David M. Lovinger

26.9k total citations · 4 hit papers
260 papers, 20.4k citations indexed

About

David M. Lovinger is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, David M. Lovinger has authored 260 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 227 papers in Cellular and Molecular Neuroscience, 123 papers in Molecular Biology and 61 papers in Cognitive Neuroscience. Recurrent topics in David M. Lovinger's work include Neuroscience and Neuropharmacology Research (185 papers), Neurotransmitter Receptor Influence on Behavior (104 papers) and Receptor Mechanisms and Signaling (59 papers). David M. Lovinger is often cited by papers focused on Neuroscience and Neuropharmacology Research (185 papers), Neurotransmitter Receptor Influence on Behavior (104 papers) and Receptor Mechanisms and Signaling (59 papers). David M. Lovinger collaborates with scholars based in United States, South Korea and United Kingdom. David M. Lovinger's co-authors include Gregory L. Gerdeman, Forrest F. Weight, Geoffrey White, Jennifer Ronesi, Aryeh Routtenberg, Sukwoo Choi, Henry H. Yin, Brian A. McCool, Rui M. Costa and Louise Adermark and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. Lovinger

259 papers receiving 20.0k 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.

Ethanol Inhibits NMDA-Activated Ion Current in Hippocampal Neurons

1989 1.2k citations David M. Lovinger et al. profile →
Concurrent activation of striatal direct and indirect pathways during action initiation

2013 851 citations David M. Lovinger et al. Nature profile →
Dynamic reorganization of striatal circuits during the acquisition and consolidation of a skill

2009 570 citations Margaret I. Davis, David M. Lovinger et al. profile →
Postsynaptic endocannabinoid release is critical to long-term depression in the striatum

2002 567 citations David M. Lovinger et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Lovinger United States	77	15.5k	7.7k	5.6k	3.5k	2.1k	260	20.4k
Bruno Giros France	71	14.1k 0.9×	10.7k 1.4×	3.7k 0.7×	1.0k 0.3×	1.8k 0.9×	212	22.0k
Raul R. Gainetdinov Russia	79	17.8k 1.2×	15.1k 2.0×	3.4k 0.6×	1.3k 0.4×	2.6k 1.3×	333	28.2k
Carol A. Tamminga United States	83	7.8k 0.5×	5.6k 0.7×	7.4k 1.3×	1.9k 0.6×	1.4k 0.7×	503	23.2k
Antonello Bonci United States	83	15.3k 1.0×	8.3k 1.1×	8.1k 1.4×	1.3k 0.4×	1.0k 0.5×	187	22.1k
Jacques Glowinski France	73	12.9k 0.8×	7.9k 1.0×	2.9k 0.5×	1.6k 0.5×	2.1k 1.0×	190	19.4k
Miles Herkenham United States	77	13.4k 0.9×	5.0k 0.7×	4.3k 0.8×	6.9k 2.0×	2.1k 1.0×	143	22.4k
Rainer Spanagel Germany	74	12.1k 0.8×	5.9k 0.8×	3.9k 0.7×	1.9k 0.6×	888 0.4×	340	19.8k
Nicola Biagio Mercuri Italy	69	10.5k 0.7×	6.3k 0.8×	4.2k 0.7×	1.4k 0.4×	4.9k 2.3×	566	19.5k
Raymond T. Bartus United States	64	7.8k 0.5×	6.6k 0.8×	4.8k 0.9×	4.1k 1.2×	2.5k 1.2×	186	18.6k
Husseini K. Manji United States	88	9.9k 0.6×	5.5k 0.7×	4.1k 0.7×	9.6k 2.8×	879 0.4×	222	27.7k

Countries citing papers authored by David M. Lovinger

Since Specialization

Citations

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

Fields of papers citing papers by David M. Lovinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Lovinger. 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 David M. Lovinger. The network helps show where David M. Lovinger may publish in the future.

Co-authorship network of co-authors of David M. Lovinger

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Lovinger. A scholar is included among the top collaborators of David M. Lovinger 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 David M. Lovinger. David M. Lovinger 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

Mackowiak, Bryan, David L. Haggerty, Yaojie Fu, et al.. (2025). Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice. Alcohol Clinical and Experimental Research. 49(5). 970–984. 1 indexed citations

Cui, Erjia, et al.. (2024). A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments. eLife. 13. 1 indexed citations

King, Michael, Robert J. Pawlosky, Margaret I. Davis, et al.. (2024). Ketone ester–enriched diet ameliorates motor and dopamine release deficits in MitoPark mice. European Journal of Neuroscience. 60(11). 6875–6890. 2 indexed citations

