D Fahey

936 citations
8 papers · 861 · h-index 7

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Fibroblast Growth Factor Research 1
    • Cytokine Signaling Pathways and Interactions 3
    • Peptidase Inhibition and Analysis 1

D Fahey

8 papers receiving 811 citations

Peers

D Fahey
Comparison fields: 5 of 66
  • Immunology 546
  • Oncology 369
  • Immunology and Allergy 41
  • Molecular Biology 420
  • Cancer Research 72
Replace W J Leonard with:
W J Leonard United States
M T Maunoury France
Georgia Floyd-Smith United States
Christian Kardinal Germany
Andrew A. Branca United States
Susan A. Veals United States
V Duprez France
R B Acres France
Jayshree J. Nadkarni India
Kathleen Bengali United States
D Fahey relative to W J Leonard United States W J Leonard's profile →
Citations per field
00.5×1.5×
W J Leonard · 1×
Citations per year

Countries citing papers authored by D Fahey

Since Specialization
Citations

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

Fields of papers citing papers by D Fahey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside D Fahey, 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 D Fahey Line = papers co-authored together D Fahey links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1987374
2 1986144
3 1985143
4 198894
5 198164
6 198230
7 19878
8 20234

About D Fahey

D Fahey is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 8 papers that have together received 861 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Fibroblast Growth Factor Research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Immunology (546 citations), Oncology (369 citations), Immunology and Allergy (41 citations), Molecular Biology (420 citations) and Cancer Research (72 citations). D Fahey has collaborated with scholars based in United States and Australia. Frequent co-authors include E. Knight, Nancy C. Reich, James Darnell, David E. Levy, Bronwyn A. Evans, Dale C. Blomstrom, Rusty Kutny, Bruce D. Korant, Elizabeth D. Anton and Gerald J. Jonak. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Mutation research. Fundamental and molecular mechanisms of mutagenesis and Journal of Interferon 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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