Angela Danner

625 citations
13 papers · 368 · h-index 11

Impact in

Papers in

Angela Danner

13 papers receiving 360 citations

Peers

Angela Danner
Comparison fields: 5 of 44
  • Agronomy and Crop Science 184
  • Infectious Diseases 170
  • Epidemiology 295
  • Modeling and Simulation 20
  • Animal Science and Zoology 40
Replace Quanjiao Chen with:
Quanjiao Chen China
Shintaro Shichinohe Japan
Bernardo Lozano-Dubernard United States
Myeisha Paskel United States
Felipa Castro-Peralta United States
Tri Bhakti Usman Australia
Sylvia B.E. Pritz-Verschuren Netherlands
Eleonora Molesti United Kingdom
Karthik Shanmuganatham United States
Jon P. Seiler United States
Angela Danner relative to Quanjiao Chen China Quanjiao Chen's profile →
Citations per field
00.5×1.5×
Quanjiao Chen · 1×
Citations per year

Countries citing papers authored by Angela Danner

Since Specialization
Citations

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

Fields of papers citing papers by Angela Danner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201592
2 201373
3 201350
4 201531
5 201324
6 201917
7 201216
8 201616
9 201314
10 201514
11 201510
12 20177
13 20204

About Angela Danner

Angela Danner is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Immunology and Modeling and Simulation, having authored 13 papers that have together received 368 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Animal Disease Management and Epidemiology (8 papers), Respiratory viral infections research (8 papers), Viral Infections and Vectors (4 papers), Immune Response and Inflammation (3 papers), interferon and immune responses (1 paper), COVID-19 epidemiological studies (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Agronomy and Crop Science (184 citations), Infectious Diseases (170 citations), Epidemiology (295 citations), Modeling and Simulation (20 citations) and Animal Science and Zoology (40 citations). Angela Danner has collaborated with scholars based in United States, Chile and Saudi Arabia. Frequent co-authors include Robert G. Webster, Scott Krauss, Heather Forrest, Jeremy C. Jones, Jon P. Seiler, Darren Smith, Jacqueline Smith, J. Seiler, David W. Burt and Richard J. Webby. Their work appears in journals such as Influenza and Other Respiratory Viruses, Journal of Virology, Emerging Microbes & Infections, PLoS Pathogens and BMC Genomics.

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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