Salinas, Armando G., Jeong Oen Lee, Shana M. Augustin, et al.. (2023). Distinct sub-second dopamine signaling in dorsolateral striatum measured by a genetically-encoded fluorescent sensor. Nature Communications. 14(1). 5915–5915. 20 indexed citations

Salinas, Armando G., Yolanda Mateo, Thanh Huynh, et al.. (2022). Chronic Ethanol Consumption Alters Presynaptic Regulation of Dorsal Striatal Dopamine Release in C57BL/6J Mice. International Journal of Molecular Sciences. 23(19). 10994–10994. 5 indexed citations

Elezgarai, Izaskun, Christina M. Gremel, Nigel S. Bamford, et al.. (2021). Control of exploration, motor coordination and amphetamine sensitization by cannabinoid CB ₁ receptors expressed in medium spiny neurons. European Journal of Neuroscience. 54(3). 4934–4952. 8 indexed citations

Salinas, Armando G., Yolanda Mateo, Verginia C. Cuzon Carlson, et al.. (2021). Long-term alcohol consumption alters dorsal striatal dopamine release and regulation by D2 dopamine receptors in rhesus macaques. Neuropsychopharmacology. 46(8). 1432–1441. 32 indexed citations

Muñoz, Braulio, et al.. (2019). Influence of nonsynaptic α1 glycine receptors on ethanol consumption and place preference. Addiction Biology. 25(2). e12726–e12726. 16 indexed citations

Gremel, Christina M. & David M. Lovinger. (2016). Associative and sensorimotor cortico‐basal ganglia circuit roles in effects of abused drugs. Genes Brain & Behavior. 16(1). 71–85. 57 indexed citations

10.

Zhou, Zhifeng, Camilla Karlsson, Tiebing Liang, et al.. (2013). Loss of metabotropic glutamate receptor 2 escalates alcohol consumption. Proceedings of the National Academy of Sciences. 110(42). 16963–16968. 84 indexed citations

11.

Cachope, Roger, Yolanda Mateo, Brian N. Mathur, et al.. (2012). Selective Activation of Cholinergic Interneurons Enhances Accumbal Phasic Dopamine Release: Setting the Tone for Reward Processing. Cell Reports. 2(1). 33–41. 377 indexed citations

12.

Borghese, Cecilia M., Wei Xiong, S. John Mihic, et al.. (2012). Mutations M287L and Q266I in the Glycine Receptor α1 Subunit Change Sensitivity to Volatile Anesthetics in Oocytes and Neurons, but Not the Minimal Alveolar Concentration in Knockin Mice. Anesthesiology. 117(4). 765–771. 6 indexed citations

13.

Klug, Jason R., Brian N. Mathur, Thomas L. Kash, et al.. (2012). Genetic Inhibition of CaMKII in Dorsal Striatal Medium Spiny Neurons Reduces Functional Excitatory Synapses and Enhances Intrinsic Excitability. PLoS ONE. 7(9). e45323–e45323. 39 indexed citations

14.

Mathur, Brian N. & David M. Lovinger. (2011). Serotonergic action on dorsal striatal function. Parkinsonism & Related Disorders. 18. S129–S131. 26 indexed citations

15.

Weitlauf, Carl, Yumiko Honse, Yves P. Auberson, et al.. (2005). Activation of NR2A-Containing NMDA Receptors Is Not Obligatory for NMDA Receptor-Dependent Long-Term Potentiation. Journal of Neuroscience. 25(37). 8386–8390. 137 indexed citations

16.

Ikeda, Stephen R., David M. Lovinger, Brian A. McCool, & Deborah L. Lewis. (1995). Heterologous expression of metabotropic glutamate receptors in adult rat sympathetic neurons: Subtype-specific coupling to ion channels. Neuron. 14(5). 1029–1038. 114 indexed citations

17.

Merritt, Andrew, et al.. (1993). Protein kinase C modulates glutamate receptor inhibition of Ca2+ channels and synaptic transmission. Nature. 361(6408). 165–168. 187 indexed citations

18.

Lovinger, David M., et al.. (1993). Trichloroethanol potentiates synaptic transmission mediated by gamma-aminobutyric acidA receptors in hippocampal neurons.. Journal of Pharmacology and Experimental Therapeutics. 264(3). 1097–1103. 58 indexed citations

19.

Lovinger, David M., et al.. (1990). Ethanol (EtOH) inhibition of NMDA-activated ion current is not voltage-dependent and EtOH does not interact with other binding sites on the NMDA receptor/ionophore complex. 4 indexed citations

20.

Lovinger, David M. & Aryeh Routtenberg. (1987). Protein F1 and Protein Kinase C May Regulate the Persistence, Not the Initiation, of Synaptic Potentiation in the Hippocampus. Advances in experimental medicine and biology. 221. 313–330. 1 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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