Tim Skern

6.0k citations
102 papers · 4.1k indexed · 1 hit paper · h-index 33

Tim Skern

99 papers receiving 4.0k citations

Hit Papers

ICTV Virus Taxonomy Profile: Picornaviridae3902017202620202023100200300

Peers

Tim Skern
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 2.4k
  • Agronomy and Crop Science 749
  • Infectious Diseases 1.1k
  • Animal Science and Zoology 422
  • Molecular Biology 2.2k
Replace M Chow with:
M Chow United States
Encarnación Martı́nez-Salas Spain
Denise Egger Switzerland
Barbara Sherry United States
Alexander N. Lukashev Russia
Kurt Bienz Switzerland
A C Palmenberg United States
Vadim I. Agol Russia
G M Duke United States
Ernst Kuechler Austria
Tim Skern relative to M Chow United States M Chow's profile →
Citations per field
00.5×5.9×
M Chow · 1×
Citations per year

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

The 25 scholars most cited alongside Tim Skern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Skern Line = papers co-authored together Tim Skern links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20212
3 2020129
4 202030
5 20197
6 201412
7 201324
8 201011
9 201058
10 201085
11 200712
12 200521
13 200517
14 200314
15 20029
16 200134
17 199716
18 199610
19 199568
20 199136

About Tim Skern

Tim Skern is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Virology, Molecular Biology and Infectious Diseases, having authored 102 papers that have together received 4.1k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (63 papers), Animal Disease Management and Epidemiology (35 papers), RNA and protein synthesis mechanisms (32 papers), Viral Infectious Diseases and Gene Expression in Insects (25 papers), Respiratory viral infections research (17 papers), RNA regulation and disease (10 papers), Viral Infections and Vectors (8 papers) and Plant Virus Research Studies (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.4k citations), Agronomy and Crop Science (749 citations), Infectious Diseases (1.1k citations), Animal Science and Zoology (422 citations) and Molecular Biology (2.2k citations). Tim Skern has collaborated with scholars based in Austria, United Kingdom and United States. Frequent 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. Their work appears in journals such as Virology, Journal of Virology, Journal of General Virology, Journal of Biological Chemistry and FEBS Letters.

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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