Alexander Friedman

1.5k total citations
29 papers, 1.0k citations indexed

About

Alexander Friedman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Alexander Friedman has authored 29 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 13 papers in Cognitive Neuroscience and 9 papers in Molecular Biology. Recurrent topics in Alexander Friedman's work include Neurotransmitter Receptor Influence on Behavior (13 papers), Neural dynamics and brain function (12 papers) and Neurological disorders and treatments (9 papers). Alexander Friedman is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (13 papers), Neural dynamics and brain function (12 papers) and Neurological disorders and treatments (9 papers). Alexander Friedman collaborates with scholars based in Israel, United States and Japan. Alexander Friedman's co-authors include Gal Yadid, Elad Lax, Ann M. Graybiel, Leif Gibb, Lital Abraham, Ken‐ichi Amemori, Daigo Homma, Yakov Flaumenhaft, Yahav Dikshtein and Samuel J. Rubin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Alexander Friedman

29 papers receiving 1.0k citations

Peers

Alexander Friedman
Meaghan C. Creed United States
S. N. Haber United States
Elena M. Vazey United States
Wendy L. Inglis United Kingdom
Meaghan C. Creed United States
Alexander Friedman
Citations per year, relative to Alexander Friedman Alexander Friedman (= 1×) peers Meaghan C. Creed

Countries citing papers authored by Alexander Friedman

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Friedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Friedman. 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 Alexander Friedman. The network helps show where Alexander Friedman may publish in the future.

Co-authorship network of co-authors of Alexander Friedman

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

All Works

20 of 20 papers shown
1.
Friedman, Alexander, et al.. (2025). A2A-Positive Neurons in the Nucleus Accumbens Core Regulate Effort Exertion. Journal of Neuroscience. 45(16). e1749242025–e1749242025. 2 indexed citations
2.
Friedman, Alexander & Henry H. Yin. (2023). Selective Activation of Subthalamic Nucleus Output Quantitatively Scales Movements. Journal of Neuroscience. 43(47). 7967–7981. 4 indexed citations
3.
Severino, Francesco Paolo Ulloa, Kristina Sakers, Shiyi Wang, et al.. (2023). Training-induced circuit-specific excitatory synaptogenesis in mice is required for effort control. Nature Communications. 14(1). 5522–5522. 6 indexed citations
4.
Ferber, Sari Goldstein, Aron Weller, Gal Yadid, & Alexander Friedman. (2021). Discovering the Lost Reward: Critical Locations for Endocannabinoid Modulation of the Cortico–Striatal Loop That Are Implicated in Major Depression. International Journal of Molecular Sciences. 22(4). 1867–1867. 7 indexed citations
5.
Hughes, Ryan N., Konstantin I. Bakhurin, Elijah A. Petter, et al.. (2020). Ventral Tegmental Dopamine Neurons Control the Impulse Vector during Motivated Behavior. Current Biology. 30(14). 2681–2694.e5. 68 indexed citations
6.
Schechter, Meir, Jéssica Grigoletto, Hava Glickstein, et al.. (2020). A role for α-Synuclein in axon growth and its implications in corticostriatal glutamatergic plasticity in Parkinson’s disease. Molecular Neurodegeneration. 15(1). 24–24. 20 indexed citations
7.
Friedman, Alexander, et al.. (2020). Activation of Subthalamic Nucleus Stop Circuit Disrupts Cognitive Performance. eNeuro. 7(5). ENEURO.0159–20.2020. 13 indexed citations
8.
Friedman, Alexander, Daigo Homma, Bernard Bloem, et al.. (2017). Chronic Stress Alters Striosome-Circuit Dynamics, Leading to Aberrant Decision-Making. Cell. 171(5). 1191–1205.e28. 106 indexed citations
9.
Lax, Elad, Alexander Friedman, Renaud Massart, et al.. (2016). PARP-1 is required for retrieval of cocaine-associated memory by binding to the promoter of a novel gene encoding a putative transposase inhibitor. Molecular Psychiatry. 22(4). 570–579. 5 indexed citations
10.
Gazit, Tomer, Alexander Friedman, Elad Lax, et al.. (2014). Programmed deep brain stimulation synchronizes VTA gamma band field potential and alleviates depressive-like behavior in rats. Neuropharmacology. 91. 135–141. 35 indexed citations
11.
Dikshtein, Yahav, Royi Barnea, Noam Kronfeld, et al.. (2013). β-Endorphin via the Delta Opioid Receptor is a Major Factor in the Incubation of Cocaine Craving. Neuropsychopharmacology. 38(12). 2508–2514. 30 indexed citations
12.
Lax, Elad, Alexander Friedman, Einav Sudai, et al.. (2013). Neurodegeneration of lateral habenula efferent fibers after intermittent cocaine administration: Implications for deep brain stimulation. Neuropharmacology. 75. 246–254. 33 indexed citations
13.
Friedman, Alexander, Elad Lax, Lital Abraham, Hadass Tischler, & Gal Yadid. (2011). Abnormality of VTA local field potential in an animal model of depression was restored by patterned DBS treatment. European Neuropsychopharmacology. 22(1). 64–71. 24 indexed citations
14.
Friedman, Alexander, Elad Lax, Yahav Dikshtein, et al.. (2010). Electrical stimulation of the lateral habenula produces enduring inhibitory effect on cocaine seeking behavior. Neuropharmacology. 59(6). 452–459. 111 indexed citations
15.
Tischler, Hadass, Alexander Friedman, Michal Lavidor, et al.. (2010). Mini-coil for magnetic stimulation in the behaving primate. Journal of Neuroscience Methods. 194(2). 242–251. 26 indexed citations
16.
Friedman, Alexander, Elad Lax, Yahav Dikshtein, et al.. (2010). Electrical stimulation of the lateral habenula produces an inhibitory effect on sucrose self-administration. Neuropharmacology. 60(2-3). 381–387. 83 indexed citations
17.
Friedman, Alexander, et al.. (2009). Early Prediction of the Effectiveness of Antidepressants: Inputs from an Animal Model. Journal of Molecular Neuroscience. 39(1-2). 256–261. 3 indexed citations
18.
Roth‐Deri, I., Alexander Friedman, Lital Abraham, et al.. (2009). Antidepressant treatment facilitates dopamine release and drug seeking behavior in a genetic animal model of depression. European Journal of Neuroscience. 30(3). 485–492. 20 indexed citations
19.
Friedman, Alexander, Michael Frankel, Yakov Flaumenhaft, et al.. (2008). Programmed Acute Electrical Stimulation of Ventral Tegmental Area Alleviates Depressive-Like Behavior. Neuropsychopharmacology. 34(4). 1057–1066. 66 indexed citations
20.
Friedman, Alexander, Eliyahu Dremencov, Dino J. Levy, et al.. (2005). Variability of the mesolimbic neuronal activity in a rat model of depression. Neuroreport. 16(5). 513–516. 20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026