Sinead E. Morris

1.9k citations
25 papers · 513 · h-index 9

Impact in

Papers in

    • Influenza Virus Research Studies 12
    • Respiratory viral infections research 3
    • Virology and Viral Diseases 2
    • COVID-19 epidemiological studies 12

Sinead E. Morris

23 papers receiving 504 citations

Peers

Sinead E. Morris
Comparison fields: 5 of 81
  • Modeling and Simulation 235
  • Infectious Diseases 270
  • Health 102
  • Epidemiology 93
  • Developmental Biology 5
Replace Finlay Campbell with:
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Sarah Kada United States
Arthur W. D. Edridge Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Sinead E. Morris

Since Specialization
Citations

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

Fields of papers citing papers by Sinead E. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinead E. Morris. 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 Sinead E. Morris. The network helps show where Sinead E. Morris may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020151
2 2021128
3 202166
4 201538
5 201525
6 201916
7 201815
8 202314
9 201810
10 20238
11 20206
12 20246
13
The humoral immune response in cattle after immunization with a multivalent IBR/PI3/Pasteurella haemolytica A1 leukotoxin vaccine.
19976
14 20245
15 20235
16 20203
17 20243
18 20252
19 20252
20 20221

About Sinead E. Morris

Sinead E. Morris is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Virology and Health, having authored 25 papers that have together received 513 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (12 papers), Influenza Virus Research Studies (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Respiratory viral infections research (3 papers), HIV Research and Treatment (3 papers), Vaccine Coverage and Hesitancy (2 papers), Virology and Viral Diseases (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Modeling and Simulation (235 citations), Infectious Diseases (270 citations), Health (102 citations), Epidemiology (93 citations) and Developmental Biology (5 citations). Sinead E. Morris has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Bryan T. Grenfell, C. Jessica E. Metcalf, Jeremy Farrar, Caroline E. Wagner, Simon A. Levin, Chadi M. Saad-Roy, Michael J. Mina, Rachel E. Baker, Andrea L. Graham and Oliver G. Pybus. Their work appears in journals such as Science, Journal of The Royal Society Interface, Vaccine X, PLoS Pathogens 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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