Eugene Skepner

6.2k total citations · 1 hit paper
9 papers, 951 citations indexed

About

Eugene Skepner is a scholar working on Epidemiology, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, Eugene Skepner has authored 9 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Agronomy and Crop Science and 3 papers in Animal Science and Zoology. Recurrent topics in Eugene Skepner's work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (4 papers). Eugene Skepner is often cited by papers focused on Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and Animal Disease Management and Epidemiology (4 papers). Eugene Skepner collaborates with scholars based in United States, United Kingdom and Netherlands. Eugene Skepner's co-authors include Nicola S. Lewis, David F. Burke, Ron A. M. Fouchier, Derek J. Smith, Colin A. Russell, Theo M. Bestebroer, Albert D. M. E. Osterhaus, Guus F. Rimmelzwaan, J.C. de Jong and Monique I. Spronken and has published in prestigious journals such as Science, Journal of Virology and mBio.

In The Last Decade

Eugene Skepner

9 papers receiving 928 citations

Hit Papers

Substitutions Near the Receptor Binding Site Determine Ma... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Skepner United States 8 742 308 235 199 122 9 951
Harald Bürger Germany 14 535 0.7× 329 1.1× 227 1.0× 105 0.5× 76 0.6× 82 1.1k
Alexander Bartel Germany 15 60 0.1× 71 0.2× 67 0.3× 109 0.5× 17 0.1× 69 641
Analía Berinstein Argentina 19 289 0.4× 449 1.5× 162 0.7× 392 2.0× 80 0.7× 43 996
György Czifra Hungary 12 313 0.4× 186 0.6× 131 0.6× 27 0.1× 62 0.5× 26 442
Sébastien Soubiès France 14 386 0.5× 116 0.4× 139 0.6× 85 0.4× 195 1.6× 29 534
Tongyan Wang China 12 185 0.2× 64 0.2× 97 0.4× 107 0.5× 25 0.2× 21 426
Jody K. Dybing United States 10 433 0.6× 119 0.4× 207 0.9× 122 0.6× 177 1.5× 14 626
Vanessa Guillaume France 12 811 1.1× 113 0.4× 591 2.5× 158 0.8× 73 0.6× 15 920
Qing Pan China 20 647 0.9× 79 0.3× 310 1.3× 223 1.1× 140 1.1× 63 1.1k
Lianying Yan United States 16 735 1.0× 80 0.3× 528 2.2× 258 1.3× 41 0.3× 33 997

Countries citing papers authored by Eugene Skepner

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Skepner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Skepner

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

All Works

9 of 9 papers shown
1.
Abente, Eugenio J., Jefferson Santos, Nicola S. Lewis, et al.. (2016). The Molecular Determinants of Antibody Recognition and Antigenic Drift in the H3 Hemagglutinin of Swine Influenza A Virus. Journal of Virology. 90(18). 8266–8280. 43 indexed citations
3.
Lewis, Nicola S., Tavis K. Anderson, Pravina Kitikoon, et al.. (2014). Substitutions near the Hemagglutinin Receptor-Binding Site Determine the Antigenic Evolution of Influenza A H3N2 Viruses in U.S. Swine. Journal of Virology. 88(9). 4752–4763. 75 indexed citations
4.
Koel, Björn F., Stefan van der Vliet, David F. Burke, et al.. (2014). Antigenic Variation of Clade 2.1 H5N1 Virus Is Determined by a Few Amino Acid Substitutions Immediately Adjacent to the Receptor Binding Site. mBio. 5(3). e01070–14. 61 indexed citations
5.
Koel, Björn F., David F. Burke, Theo M. Bestebroer, et al.. (2013). Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution. Science. 342(6161). 976–979. 433 indexed citations breakdown →
6.
Westgeest, Kim B., Colin A. Russell, Xudong Lin, et al.. (2013). Genomewide Analysis of Reassortment and Evolution of Human Influenza A(H3N2) Viruses Circulating between 1968 and 2011. Journal of Virology. 88(5). 2844–2857. 122 indexed citations
7.
Lewis, Nicola S., Janet M. Daly, Colin A. Russell, et al.. (2011). Antigenic and Genetic Evolution of Equine Influenza A (H3N8) Virus from 1968 to 2007. Journal of Virology. 85(23). 12742–12749. 75 indexed citations
8.
Kober, Hedy, et al.. (2001). LetterWise. 2 indexed citations
9.
MacKenzie, I. Scott, et al.. (2001). LetterWise. 111–120. 132 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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