Joe O’Connell

2.2k citations
37 papers · 1.9k · h-index 21

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cell death mechanisms and regulation 18
    • Molecular Biology Techniques and Applications 9
    • T-cell and B-cell Immunology 8

Joe O’Connell

37 papers receiving 1.8k citations

Peers

Joe O’Connell
Comparison fields: 5 of 79
  • Immunology 415
  • Oncology 373
  • Molecular Biology 762
  • Hepatology 100
  • Genetics 193
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Joe O’Connell relative to Michael J. Pinkoski United States Michael J. Pinkoski's profile →
Citations per field
00.5×1.5×2.1×
Michael J. Pinkoski · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998287
2 1999195
3 2004144
4 2001141
5 1998111
6 2004104
7 200089
8 199983
9 200577
10 199962
11 199757
12 200554
13 200053
14 199847
15 200343
16 199941
17 200040
18 200632
19 199924
20 200322

About Joe O’Connell

Joe O’Connell is a scholar working on Molecular Biology, Immunology, Oncology, Cellular and Molecular Neuroscience and Cancer Research, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (18 papers), Molecular Biology Techniques and Applications (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), T-cell and B-cell Immunology (8 papers), Neuropeptides and Animal Physiology (3 papers), Inflammatory Bowel Disease (2 papers), Protease and Inhibitor Mechanisms (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Immunology (415 citations), Oncology (373 citations), Molecular Biology (762 citations), Hepatology (100 citations) and Genetics (193 citations). Joe O’Connell has collaborated with scholars based in Ireland, United States and Australia. Frequent co-authors include Fergus Shanahan, Gerald C. O’Sullivan, John Kevin Collins, Michael Bennett, Aileen M. Houston, Kenneth Nally, Aideen E. Ryan, Raymond Kelly, Kevin J. Collins and Paul MacDaragh Ryan. Their work appears in journals such as Annals of the New York Academy of Sciences, Nature Medicine, Journal of Cellular Physiology, The Journal of Immunology and The Journal of Pathology.

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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