John S. Partilla

6.8k total citations · 1 hit paper
135 papers, 5.5k citations indexed

About

John S. Partilla is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Toxicology. According to data from OpenAlex, John S. Partilla has authored 135 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Cellular and Molecular Neuroscience, 76 papers in Molecular Biology and 39 papers in Toxicology. Recurrent topics in John S. Partilla's work include Neurotransmitter Receptor Influence on Behavior (71 papers), Receptor Mechanisms and Signaling (54 papers) and Forensic Toxicology and Drug Analysis (39 papers). John S. Partilla is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (71 papers), Receptor Mechanisms and Signaling (54 papers) and Forensic Toxicology and Drug Analysis (39 papers). John S. Partilla collaborates with scholars based in United States, United Kingdom and Austria. John S. Partilla's co-authors include Michael H. Baumann, Richard B. Rothman, Kenner C. Rice, Christina M. Dersch, Bruce E. Blough, F. Ivy Carroll, Elizabeth M. Dax, Kurt Lehner, Simon D. Brandt and Robert I. Gregerman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

John S. Partilla

133 papers receiving 5.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Amphetamine-type central nervous system stimulants release norepinephrine more potently than they release dopamine and serotonin

2000 744 citations Richard B. Rothman, Michael H. Baumann et al. Synapse profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John S. Partilla United States	39	3.7k	2.3k	2.0k	1.7k	715	135	5.5k
Marius C. Hoener Switzerland	45	4.1k 1.1×	1.5k 0.7×	3.0k 1.5×	1.8k 1.1×	613 0.9×	94	6.7k
Bruce E. Blough United States	38	2.8k 0.7×	1.5k 0.7×	1.7k 0.9×	1.1k 0.7×	684 1.0×	176	4.8k
William E. Fantegrossi United States	39	2.4k 0.7×	2.1k 0.9×	637 0.3×	1.5k 0.9×	1.6k 2.3×	109	3.9k
James W. Gibb United States	47	5.9k 1.6×	1.7k 0.7×	2.8k 1.4×	936 0.6×	978 1.4×	150	7.2k
George A. Ricaurte United States	47	6.1k 1.7×	3.7k 1.6×	1.3k 0.7×	2.6k 1.6×	2.2k 3.0×	119	8.7k
Glen R. Hanson United States	53	7.8k 2.1×	2.0k 0.9×	4.0k 2.0×	1.2k 0.7×	1.2k 1.7×	249	10.0k
Annette E. Fleckenstein United States	43	4.2k 1.1×	1.1k 0.5×	2.0k 1.0×	632 0.4×	685 1.0×	116	5.7k
Aaron Janowsky United States	43	3.5k 1.0×	521 0.2×	2.6k 1.3×	473 0.3×	649 0.9×	129	5.5k
Matteo Marti Italy	36	2.8k 0.8×	914 0.4×	1.5k 0.8×	390 0.2×	686 1.0×	146	3.8k
S. Stevens Negus United States	45	4.7k 1.3×	780 0.3×	2.3k 1.2×	648 0.4×	842 1.2×	163	5.8k

Countries citing papers authored by John S. Partilla

Since Specialization

Citations

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

Fields of papers citing papers by John S. Partilla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John S. Partilla

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

All Works

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20 of 20 papers shown

Glatfelter, Grant C., Eline Pottie, John S. Partilla, Christophe P. Stove, & Michael H. Baumann. (2024). Comparative Pharmacological Effects of Lisuride and Lysergic Acid Diethylamide Revisited. ACS Pharmacology & Translational Science. 7(3). 641–653. 17 indexed citations

Glatfelter, Grant C., Eline Pottie, John S. Partilla, et al.. (2022). Structure–Activity Relationships for Psilocybin, Baeocystin, Aeruginascin, and Related Analogues to Produce Pharmacological Effects in Mice. ACS Pharmacology & Translational Science. 5(11). 1181–1196. 56 indexed citations

Brandt, Simon D., et al.. (2020). The psychoactive aminoalkylbenzofuran derivatives, 5-APB and 6-APB, mimic the effects of 3,4-methylenedioxyamphetamine (MDA) on monoamine transmission in male rats. Psychopharmacology. 237(12). 3703–3714. 10 indexed citations

Decker, Ann M., Agnieszka Sulima, Kenner C. Rice, et al.. (2018). Comparative neuropharmacology of N-(2-methoxybenzyl)-2,5-dimethoxyphenethylamine (NBOMe) hallucinogens and their 2C counterparts in male rats. Neuropharmacology. 142. 240–250. 44 indexed citations

