Natali E. Nemirovsky

541 total citations
10 papers, 368 citations indexed

About

Natali E. Nemirovsky is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Toxicology. According to data from OpenAlex, Natali E. Nemirovsky has authored 10 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 3 papers in Toxicology. Recurrent topics in Natali E. Nemirovsky's work include Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Forensic Toxicology and Drug Analysis (3 papers). Natali E. Nemirovsky is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (9 papers), Neuroscience and Neuropharmacology Research (7 papers) and Forensic Toxicology and Drug Analysis (3 papers). Natali E. Nemirovsky collaborates with scholars based in United States. Natali E. Nemirovsky's co-authors include M. Foster Olive, Peter R. Kufahl, Lucas R. Watterson, Megan Grabenauer, Julie A. Marusich, Brian F. Thomas, Scott A. Wegner, Amber LaCrosse, Lauren E. Hood and Sara B. Taylor and has published in prestigious journals such as Molecular Pharmacology, Psychopharmacology and Neuropharmacology.

In The Last Decade

Natali E. Nemirovsky

10 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natali E. Nemirovsky United States 8 292 153 136 108 52 10 368
Bjørnar den Hollander Finland 8 227 0.8× 163 1.1× 96 0.7× 94 0.9× 35 0.7× 10 361
Mrudang M. Shah United States 10 256 0.9× 141 0.9× 96 0.7× 111 1.0× 33 0.6× 11 412
Amanda J. Hoonakker United States 10 332 1.1× 200 1.3× 158 1.2× 122 1.1× 28 0.5× 17 426
Aiko Ikegami United States 11 311 1.1× 91 0.6× 166 1.2× 79 0.7× 93 1.8× 11 434
Beatriz Goñi‐Allo Spain 12 217 0.7× 116 0.8× 104 0.8× 83 0.8× 16 0.3× 14 309
Matthew F. Lazenka United States 12 242 0.8× 61 0.4× 108 0.8× 56 0.5× 37 0.7× 18 337
Jerry M Kokoshka United States 8 323 1.1× 105 0.7× 142 1.0× 35 0.3× 42 0.8× 8 412
Joyce Colussi‐Mas New Zealand 12 304 1.0× 115 0.8× 103 0.8× 113 1.0× 51 1.0× 14 359
Guy K. Bryan United States 6 282 1.0× 166 1.1× 98 0.7× 139 1.3× 42 0.8× 6 463
Giulia Margiani Italy 6 198 0.7× 133 0.9× 40 0.3× 65 0.6× 67 1.3× 7 325

Countries citing papers authored by Natali E. Nemirovsky

Since Specialization
Citations

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

Fields of papers citing papers by Natali E. Nemirovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natali E. Nemirovsky. 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 Natali E. Nemirovsky. The network helps show where Natali E. Nemirovsky may publish in the future.

Co-authorship network of co-authors of Natali E. Nemirovsky

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

All Works

10 of 10 papers shown
1.
Watterson, Lucas R., Peter R. Kufahl, Sara B. Taylor, Natali E. Nemirovsky, & M. Foster Olive. (2016). Sensitization to the Motor Stimulant Effects of 3,4-Methylenedioxypyrovalerone (MDPV) and Cross-Sensitization to Methamphetamine in Rats. PubMed. 5. 1–10. 19 indexed citations
2.
Taylor, Sara B., Lucas R. Watterson, Peter R. Kufahl, et al.. (2016). Chronic variable stress and intravenous methamphetamine self-administration – Role of individual differences in behavioral and physiological reactivity to novelty. Neuropharmacology. 108. 353–363. 6 indexed citations
3.
LaCrosse, Amber, Sara B. Taylor, Natali E. Nemirovsky, Justin T. Gass, & M. Foster Olive. (2015). mGluR5 Positive and Negative Allosteric Modulators Differentially Affect Dendritic Spine Density and Morphology in the Prefrontal Cortex. CNS & Neurological Disorders - Drug Targets. 14(4). 476–485. 13 indexed citations
4.
Kiraly, Drew D., Natali E. Nemirovsky, Stephanie L. Yahn, et al.. (2013). Constitutive Knockout of Kalirin-7 Leads to Increased Rates of Cocaine Self-Administration. Molecular Pharmacology. 84(4). 582–590. 14 indexed citations
5.
LaCrosse, Amber, et al.. (2013). NMDA Receptor Modulators in the Treatment of Drug Addiction. Pharmaceuticals. 6(2). 251–268. 55 indexed citations
6.
7.
Kufahl, Peter R., et al.. (2012). Positive Allosteric Modulation of mGluR5 Accelerates Extinction Learning but Not Relearning Following Methamphetamine Self-Administration. Frontiers in Pharmacology. 3. 194–194. 24 indexed citations
8.
9.
Watterson, Lucas R., Peter R. Kufahl, Natali E. Nemirovsky, et al.. (2012). Potent rewarding and reinforcing effects of the synthetic cathinone 3,4‐methylenedioxypyrovalerone (MDPV). Addiction Biology. 19(2). 165–174. 157 indexed citations
10.
Nemirovsky, Natali E. & M. Foster Olive. (2012). Medications for the treatment of cocaine addiction: Focus on glutamatergic compounds. 115–130. 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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2026