John J. Lowery

435 total citations
9 papers, 356 citations indexed

About

John J. Lowery is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, John J. Lowery has authored 9 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in John J. Lowery's work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers) and Lipid Membrane Structure and Behavior (3 papers). John J. Lowery is often cited by papers focused on Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (6 papers) and Lipid Membrane Structure and Behavior (3 papers). John J. Lowery collaborates with scholars based in United States. John J. Lowery's co-authors include Edward J. Bilsky, Robin Polt, Wolfgang Sadée, Daqing Wang, Kirsten M. Raehal, Jean M. Bidlack, Denise Giuvelis, Tyler Raymond, Emil T. Lin and Brigitte L. Kieffer and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Life Sciences.

In The Last Decade

John J. Lowery

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John J. Lowery United States 8 268 249 91 25 19 9 356
Julia Temp Germany 6 163 0.6× 159 0.6× 113 1.2× 15 0.6× 30 1.6× 7 424
M. Scott Furness United States 11 223 0.8× 186 0.7× 145 1.6× 31 1.2× 20 1.1× 15 354
Harumi Hata Japan 12 164 0.6× 170 0.7× 48 0.5× 5 0.2× 22 1.2× 15 334
Herbert Barthlow United States 12 114 0.4× 183 0.7× 123 1.4× 46 1.8× 26 1.4× 15 402
Denise Giuvelis United States 11 258 1.0× 260 1.0× 126 1.4× 25 1.0× 28 1.5× 18 364
Judith M. Hills United Kingdom 8 89 0.3× 113 0.5× 51 0.6× 25 1.0× 11 0.6× 9 378
Stefano Molinari Italy 8 170 0.6× 157 0.6× 90 1.0× 9 0.4× 8 0.4× 12 249
G Linari Italy 9 299 1.1× 256 1.0× 99 1.1× 11 0.4× 49 2.6× 20 449
Maria Camilla Cerlesi Italy 11 271 1.0× 277 1.1× 111 1.2× 26 1.0× 6 0.3× 19 355
Talisia Quallo United Kingdom 6 102 0.4× 123 0.5× 119 1.3× 6 0.2× 13 0.7× 6 435

Countries citing papers authored by John J. Lowery

Since Specialization
Citations

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

Fields of papers citing papers by John J. Lowery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Lowery. 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 John J. Lowery. The network helps show where John J. Lowery may publish in the future.

Co-authorship network of co-authors of John J. Lowery

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Lowery. A scholar is included among the top collaborators of John J. Lowery 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 John J. Lowery. John J. Lowery is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Dhanasekaran, M., Denise Giuvelis, John J. Lowery, et al.. (2015). Structural Requirements for CNS Active Opioid Glycopeptides. Journal of Medicinal Chemistry. 58(15). 5728–5741. 13 indexed citations
2.
Yeomans, Larisa, M. Dhanasekaran, John J. Lowery, et al.. (2011). Phosphorylation of Enkephalins: NMR and CD Studies in Aqueous and Membrane‐Mimicking Environments. Chemical Biology & Drug Design. 78(5). 749–756. 4 indexed citations
3.
Lowery, John J., et al.. (2010). In vivo characterization of the opioid antagonist nalmefene in mice. Life Sciences. 86(15-16). 624–630. 19 indexed citations
4.
Lowery, John J., Tyler Raymond, Denise Giuvelis, et al.. (2010). In Vivo Characterization of MMP-2200, a Mixed δ/μ Opioid Agonist, in Mice. Journal of Pharmacology and Experimental Therapeutics. 336(3). 767–778. 66 indexed citations
5.
Lowery, John J., Larisa Yeomans, Peg Davis, et al.. (2007). Glycosylation Improves the Central Effects of DAMGO. Chemical Biology & Drug Design. 69(1). 41–47. 36 indexed citations
6.
Raehal, Kirsten M., John J. Lowery, Castigliano M. Bhamidipati, et al.. (2005). In Vivo Characterization of 6β-Naltrexol, an Opioid Ligand with Less Inverse Agonist Activity Compared with Naltrexone and Naloxone in Opioid-Dependent Mice. Journal of Pharmacology and Experimental Therapeutics. 313(3). 1150–1162. 73 indexed citations
7.
Egleton, Richard D., Edward J. Bilsky, Gordon Tollin, et al.. (2005). Biousian glycopeptides penetrate the blood–brain barrier. Tetrahedron Asymmetry. 16(1). 65–75. 29 indexed citations
8.
Egleton, Richard D., Michael M. Palian, John J. Lowery, et al.. (2004). Antinociceptive Structure-Activity Studies with Enkephalin-Based Opioid Glycopeptides. Journal of Pharmacology and Experimental Therapeutics. 311(1). 290–297. 46 indexed citations
9.
Wang, Daqing, Kirsten M. Raehal, Emil T. Lin, et al.. (2004). Basal Signaling Activity of μ Opioid Receptor in Mouse Brain: Role in Narcotic Dependence. Journal of Pharmacology and Experimental Therapeutics. 308(2). 512–520. 70 indexed citations

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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