Pia Ryt‐Hansen
- Epidemiology
- Infectious Diseases top 10%
- Agronomy and Crop Science top 5%
- Animal Science and Zoology top 5%
- Genetics
- Co-authors
- Lars Erik LarsenCharlotte Sonne KristensenJesper Schak KrogAnders Gorm PedersenInge LarsenCharlotte Kristiane HjulsagerRamona TrebbienSilke Wacheck
- Topics
- Animal Disease Management and Epidemiology (14 papers)Influenza Virus Research Studies (13 papers)Viral gastroenteritis research and epidemiology (12 papers)
- Partner nations
- DenmarkUnited StatesAustralia
In The Last Decade
Pia Ryt‐Hansen
18 papers receiving 256 citations
Peers
Comparison fields: 5 of 25
- Epidemiology 172
- Infectious Diseases 147
- Agronomy and Crop Science 141
- Animal Science and Zoology 103
- Genetics 56
Countries citing papers authored by Pia Ryt‐Hansen
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
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-authorship network of co-authors of Pia Ryt‐Hansen
This figure shows the co-authorship network connecting the top 25 collaborators of Pia Ryt‐Hansen. A scholar is included among the top collaborators of Pia Ryt‐Hansen 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 Pia Ryt‐Hansen. Pia Ryt‐Hansen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 14 | |
| 13 | 9 | |
| 14 | 44 | |
| 15 | 30 | |
| 16 | 21 | |
| 17 | 17 | |
| 18 | 17 | |
| 19 | 26 | |
| 20 | Outbreaks of Aleutian mink disease in farmed mink (Neovison vison) in Denmark: molecular characterization by partial NS1 gene sequencing | 1 |
About Pia Ryt‐Hansen
Pia Ryt‐Hansen is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Infectious Diseases, 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) and Viral gastroenteritis research and epidemiology (12 papers). The work is most often cited by research in Agronomy and Crop Science (141 citations), Animal Science and Zoology (103 citations) and Infectious Diseases (147 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 Mariann Chriél. Their work appears in journals such as PLoS ONE, Emerging infectious diseases and PLoS Pathogens.
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.