Patrick Seiler

4.2k citations
50 papers · 2.7k · h-index 27

Impact in

Papers in

    • Influenza Virus Research Studies 48
    • Respiratory viral infections research 15
    • Virology and Viral Diseases 3
    • Animal Disease Management and Epidemiology 31

Patrick Seiler

48 papers receiving 2.6k citations

Peers

Patrick Seiler
Comparison fields: 5 of 81
  • Agronomy and Crop Science 1.5k
  • Epidemiology 2.4k
  • Infectious Diseases 1.2k
  • Modeling and Simulation 121
  • Animal Science and Zoology 264
Replace Salin Chutinimitkul with:
Salin Chutinimitkul Thailand
Tung Nguyen Vietnam
D. J. Hulse-Post United States
K. C. Dyrting China
Elke Starick Germany
Victoria Gregory United Kingdom
Wilina Lim China
Elsayed M. Abdelwhab Germany
Youn‐Jeong Lee South Korea
Jayna Raghwani United Kingdom
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Citations per field
00.5×1.6×
Salin Chutinimitkul · 1×
Citations per year

Countries citing papers authored by Patrick Seiler

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005402
2 2005369
3 2007231
4 2009121
5 2013106
6 201093
7 200988
8 200687
9 201186
10 200382
11 200782
12 201781
13 200874
14 201371
15 201449
16 202046
17 201746
18 201446
19 201644
20 201636

About Patrick Seiler

Patrick Seiler is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 50 papers that have together received 2.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (48 papers), Animal Disease Management and Epidemiology (31 papers), Respiratory viral infections research (15 papers), Viral Infections and Vectors (13 papers), Viral gastroenteritis research and epidemiology (8 papers), Animal Virus Infections Studies (5 papers), COVID-19 epidemiological studies (4 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Agronomy and Crop Science (1.5k citations), Epidemiology (2.4k citations), Infectious Diseases (1.2k citations), Modeling and Simulation (121 citations) and Animal Science and Zoology (264 citations). Patrick Seiler has collaborated with scholars based in United States, Bangladesh and Egypt. Frequent co-authors include Robert G. Webster, Richard J. Webby, Elena A. Govorkova, Scott Krauss, Yi Guan, John Franks, Malik Peiris, Jennifer Humberd, T.M. Ellis and H. T. Long. Their work appears in journals such as Emerging Microbes & Infections, Emerging infectious diseases, Virology, Journal of Virology and Influenza and Other Respiratory Viruses.

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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