Jonathan C. O’Connell

1.3k citations
18 papers · 585 · h-index 13

Impact in

    • Neuropeptides and Animal Physiology
    • Receptor Mechanisms and Signaling
    • Phosphodiesterase function and regulation
    • Pharmacological Receptor Mechanisms and Effects
    • Epigenetics and DNA Methylation
    • Cancer-related gene regulation
    • Chemical Synthesis and Analysis

Papers in

    • Receptor Mechanisms and Signaling 6
    • Chemical Synthesis and Analysis 3
    • Pharmacological Receptor Mechanisms and Effects 3
    • Phosphodiesterase function and regulation 3
    • Protein Tyrosine Phosphatases 2
    • Neuropeptides and Animal Physiology 5

Jonathan C. O’Connell

18 papers receiving 562 citations

Peers

Jonathan C. O’Connell
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 194
  • Molecular Biology 489
  • Pharmacology 113
  • Pharmacology 27
  • Organic Chemistry 65
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan C. O’Connell

Since Specialization
Citations

This map shows the geographic impact of Jonathan C. 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 Jonathan C. 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 Jonathan C. O’Connell more than expected).

Fields of papers citing papers by Jonathan C. O’Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013126
2 199687
3 200869
4 201560
5 199956
6 202035
7 201428
8 200719
9 201118
10 201315
11 201313
12 202012
13 199512
14 201211
15 201410
16 20178
17 20115
18
Studying GPCR trafficking using automated HCS tools
20101

About Jonathan C. O’Connell

Jonathan C. O’Connell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Organic Chemistry and Pharmacology, having authored 18 papers that have together received 585 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers), Chemical Synthesis and Analysis (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Phosphodiesterase function and regulation (3 papers), Protein Tyrosine Phosphatases (2 papers), Galectins and Cancer Biology (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (194 citations), Molecular Biology (489 citations), Pharmacology (113 citations), Pharmacology (27 citations) and Organic Chemistry (65 citations). Jonathan C. O’Connell has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Martyn Banks, Miles D. Houslay, Andrew Alt, Neil T. Burford, Graeme B. Bolger, Tom S. Wehrman, Samuel W. Gerritz, John R. Traynor, Mary J. Clark and Matthew Beard. Their work appears in journals such as SLAS DISCOVERY, Journal of Medicinal Chemistry, Assay and Drug Development Technologies, Organic Letters and FEBS Letters.

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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