Joe O’Connell

2.3k citations
39 papers · 2.0k · h-index 22

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
    • Immune Response and Inflammation
  • Oncology top 5%
    • Cancer-related Molecular Pathways
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cell death mechanisms and regulation 18
    • Molecular Biology Techniques and Applications 8
    • RNA Research and Splicing 5
    • Phagocytosis and Immune Regulation 9
    • interferon and immune responses 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 4

Joe O’Connell

39 papers receiving 1.9k citations

Peers

Joe O’Connell
Comparison fields: 5 of 86
  • Immunology 733
  • Oncology 446
  • Molecular Biology 993
  • Cancer Research 181
  • Hepatology 85
Replace Kazuyuki Furuta with:
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Citations per field
00.5×1.7×
Kazuyuki Furuta · 1×
Citations per year

Countries citing papers authored by Joe O’Connell

Since Specialization
Citations

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

Fields of papers citing papers by Joe O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe O’Connell. 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 Joe O’Connell. The network helps show where Joe O’Connell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998288
2 1999196
3 2001137
4 2004137
5 1998109
6 2004104
7 200088
8 199983
9 200576
10 200270
11 199960
12 199755
13 200554
14 200053
15 199848
16 200343
17 199941
18 200040
19 200632
20 199925

About Joe O’Connell

Joe O’Connell is a scholar working on Molecular Biology, Immunology, Epidemiology, Oncology and Surgery, having authored 39 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (18 papers), Phagocytosis and Immune Regulation (9 papers), Molecular Biology Techniques and Applications (8 papers), interferon and immune responses (6 papers), RNA Research and Splicing (5 papers), Hepatitis B Virus Studies (4 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (733 citations), Oncology (446 citations), Molecular Biology (993 citations), Cancer Research (181 citations) and Hepatology (85 citations). Joe O’Connell has collaborated with scholars based in Ireland, United States and Bulgaria. Frequent co-authors include Fergus Shanahan, Gerald C. O’Sullivan, John Collins, Michael Bennett, Aileen Houston, Desmond Roche, Ciarán Brady, Kenneth Nally, Aideen E. Ryan and Raymond Kelly. Their work appears in journals such as Annals of the New York Academy of Sciences, The Journal of Immunology, The Journal of Pathology, Nature Medicine and Journal of Cellular Physiology.

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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