Ashley Otter

7.7k citations
21 papers · 277 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Vaccine Coverage and Hesitancy

Papers in

    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 detection and testing 3
    • Poxvirus research and outbreaks 6

Ashley Otter

16 papers receiving 269 citations

Peers

Ashley Otter
Comparison fields: 5 of 55
  • Infectious Diseases 207
  • Health 35
  • Modeling and Simulation 18
  • Animal Science and Zoology 28
  • Genetics 26
Replace Sara Caldrer with:
Sara Caldrer Italy
Cecilie Bo Hansen Denmark
Helen E. Kent Australia
Francesca L. Mordant Australia
Elli Rosenberg Israel
David X. Lee United States
Alex Richter United Kingdom
Martin Qui Singapore
Ludwig Knabl Austria
Tomer Zohar United States
Ashley Otter relative to Sara Caldrer Italy Sara Caldrer's profile →
Citations per field
00.5×3.3×
Sara Caldrer · 1×
Citations per year

Countries citing papers authored by Ashley Otter

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Otter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202174
2 202259
3 202138
4 202130
5 202320
6 202213
7 202210
8 20209
9 20235
10 19865
11 20254
12 20214
13 20242
14 20252
15 20241
16 20211
17 20250
18 20230
19 20250
20 20250

About Ashley Otter

Ashley Otter is a scholar working on Infectious Diseases, Virology, Epidemiology, Immunology and Molecular Biology, having authored 21 papers that have together received 277 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers), Poxvirus research and outbreaks (6 papers), Bacillus and Francisella bacterial research (4 papers), Herpesvirus Infections and Treatments (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), SARS-CoV-2 detection and testing (3 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Infectious Diseases (207 citations), Health (35 citations), Modeling and Simulation (18 citations), Animal Science and Zoology (28 citations) and Genetics (26 citations). Ashley Otter has collaborated with scholars based in United Kingdom, Netherlands and Canada. Frequent co-authors include Christine Stephens, Helen Parry, Jianmin Zuo, Paul Moss, Rachel Bruton, Kevin Brown, Gayatri Amirthalingam, Bassam Hallis, Christopher Bentley and Sian Faustini. Their work appears in journals such as Nature Communications, Transfusion, FEMS Microbiology Reviews, Vaccine and The Lancet Healthy Longevity.

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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