Aidan Cross

1.5k citations
8 papers · 944 · 2 hit papers · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • COVID-19 epidemiological studies

Papers in

Aidan Cross

8 papers receiving 928 citations

Aidan Cross's Hit Papers

SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway 2022 · 457 citations
4570+1+3Years since publication100200300400

Peers

Aidan Cross
Comparison fields: 5 of 74
  • Infectious Diseases 718
  • Modeling and Simulation 115
  • Animal Science and Zoology 77
  • Neurology 59
  • Immunology 79
Replace Chris J. Illingworth with:
Chris J. Illingworth United Kingdom
Matthew Byott United Kingdom
Benjamin H. Foulkes United Kingdom
Laura Atkinson United Kingdom
Silvia Carvalho Brazil
Manoj Baliram Pohare United Kingdom
Sharon N. Hsu United Kingdom
Rhys Izuagbe United Kingdom
Joshua F. Taylor United Kingdom
Samantha E. Hansford United Kingdom
Aidan Cross relative to Chris J. Illingworth United Kingdom Chris J. Illingworth's profile →
Citations per field
00.5×1.6×
Chris J. Illingworth · 1×
Citations per year

Countries citing papers authored by Aidan Cross

Since Specialization
Citations

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

Fields of papers citing papers by Aidan Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

No co-authors to show.

All Works

8 of 8 papers shown
#Work
1
SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway
Hit paper breakdown →
2022457
2
Genomic characteristics and clinical effect of the emergent SARS-CoV-2 B.1.1.7 lineage in London, UK: a whole-genome sequencing and hospital-based cohort study
Hit paper breakdown →
2021290
3 202167
4 202166
5 202241
6 202214
7 20228
8 20231

About Aidan Cross

Aidan Cross is a scholar working on Infectious Diseases, Modeling and Simulation, Animal Science and Zoology, Immunology and Plant Science, having authored 8 papers that have together received 944 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 detection and testing (3 papers), Animal Virus Infections Studies (1 paper), COVID-19 epidemiological studies (1 paper), Plant Virus Research Studies (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Infectious Diseases (718 citations), Modeling and Simulation (115 citations), Animal Science and Zoology (77 citations), Neurology (59 citations) and Immunology (79 citations). Aidan Cross has collaborated with scholars based in United Kingdom. Their work appears in journals such as Scientific Reports, BMC Infectious Diseases, The Lancet Infectious Diseases, Nature and Journal of Hospital Infection.

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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