Sarah Caddy

4.9k citations
32 papers · 1.0k · h-index 19

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 17
    • SARS-CoV-2 and COVID-19 Research 5
    • Virus-based gene therapy research 11

Sarah Caddy

29 papers receiving 981 citations

Peers

Sarah Caddy
Comparison fields: 5 of 88
  • Infectious Diseases 472
  • Animal Science and Zoology 221
  • Physiology 288
  • Hepatology 77
  • Cardiology and Cardiovascular Medicine 193
Replace Junhong Su with:
Junhong Su China
David W. Strong United States
Maura Carrai Italy
Ayako Hasegawa Japan
Peter J. Markwell United Kingdom
W. Grant Guilford New Zealand
Fumio Hoshi Japan
Mia Madel Alfajaro South Korea
Chalermpol Lekcharoensuk Thailand
J.M. Mwenda Kenya
Sarah Caddy relative to Junhong Su China Junhong Su's profile →
Citations per field
00.5×4.5×
Junhong Su · 1×
Citations per year

Countries citing papers authored by Sarah Caddy

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Caddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996318
2 201477
3 202058
4 202053
5 201952
6 201443
7 201239
8 201937
9 202133
10 201733
11 201528
12 201528
13 202326
14 201526
15 201322
16 201722
17 201720
18 201820
19 202118
20 202115

About Sarah Caddy

Sarah Caddy is a scholar working on Infectious Diseases, Genetics, Animal Science and Zoology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Virus-based gene therapy research (11 papers), Animal Virus Infections Studies (10 papers), Viral Infections and Immunology Research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Immune Cell Function and Interaction (3 papers), interferon and immune responses (3 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (472 citations), Animal Science and Zoology (221 citations), Physiology (288 citations), Hepatology (77 citations) and Cardiology and Cardiovascular Medicine (193 citations). Sarah Caddy has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Barbara A. Fielding, A C Borthwick, Ian Goodfellow, David I. W. Phillips, Richard D. Taylor, Vesna Ilić, Keith N. Frayn, Leo C. James, Marina Vaysburd and Guido Papa. Their work appears in journals such as The EMBO Journal, PLoS Pathogens, PLoS ONE, Journal of Virology and Virus Research.

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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