Pia Ryt‐Hansen

401 citations
22 papers · 258 · h-index 10

Impact in

Papers in

    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 3
    • Herpesvirus Infections and Treatments 2
    • Animal Disease Management and Epidemiology 14

Pia Ryt‐Hansen

18 papers receiving 256 citations

Peers

Pia Ryt‐Hansen
Comparison fields: 5 of 25
  • Agronomy and Crop Science 141
  • Animal Science and Zoology 103
  • Infectious Diseases 147
  • Epidemiology 172
  • Microbiology 16
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Citations per field
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Citations per year

Countries citing papers authored by Pia Ryt‐Hansen

Since Specialization
Citations

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

Fields of papers citing papers by Pia Ryt‐Hansen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pia Ryt‐Hansen. 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 Pia Ryt‐Hansen. The network helps show where Pia Ryt‐Hansen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202044
2 201930
3 201726
4 202024
5 202123
6 201921
7 201717
8 201917
9 202114
10 202211
11 20239
12 20209
13 20224
14 20243
15 20232
16 20241
17 20241
18 20231
19
Outbreaks of Aleutian mink disease in farmed mink (Neovison vison) in Denmark: molecular characterization by partial NS1 gene sequencing
20161
20 20250

About Pia Ryt‐Hansen

Pia Ryt‐Hansen is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Molecular Biology, having authored 22 papers that have together received 258 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (14 papers), Influenza Virus Research Studies (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (7 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Respiratory viral infections research (3 papers), Herpesvirus Infections and Treatments (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Agronomy and Crop Science (141 citations), Animal Science and Zoology (103 citations), Infectious Diseases (147 citations), Epidemiology (172 citations) and Microbiology (16 citations). Pia Ryt‐Hansen has collaborated with scholars based in Denmark, United States and Australia. Frequent co-authors include Lars Erik Larsen, Charlotte Sonne Kristensen, Jesper Schak Krog, Anders Gorm Pedersen, Inge Larsen, Charlotte Kristiane Hjulsager, Ramona Trebbien, Silke Wacheck, Lise Kirstine Kvisgaard and Lars Ole Andresen. Their work appears in journals such as Viruses, Virology Journal, Virus Research, Vaccine and BMC Veterinary Research.

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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