.. (2005). Prevalence of neutralizing antibodies to Equine rhinitis A and B virus in horses and man. Veterinary Microbiology. 106(3-4). 293–296. 21 indexed citations
13.
Foeger, Nicole, et al.. (2005). The binding of foot‐and‐mouth disease virus leader proteinase to eIF4GI involves conserved ionic interactions. FEBS Journal. 272(10). 2602–2611. 17 indexed citations
14.
Foeger, Nicole, Eva M. Schmid, & Tim Skern. (2003). Human Rhinovirus 2 2Apro Recognition of Eukaryotic Initiation Factor 4GI. Journal of Biological Chemistry. 278(35). 33200–33207. 14 indexed citations
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Glaser, Walter, Regina Cencic, & Tim Skern. (2001). Foot-and-Mouth Disease Virus Leader Proteinase. Journal of Biological Chemistry. 276(38). 35473–35481. 34 indexed citations
17.
Sommergruber, Wolfgang, et al.. (1997). Mutational Analyses Support a Model for the HRV2 2A Proteinase. Virology. 234(2). 203–214. 16 indexed citations
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Skern, Tim, et al.. (1991). Human rhinovirus mutants resistant to low pH. Virology. 183(2). 757–763. 36 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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