Helen Conroy

1.4k citations
12 papers · 1.2k · h-index 11

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Macrophage Migration Inhibitory Factor
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction

Papers in

    • Immunotherapy and Immune Responses 5
    • Immune Response and Inflammation 3
    • Macrophage Migration Inhibitory Factor 2
    • interferon and immune responses 1

Helen Conroy

12 papers receiving 1.1k citations

Peers

Helen Conroy
Comparison fields: 5 of 105
  • Immunology 591
  • Cancer Research 139
  • Microbiology 51
  • Oncology 201
  • Molecular Biology 473
Replace Vito Ruggiero with:
Vito Ruggiero Italy
Kristen Page United States
Glen M. Scholz Australia
D. Resnick United States
Toshihiko Kobayashi Japan
Mark Baer United States
Fred Wong Canada
C Gallegos United States
Stephen Demczuk Switzerland
Y. Shibata Japan
Helen Conroy relative to Vito Ruggiero Italy Vito Ruggiero's profile →
Citations per field
00.5×2.5×
Vito Ruggiero · 1×
Citations per year

Countries citing papers authored by Helen Conroy

Since Specialization
Citations

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

Fields of papers citing papers by Helen Conroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003303
2 2010161
3 2003153
4 2008138
5 2008114
6 200196
7 200561
8 201453
9 201141
10 200824
11
Bouchier-Hayes, L. et al. CARDINAL, a novel caspase recruitment domain protein, is an inhibitor of multiple NF-B activation pathways. J. Biol. Chem. 276, 44069-44077
200113
12 20073

About Helen Conroy

Helen Conroy is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Oncology and Information Systems, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (3 papers), Nuclear Receptors and Signaling (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Macrophage Migration Inhibitory Factor (2 papers), interferon and immune responses (1 paper), Microtubule and mitosis dynamics (1 paper) and Library Science and Information Literacy (1 paper). The work is most often cited by research in Immunology (591 citations), Cancer Research (139 citations), Microbiology (51 citations), Oncology (201 citations) and Molecular Biology (473 citations). Helen Conroy has collaborated with scholars based in Ireland, Canada and United Kingdom. Frequent co-authors include Emma M. Creagh, Séamus J. Martin, Kingston H. G. Mills, Seamas C. Donnelly, Leona Mawhinney, Neil A. Marshall, Julie Park, Keara Lane, Alain Charest and David E. Housman. Their work appears in journals such as The Journal of Immunology, QJM, Journal of Biological Chemistry, Vaccine and Cancer Immunology Immunotherapy.

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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