Caroline E Y Murphy

1.1k citations
15 papers · 864 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • interferon and immune responses
    • Tuberculosis Research and Epidemiology
    • Viral gastroenteritis research and epidemiology

Papers in

Caroline E Y Murphy

15 papers receiving 850 citations

Peers

Caroline E Y Murphy
Comparison fields: 5 of 76
  • Immunology 312
  • Infectious Diseases 192
  • Endocrinology 44
  • Epidemiology 201
  • Microbiology 38
Replace Elisabeth Kernbauer with:
Elisabeth Kernbauer Austria
Fany Blanc France
Andreas G. Nerlich Germany
Thomas Ruby United States
Gladys Martinetti Lucchini Switzerland
Akio Matsuhisa Japan
Wiebke Beermann Germany
Shilu Xu United States
Annalisa Lembo United States
Dominique Gütle Germany
Caroline E Y Murphy relative to Elisabeth Kernbauer Austria Elisabeth Kernbauer's profile →
Citations per field
00.5×1.5×2.2×
Elisabeth Kernbauer · 1×
Citations per year

Countries citing papers authored by Caroline E Y Murphy

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E Y Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E Y Murphy. 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 Caroline E Y Murphy. The network helps show where Caroline E Y Murphy may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2007365
2 2007108
3 201066
4 200363
5 202057
6 200946
7 200441
8 200539
9 200523
10 201520
11 201115
12 20129
13 20228
14 20243
15 20071

About Caroline E Y Murphy

Caroline E Y Murphy is a scholar working on Infectious Diseases, Cancer Research, Food Science, Immunology and Molecular Biology, having authored 15 papers that have together received 864 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (3 papers), Immune Response and Inflammation (3 papers), Salmonella and Campylobacter epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Tuberculosis Research and Epidemiology (2 papers), Plant Molecular Biology Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Immunology (312 citations), Infectious Diseases (192 citations), Endocrinology (44 citations), Epidemiology (201 citations) and Microbiology (38 citations). Caroline E Y Murphy has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include C. Carroll, KIERAN N JORDAN, Leslie Sieburth, Weiping Zhang, Aisling Dunne, Luke A.J. O'Neill, Paul N. Moynagh, Douglas Taylor Golenbock, Nancy Jane Rothwell and Katherine A. Fitzgerald. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, Emerging infectious diseases, Nature Genetics and Microbial Biotechnology.

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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