Ryan M. O’Connell

19.8k citations
110 papers · 15.9k indexed · 10 hit papers · h-index 49
  • Cancer Research top 0.05%
    • MicroRNA in disease regulation 43
    • Cancer-related molecular mechanisms research 12
  • Immunology top 0.2%
    • Immune Cell Function and Interaction 15
    • Immune Response and Inflammation 15
    • Immune cells in cancer 14
    • Circular RNAs in diseases 21
    • Gut microbiota and health 11
    • Extracellular vesicles in disease 11
  • Neurology top 2%

Ryan M. O’Connell

107 papers receiving 15.7k citations

Hit Papers

Expansion of Bacteriopha...407200220262010201850010001.5k

Peers

Ryan M. O’Connell
Comparison fields: 5 of 155
  • Cancer Research 6.8k
  • Immunology 6.1k
  • Molecular Biology 8.6k
  • Neurology 515
  • Microbiology 386
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Citations per field
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Citations per year

Countries citing papers authored by Ryan M. O’Connell

Since Specialization
Citations

This map shows the geographic impact of Ryan M. 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 Ryan M. 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 Ryan M. O’Connell more than expected).

Fields of papers citing papers by Ryan M. O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 20232
3 202324
4 202111
5 202029
6 2019297
7 2017171
8 2016113
9 201524
10 201528
11
Inositol phosphatase SHIP1 is a primary target of miR-155breakdown →
2009691
12 2009129
13
Inflammasome-mediated production of IL-1β is required for neutrophil recruitment against Staphylococcus aureus in vivo (Journal of Immunolgy (2007) 179 (6933-6942))
200824
14
MicroRNA-155 is induced during the macrophage inflammatory responsebreakdown →
20071552
15 2007271
16 200575
17 2004414
18 2004380
19 2003340
20 2003151

About Ryan M. O’Connell

Ryan M. O’Connell is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 110 papers that have together received 15.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (43 papers), Circular RNAs in diseases (21 papers), Immune Cell Function and Interaction (15 papers), Immune Response and Inflammation (15 papers), Immune cells in cancer (14 papers), Cancer-related molecular mechanisms research (12 papers), Gut microbiota and health (11 papers) and Extracellular vesicles in disease (11 papers). The work is most often cited by research in Cancer Research (6.8k citations), Immunology (6.1k citations) and Molecular Biology (8.6k citations). Ryan M. O’Connell has collaborated with scholars based in United States, Türkiye and France. Frequent co-authors include David Baltimore, Dinesh S. Rao, Aadel A. Chaudhuri, Konstantin D. Taganov, Genhong Cheng, Mark Boldin, June L. Round, Jimmy L. Zhao, Sagar A. Vaidya and William S. Gibson. Their work appears in journals such as The Journal of Immunology, Blood, Proceedings of the National Academy of Sciences, Immunity and The Journal of Experimental Medicine.

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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