Bertel Strandbygaard

1.5k citations
23 papers · 923 · h-index 14

Impact in

Papers in

Bertel Strandbygaard

23 papers receiving 870 citations

Peers

Bertel Strandbygaard
Comparison fields: 5 of 53
  • Animal Science and Zoology 631
  • Infectious Diseases 705
  • Agronomy and Crop Science 155
  • Genetics 350
  • Modeling and Simulation 26
Replace Jiexiong Xie with:
Jiexiong Xie China
Hai Hoang United States
M. Boschmans Belgium
Mathias Martins United States
Leo Koster United States
Susan E. Detmer Canada
Uladzimir Karniychuk Canada
Hiep L. X. Vu United States
Aaron Singrey United States
Ward Deboutte Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Bertel Strandbygaard

Since Specialization
Citations

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

Fields of papers citing papers by Bertel Strandbygaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997188
2 2020165
3 1998134
4 199374
5 202169
6 201649
7 199545
8 199735
9 199222
10 200121
11 201219
12 201618
13 199618
14 201615
15 202113
16 20109
17 20228
18 20217
19 20165
20 20004

About Bertel Strandbygaard

Bertel Strandbygaard is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Agronomy and Crop Science and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 923 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (15 papers), Viral gastroenteritis research and epidemiology (12 papers), Virus-based gene therapy research (7 papers), Animal Disease Management and Epidemiology (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Immunology Research (4 papers), Vector-Borne Animal Diseases (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Animal Science and Zoology (631 citations), Infectious Diseases (705 citations), Agronomy and Crop Science (155 citations), Genetics (350 citations) and Modeling and Simulation (26 citations). Bertel Strandbygaard has collaborated with scholars based in Denmark, Sweden and United Kingdom. Frequent co-authors include Anette Bøtner, K. J. Sørensen, K. G. Madsen, Thomas Bruun Rasmussen, Graham J. Belsham, P. Have, Søren Alexandersen, Sten Mortensen, Louise Lohse and Anette Boklund. Their work appears in journals such as Veterinary Research, Veterinary Record, Veterinary Microbiology, Viruses and Vaccine.

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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