Jonathan C. O’Connell

1.3k total citations
18 papers, 585 citations indexed

About

Jonathan C. O’Connell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Jonathan C. O’Connell has authored 18 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Jonathan C. O’Connell's work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers) and Chemical Synthesis and Analysis (3 papers). Jonathan C. O’Connell is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (5 papers) and Chemical Synthesis and Analysis (3 papers). Jonathan C. O’Connell collaborates with scholars based in United States, Germany and United Kingdom. Jonathan C. O’Connell's co-authors include Martyn Banks, Andrew Alt, Miles D. Houslay, Neil T. Burford, Graeme B. Bolger, Tom S. Wehrman, Samuel W. Gerritz, John R. Traynor, Mary J. Clark and Matthew Beard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and FEBS Letters.

In The Last Decade

Jonathan C. O’Connell

18 papers receiving 562 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan C. O’Connell United States 13 489 194 113 65 40 18 585
Saheem A. Zaidi United States 13 428 0.9× 278 1.4× 46 0.4× 72 1.1× 32 0.8× 27 549
Chidochangu P. Mpamhanga United Kingdom 8 438 0.9× 113 0.6× 70 0.6× 66 1.0× 53 1.3× 10 635
Andrew D. Gribble United Kingdom 14 362 0.7× 177 0.9× 41 0.4× 88 1.4× 34 0.8× 20 674
Brian J. Holleran Canada 14 327 0.7× 205 1.1× 60 0.5× 23 0.4× 28 0.7× 30 457
Bonnie J. Hanson United States 14 419 0.9× 148 0.8× 54 0.5× 26 0.4× 32 0.8× 20 557
Celia A. Whitesitt United States 13 359 0.7× 259 1.3× 76 0.7× 128 2.0× 55 1.4× 27 560
Xirong Zheng United States 14 254 0.5× 131 0.7× 137 1.2× 35 0.5× 33 0.8× 28 541
Ravi B. Marala United States 13 476 1.0× 176 0.9× 41 0.4× 107 1.6× 95 2.4× 17 790
Amanda J. Wheal United Kingdom 10 229 0.5× 108 0.6× 154 1.4× 21 0.3× 31 0.8× 10 429
Beverley Hammond United Kingdom 9 145 0.3× 96 0.5× 91 0.8× 66 1.0× 40 1.0× 11 418

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-authorship network of co-authors of Jonathan C. O’Connell

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan C. O’Connell. A scholar is included among the top collaborators of Jonathan C. O’Connell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan C. O’Connell. Jonathan C. O’Connell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Franklin, G. Joseph, et al.. (2020). The Impact of Variable Selection Coverage on Detection of Ligands from a DNA-Encoded Library Screen. SLAS DISCOVERY. 25(5). 515–522. 12 indexed citations
2.
Feng, Jing, Ting Peng, Jinqiao Wan, et al.. (2020). Synthesis of Multifunctional 2-Aminobenzimidazoles on DNA via Iodine-Promoted Cyclization. Organic Letters. 22(4). 1290–1294. 35 indexed citations
3.
Elkin, Lisa, et al.. (2017). Challenges and Opportunities in Enabling High-Throughput, Miniaturized High Content Screening. Methods in molecular biology. 1683. 165–191. 8 indexed citations
4.
Burford, Neil T., Kathryn E. Livingston, Meritxell Canals, et al.. (2015). Discovery, Synthesis, and Molecular Pharmacology of Selective Positive Allosteric Modulators of the δ-Opioid Receptor. Journal of Medicinal Chemistry. 58(10). 4220–4229. 60 indexed citations
5.
Burford, Neil T., Tom S. Wehrman, Daniel L. Bassoni, et al.. (2014). Identification of Selective Agonists and Positive Allosteric Modulators for µ- and δ-Opioid Receptors from a Single High-Throughput Screen. SLAS DISCOVERY. 19(9). 1255–1265. 28 indexed citations
6.
Zhu, Ying‐Jie, John B. Watson, Mengjie Chen, et al.. (2014). Integrating High-Content Analysis into a Multiplexed Screening Approach to Identify and Characterize GPCR Agonists. SLAS DISCOVERY. 19(7). 1079–1089. 10 indexed citations
7.
Tang, Huaping, Ding Ren Shen, Yong–Hae Han, et al.. (2013). Development of Novel, 384-Well High-Throughput Assay Panels for Human Drug Transporters: Drug Interaction and Safety Assessment in Support of Discovery Research. SLAS DISCOVERY. 18(9). 1072–1083. 13 indexed citations
8.
Blat, Yuval, Barbara Robertson, Bradley C. Pearce, et al.. (2013). Identification of Small Molecules That Selectively Inhibit Diacylglycerol Lipase–α Activity. SLAS DISCOVERY. 19(4). 595–605. 15 indexed citations
9.
Burford, Neil T., Mary J. Clark, Tom S. Wehrman, et al.. (2013). Discovery of positive allosteric modulators and silent allosteric modulators of the μ-opioid receptor. Proceedings of the National Academy of Sciences. 110(26). 10830–10835. 126 indexed citations
10.
Noblin, Devin J., Robert L. Bertekap, Neil T. Burford, et al.. (2012). Development of a High-Throughput Calcium Flux Assay for Identification of All Ligand Types Including Positive, Negative, and Silent Allosteric Modulators for G Protein-Coupled Receptors. Assay and Drug Development Technologies. 10(5). 457–467. 11 indexed citations
11.
Kostich, Walter A., Samuel W. Gerritz, Yanling Huang, et al.. (2011). A High-Throughput Screen for Receptor Protein Tyrosine Phosphatase–γ Selective Inhibitors. SLAS DISCOVERY. 16(5). 476–485. 5 indexed citations
12.
Sheriff, S., Brett R. Beno, Weixu Zhai, et al.. (2011). Small Molecule Receptor Protein Tyrosine Phosphatase γ (RPTPγ) Ligands That Inhibit Phosphatase Activity via Perturbation of the Tryptophan–Proline–Aspartate (WPD) Loop. Journal of Medicinal Chemistry. 54(19). 6548–6562. 18 indexed citations
13.
Zhu, Ying‐Jie, et al.. (2010). Studying GPCR trafficking using automated HCS tools. 1 indexed citations
14.
Purandare, Ashok V., Zhong Chen, Tram Huynh, et al.. (2008). Pyrazole inhibitors of coactivator associated arginine methyltransferase 1 (CARM1). Bioorganic & Medicinal Chemistry Letters. 18(15). 4438–4441. 69 indexed citations
15.
Zhu, Zhengrong, Jeremy Stewart, John J. Herbst, et al.. (2007). Use of Cryopreserved Transiently Transfected Cells in High-Throughput Pregnane X Receptor Transactivation Assay. SLAS DISCOVERY. 12(2). 248–254. 19 indexed citations
16.
Beard, Matthew, Jonathan C. O’Connell, Graeme B. Bolger, & Miles D. Houslay. (1999). The unique N‐terminal domain of the cAMP phosphodiesterase PDE4D4 allows for interaction with specific SH3 domains. FEBS Letters. 460(1). 173–177. 56 indexed citations
17.
O’Connell, Jonathan C., J. Fraser McCALLUM, Ian McPhee, et al.. (1996). The SH3 domain of Src tyrosyl protein kinase interacts with the N-terminal splice region of the PDE4A cAMP-specific phosphodiesterase RPDE-6 (RNPDE4A5). Biochemical Journal. 318(1). 255–261. 87 indexed citations
18.

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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