Roland Silber

726 citations
9 papers · 554 indexed · h-index 8

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments
    • Virology and Viral Diseases

Papers in

    • Poxvirus research and outbreaks 5
    • Herpesvirus Infections and Treatments 5
    • Virology and Viral Diseases 4

Roland Silber

8 papers receiving 526 citations

Peers

Roland Silber
Comparison fields: 5 of 23
  • Virology 389
  • Epidemiology 436
  • Agronomy and Crop Science 65
  • Infectious Diseases 102
  • Animal Science and Zoology 47
Replace D. B. Boyle with:
D. B. Boyle Australia
Shashi Bhushan Sudhakar India
Pravesh Kara South Africa
Nicola Douglass South Africa
Geoff Parkyn Canada
V. L. Zaitsev United States
V.M. Carn United Kingdom
Semmannan Kalaiyarasu India
Laurent Mostin Belgium
Willem Van Campe Belgium
Roland Silber relative to D. B. Boyle Australia D. B. Boyle's profile →
Citations per field
00.5×3.8×
D. B. Boyle · 1×
Citations per year

Countries citing papers authored by Roland Silber

Since Specialization
Citations

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

Fields of papers citing papers by Roland Silber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roland Silber, 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 Roland Silber Line = papers co-authored together Roland Silber links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201619
2 201428
3 20148
4 201340
5 201177
6 2010134
7
Phylogenetic analysis of the capripoxvirus RPO30 gene and its use in a PCR test for differentiating sheep poxvirus from goat poxvirus.
20100
8 2010125
9 2009123

About Roland Silber

Roland Silber is a scholar working on Virology, Epidemiology, Genetics, Infectious Diseases and Animal Science and Zoology, having authored 9 papers that have together received 554 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Herpesvirus Infections and Treatments (5 papers), Poxvirus research and outbreaks (5 papers), Virology and Viral Diseases (4 papers), Viral Infections and Vectors (3 papers), vaccines and immunoinformatics approaches (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Virology (389 citations), Epidemiology (436 citations), Agronomy and Crop Science (65 citations), Infectious Diseases (102 citations) and Animal Science and Zoology (47 citations). Roland Silber has collaborated with scholars based in Austria, United Kingdom and France. Frequent co-authors include Charles Euloge Lamien, Adama Diallo, Eeva Tuppurainen, A.G. Luckins, Mamadou Lelenta, Philippe Caufour, Hafsa Madani, Emmanuel Albina, Christian Le Goff and David B. Wallace. Their work appears in journals such as Virus Genes, Journal of General Virology, Transboundary and Emerging Diseases, Veterinary Microbiology and PLoS ONE.

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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