Kohut, Stephen J., David S. Jacobs, Richard B. Rothman, et al.. (2017). Cocaine-like discriminative stimulus effects of “norepinephrine-preferring” monoamine releasers: time course and interaction studies in rhesus monkeys. Psychopharmacology. 234(23-24). 3455–3465. 8 indexed citations

Reith, Maarten E. A., Bruce E. Blough, Weimin Hong, et al.. (2014). Behavioral, biological, and chemical perspectives on atypical agents targeting the dopamine transporter. Drug and Alcohol Dependence. 147. 1–19. 108 indexed citations

Blough, Bruce E., Antonio Landavazo, John S. Partilla, et al.. (2014). Alpha-ethyltryptamines as dual dopamine–serotonin releasers. Bioorganic & Medicinal Chemistry Letters. 24(19). 4754–4758. 29 indexed citations

Banks, Matthew L., Bruce E. Blough, Richard B. Rothman, et al.. (2014). Abuse-related effects of dual dopamine/serotonin releasers with varying potency to release norepinephrine in male rats and rhesus monkeys.. Experimental and Clinical Psychopharmacology. 22(3). 274–284. 16 indexed citations

Rothman, Richard B., Michael H. Baumann, Bruce E. Blough, et al.. (2010). Evidence for noncompetitive modulation of substrate‐induced serotonin release. Synapse. 64(11). 862–869. 15 indexed citations

10.

Rothman, Richard B., Christina M. Dersch, Subramaniam Ananthan, & John S. Partilla. (2009). Studies of the Biogenic Amine Transporters. 13. Identification of “Agonist” and “Antagonist” Allosteric Modulators of Amphetamine-Induced Dopamine Release. Journal of Pharmacology and Experimental Therapeutics. 329(2). 718–728. 25 indexed citations

11.

Xu, Heng, John S. Partilla, Xiaoying Wang, et al.. (2006). A comparison of noninternalizing (herkinorin) and internalizing (DAMGO) μ‐opioid agonists on cellular markers related to opioid tolerance and dependence. Synapse. 61(3). 166–175. 45 indexed citations

12.

Rothman, Richard B., John S. Partilla, Michael H. Baumann, et al.. (2000). Neurochemical neutralization of methamphetamine with high-affinity nonselective inhibitors of biogenic amine transporters: a pharmacological strategy for treating stimulant abuse. Synapse. 35(3). 222–227. 71 indexed citations

13.

Rothman, Richard B., John S. Partilla, Christina M. Dersch, et al.. (2000). Methamphetamine Dependence: Medication Development Efforts Based on the Dual Deficit Model of Stimulant Addiction. Annals of the New York Academy of Sciences. 914(1). 71–81. 16 indexed citations

14.

Brady, Linda S., et al.. (1999). Region-specific up-regulation of opioid receptor binding in enkephalin knockout mice. Molecular Brain Research. 68(1-2). 193–197. 41 indexed citations

15.

Xu, Heng, Yifeng Lu, John S. Partilla, et al.. (1999). Opioid peptide receptor studies, 11: Involvement of Tyr148, Trp318 and His319 of the rat ?-opioid receptor in binding of ?-selective ligands. Synapse. 32(1). 23–28. 41 indexed citations

16.

Heyliger, Simone O., et al.. (1998). Regulation of μ binding sites after chronic administration of antibodies directed against specific anti-opiate peptides. Peptides. 19(10). 1703–1709. 19 indexed citations

17.

Xu, Heng, John S. Partilla, Dorota Matecka, et al.. (1998). Opioid Peptide Receptor Studies. 8. One of the Mouse Brain δNCX Binding Sites is Similar to the Cloned Mouse Opioid δ Receptor: Further Evidence for Heterogeneity of δ Opioid Receptors. Peptides. 19(2). 343–350. 6 indexed citations

18.

Rothman, Richard B., Heng Xu, John S. Partilla, et al.. (1995). Ligand selectivity of cloned human and rat opioid mu receptors. Synapse. 21(1). 60–64. 22 indexed citations

19.

Dersch, Christina M., Hyacinth C. Akunne, John S. Partilla, et al.. (1994). Studies of the biogenic amine transporters. 1. Dopamine reuptake blockers inhibit [3H]mazindol binding to the dopamine transporter by a competitive mechanism: Preliminary evidence for different binding domains. Neurochemical Research. 19(2). 201–208. 30 indexed citations

20.

Ni, Qing Zhe, Heng Xu, John S. Partilla, et al.. (1993). Selective labeling of κ2 opioid receptors in rat brain by [125I]IOXY: Interaction of opioid peptides and other drugs with multiple κ2a binding sites. Peptides. 14(6). 1279–1293. 25 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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