John T. Lazzaro

914 total citations
15 papers, 435 citations indexed

About

John T. Lazzaro is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, John T. Lazzaro has authored 15 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 4 papers in Spectroscopy. Recurrent topics in John T. Lazzaro's work include Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). John T. Lazzaro is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). John T. Lazzaro collaborates with scholars based in United States, Italy and Spain. John T. Lazzaro's co-authors include Frank S. Menniti, Frank E. Ewing, Alan H. Ganong, W. M. WELCH, B. L. CHENARD, Martin J. Pagnozzi, Raymond S Hurst, Kristin N. Kelly, Keith M. DeVries and D.J. Critchett and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

John T. Lazzaro

15 papers receiving 420 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 T. Lazzaro United States 10 275 226 153 45 35 15 435
Jörg Pabel Germany 13 171 0.6× 161 0.7× 171 1.1× 43 1.0× 25 0.7× 27 397
Patrick Jimonet France 12 196 0.7× 145 0.6× 91 0.6× 46 1.0× 61 1.7× 26 369
Jeremy Findlay United Kingdom 11 157 0.6× 123 0.5× 114 0.7× 21 0.5× 43 1.2× 14 322
William D. Shipe United States 10 243 0.9× 158 0.7× 241 1.6× 14 0.3× 58 1.7× 13 497
Michael G. N. Russell United Kingdom 16 314 1.1× 208 0.9× 363 2.4× 27 0.6× 60 1.7× 23 663
Wayne D. Kornreich United States 8 273 1.0× 172 0.8× 159 1.0× 21 0.5× 39 1.1× 9 520
János Marton Hungary 14 208 0.8× 199 0.9× 117 0.8× 15 0.3× 47 1.3× 37 443
Stephen D. Hurt United States 10 351 1.3× 366 1.6× 65 0.4× 45 1.0× 23 0.7× 19 526
Ara M. Abramyan United States 15 334 1.2× 214 0.9× 71 0.5× 31 0.7× 40 1.1× 21 437
Christopher R. Moyes United States 7 200 0.7× 158 0.7× 248 1.6× 21 0.5× 37 1.1× 8 515

Countries citing papers authored by John T. Lazzaro

Since Specialization
Citations

This map shows the geographic impact of John T. Lazzaro'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 T. Lazzaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Lazzaro more than expected).

Fields of papers citing papers by John T. Lazzaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Lazzaro

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

All Works

15 of 15 papers shown
1.
Yang, Qingyi, Erik LaChapelle, Natasha M. Kablaoui, et al.. (2019). Discovery of Selective M4 Muscarinic Acetylcholine Receptor Agonists with Novel Carbamate Isosteres. ACS Medicinal Chemistry Letters. 10(6). 941–948. 9 indexed citations
2.
Brodney, Michael A., Raman Sharma, John T. Lazzaro, Gregory S. Walker, & R. Scott Obach. (2018). Harnessing biosynthesis and quantitative NMR for late stage functionalization of lead molecules: Application to the M1 positive allosteric modulator (PAM) program. Bioorganic & Medicinal Chemistry Letters. 28(11). 2068–2073. 9 indexed citations
3.
Thorn, Catherine A., John F. Harms, Jeremy R. Edgerton, et al.. (2018). Striatal, Hippocampal, and Cortical Networks Are Differentially Responsive to the M4- and M1-Muscarinic Acetylcholine Receptor Mediated Effects of Xanomeline. ACS Chemical Neuroscience. 10(3). 1753–1764. 27 indexed citations
4.
Smith, Deborah L., Jennifer E. Davoren, Jeremy R. Edgerton, et al.. (2016). Characterization of a Novel M1 Muscarinic Acetylcholine Receptor Positive Allosteric Modulator Radioligand, [3H]PT-1284. Molecular Pharmacology. 90(3). 177–187. 4 indexed citations
5.
Patel, Nandini C., Jacob B. Schwarz, Xinjun Hou, et al.. (2013). Discovery and Characterization of a Novel Dihydroisoxazole Class of α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) Receptor Potentiators. Journal of Medicinal Chemistry. 56(22). 9180–9191. 18 indexed citations
6.
Shaffer, Christopher L., Raymond S Hurst, Renato J. Scialis, et al.. (2013). Positive Allosteric Modulation of AMPA Receptors from Efficacy to Toxicity: The Interspecies Exposure-Response Continuum of the Novel Potentiator PF-4778574. Journal of Pharmacology and Experimental Therapeutics. 347(1). 212–224. 44 indexed citations
7.
McNeish, John, Marsha L. Roach, John Hambor, et al.. (2010). High-throughput Screening in Embryonic Stem Cell-derived Neurons Identifies Potentiators of α-Amino-3-hydroxyl-5-methyl-4-isoxazolepropionate-type Glutamate Receptors. Journal of Biological Chemistry. 285(22). 17209–17217. 52 indexed citations
8.
Duplantier, Allen J., Ivan Efremov, Angela C. Doran, et al.. (2009). 3-Benzyl-1,3-oxazolidin-2-ones as mGluR2 positive allosteric modulators: Hit-to lead and lead optimization. Bioorganic & Medicinal Chemistry Letters. 19(9). 2524–2529. 21 indexed citations
9.
Conti, Paola, Andrea Pinto, Lucia Tamborini, et al.. (2008). Synthesis of Novel Pyrrolo[3,4‐d]pyrazole‐dicarboxylic Acids and Evaluation of Their Interaction with Glutamate Receptors. Chemistry & Biodiversity. 5(4). 657–663. 6 indexed citations
10.
Zhang, Lei, Bruce N. Rogers, Allen J. Duplantier, et al.. (2008). 3-(Imidazolyl methyl)-3-aza-bicyclo[3.1.0]hexan-6-yl)methyl ethers: A novel series of mGluR2 positive allosteric modulators. Bioorganic & Medicinal Chemistry Letters. 18(20). 5493–5496. 13 indexed citations
11.
12.
Lazzaro, John T., Ana V. Paternain, Juan Lerma, et al.. (2002). Functional characterization of CP-465,022, a selective, noncompetitive AMPA receptor antagonist. Neuropharmacology. 42(2). 143–153. 56 indexed citations
13.
WELCH, W. M., Frank E. Ewing, Frank S. Menniti, et al.. (2001). Atropisomeric quinazolin-4-one derivatives are potent noncompetitive α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 11(2). 177–181. 107 indexed citations
14.
Menniti, Frank S., Bertrand L. Chenard, Mary B. Collins, et al.. (2000). Characterization of the Binding Site for a Novel Class of Noncompetitive α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid Receptor Antagonists. Molecular Pharmacology. 58(6). 1310–1317. 44 indexed citations
15.
Menniti, Frank S., Bertrand L. Chenard, Mary B. Collins, et al.. (2000). Characterization of the Binding Site for a Novel Class of Noncompetitive α-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic Acid Receptor Antagonists. Molecular Pharmacology. 58(6). 1310–1317. 5 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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