Sinead E. Morris

1.9k citations
24 papers · 503 · h-index 9

Impact in

Papers in

Sinead E. Morris

22 papers receiving 494 citations

Peers

Sinead E. Morris
Comparison fields: 5 of 82
  • Modeling and Simulation 259
  • Infectious Diseases 301
  • Health 125
  • Epidemiology 94
  • Virology 11
Replace Finlay Campbell with:
Finlay Campbell United Kingdom
Céline Gurry United Kingdom
Arthur W. D. Edridge Netherlands
Joann M. Zamparo United States
Jonathan E. Pekar United States
Nguyễn Thu Hương Vietnam
Ange Bissielo New Zealand
Andrea C. Carcelen United States
Sibylle Bernard-Stoecklin France
Matt Ferrari United States
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 2021126
3 202166
4 201538
5 201525
6 201915
7 201814
8 202314
9 201810
10 20238
11 20206
12
The humoral immune response in cattle after immunization with a multivalent IBR/PI3/Pasteurella haemolytica A1 leukotoxin vaccine.
19976
13 20245
14 20245
15 20234
16 20243
17 20203
18 20251
19 20241
20 20251

About Sinead E. Morris

Sinead E. Morris is a scholar working on Modeling and Simulation, Epidemiology, Infectious Diseases, Virology and Health, having authored 24 papers that have together received 503 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (15 papers), Influenza Virus Research Studies (12 papers), SARS-CoV-2 and COVID-19 Research (6 papers), HIV Research and Treatment (4 papers), Respiratory viral infections research (4 papers), HIV/AIDS Research and Interventions (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Smoking Behavior and Cessation (2 papers). The work is most often cited by research in Modeling and Simulation (259 citations), Infectious Diseases (301 citations), Health (125 citations), Epidemiology (94 citations) and Virology (11 citations). Sinead E. Morris has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bryan T. Grenfell, C. Jessica E. Metcalf, Andrea L. Graham, Simon A. Levin, Rachel E. Baker, Jeremy Farrar, Chadi M. Saad-Roy, Michael J. Mina, Caroline E. Wagner and Oliver G. Pybus. Their work appears in journals such as Science, Journal of The Royal Society Interface, PLoS Pathogens, Vaccine X and Clinical Infectious Diseases.

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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