Abby Patterson

484 citations
19 papers · 375 · h-index 10

Impact in

Papers in

Abby Patterson

18 papers receiving 366 citations

Peers

Abby Patterson
Comparison fields: 5 of 27
  • Animal Science and Zoology 302
  • Agronomy and Crop Science 120
  • Infectious Diseases 202
  • Cardiology and Cardiovascular Medicine 154
  • Genetics 173
Replace Yonlayong Woonwong with:
Yonlayong Woonwong Thailand
Shijiang Mi China
Aliper Ti Russia
G. Sala Italy
Sung J. Yoo South Korea
Chaitawat Sirisereewan Thailand
Xiao-Hui Wen China
Joel Nerem United States
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Citations per field
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Citations per year

Countries citing papers authored by Abby Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Abby Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016106
2 200966
3 200830
4 201226
5 200821
6
Limited susceptibility of three different mouse (Mus musculus) lines to Porcine circovirus-2 infection and associated lesions.
200920
7 201119
8 200917
9 202114
10 201111
11 20109
12 20209
13 20118
14 20187
15 20186
16 20234
17
Efficacy of Porcine Circovirus Type 2a and 2d Based Vaccines Following PCV2 Challenge
20191
18 20071
19 20240

About Abby Patterson

Abby Patterson is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 19 papers that have together received 375 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (16 papers), Viral gastroenteritis research and epidemiology (12 papers), Virus-based gene therapy research (12 papers), Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (3 papers), Animal Disease Management and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Animal Science and Zoology (302 citations), Agronomy and Crop Science (120 citations), Infectious Diseases (202 citations), Cardiology and Cardiovascular Medicine (154 citations) and Genetics (173 citations). Abby Patterson has collaborated with scholars based in United States and Canada. Frequent co-authors include Tanja Opriessnig, Xiang‐Jin Meng, Patrick G. Halbur, Darin Madson, Sheela Ramamoorthy, Drew R. Magstadt, Jennifer A. Schleining, Bailey Arruda, Kent Schwartz and Joseph Victoria. Their work appears in journals such as Veterinary Microbiology, Journal of Veterinary Diagnostic Investigation, PLoS ONE, Frontiers in Immunology and Virology.

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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