Clare Hutton

572 citations
17 papers · 270 · 1 hit paper · h-index 6

Impact in

Papers in

Clare Hutton

12 papers receiving 234 citations

Clare Hutton's Hit Papers

GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19 2023 · 121 citations
1210+1+2Years since publication4080120

Peers

Clare Hutton
Comparison fields: 5 of 63
  • Infectious Diseases 69
  • Literature and Literary Theory 23
  • Immunology 36
  • Neurology 22
  • Epidemiology 38
Replace Stacey Short with:
Stacey Short United Kingdom
Carlos Féal Spain
Luis Ortega Spain
Thomas L. Jeffers United States
Maria Thompson United States
Víctor Moreno Cuerda Spain
Angelica Pagliazzi Italy
Ana García-Soidán Spain
Melanie A. Barker United States
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Citations per field
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Citations per year

Countries citing papers authored by Clare Hutton

Since Specialization
Citations

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

Fields of papers citing papers by Clare Hutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Clare Hutton, 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 Clare Hutton Line = papers co-authored together Clare Hutton links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
GWAS and meta-analysis identifies 49 genetic variants underlying critical COVID-19
Hit paper breakdown →
2023121
2 202356
3 202330
4
The Irish book in the twentieth century
200415
5 201914
6 202512
7
Joyce and the institutions of revivalism
20036
8 20254
9
The Oxford History of the Irish Book, Volume V: The Irish Book in English, 1891-2000
20114
10 20233
11 20192
12
Serial Encounters : Ulysses and the Little Review
20191
13 20011
14
The Irish Book in English, 1891-2000
20111
15 20110
16 20090
17 20030

About Clare Hutton

Clare Hutton is a scholar working on Literature and Literary Theory, Sociology and Political Science, Immunology, Cell Biology and Infectious Diseases, having authored 17 papers that have together received 270 indexed citations. Recurring topics across this work include Irish and British Studies (7 papers), Modernist Literature and Criticism (3 papers), Samuel Beckett and Modernism (3 papers), interferon and immune responses (2 papers), American Constitutional Law and Politics (1 paper), COVID-19 Clinical Research Studies (1 paper), Diabetes and associated disorders (1 paper) and American and British Literature Analysis (1 paper). The work is most often cited by research in Infectious Diseases (69 citations), Literature and Literary Theory (23 citations), Immunology (36 citations), Neurology (22 citations) and Epidemiology (38 citations). Clare Hutton has collaborated with scholars based in United Kingdom. Frequent co-authors include Mohsan Subhani, Joanne R Morling, Stefan Rennick‐Egglestone, Holly Knight, Katy A. Jones, Stephen David Ryder, Doyo Gragn Enki, Kirsty Sprange, Patrick A. Walsh and Matthew Hutton. Their work appears in journals such as Nature, The Papers of the Bibliographical Society of America, Essays in Criticism, EClinicalMedicine and JAMA.

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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