Amir Levine

1.9k total citations
36 papers, 1.4k citations indexed

About

Amir Levine is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Amir Levine has authored 36 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Amir Levine's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Amir Levine is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers). Amir Levine collaborates with scholars based in United States, Israel and Canada. Amir Levine's co-authors include Eric R. Kandel, Jeffrey R. Strawn, Shiqin Xu, Yan-You Huang, Moira A. Rynn, Jeffrey A. Lieberman, Denise B. Kandel, Ángel Barco, Zhonghui Guan and James H. Schwartz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Amir Levine

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amir Levine United States 16 583 369 238 162 156 36 1.4k
Ghanshyam N. Pandey United States 31 718 1.2× 646 1.8× 219 0.9× 305 1.9× 106 0.7× 53 2.7k
Adem Can United States 17 384 0.7× 404 1.1× 281 1.2× 115 0.7× 53 0.3× 41 1.8k
Xinguo Ren United States 27 563 1.0× 527 1.4× 176 0.7× 316 2.0× 58 0.4× 43 2.1k
Pei‐Hong Shen United States 24 451 0.8× 526 1.4× 152 0.6× 198 1.2× 96 0.6× 47 1.8k
Silvia Alboni Italy 26 471 0.8× 428 1.2× 183 0.8× 107 0.7× 85 0.5× 57 2.3k
Gonzalo A. Carrasco United States 21 390 0.7× 570 1.5× 236 1.0× 119 0.7× 137 0.9× 58 1.9k
Jennifer B. Dwyer United States 16 417 0.7× 230 0.6× 194 0.8× 188 1.2× 167 1.1× 26 1.5k
Hannah M. Cates United States 18 435 0.7× 419 1.1× 72 0.3× 100 0.6× 123 0.8× 25 1.3k
Orna Issler United States 19 800 1.4× 207 0.6× 91 0.4× 155 1.0× 190 1.2× 25 1.8k
Pierre-Éric Lutz Canada 22 759 1.3× 877 2.4× 271 1.1× 314 1.9× 175 1.1× 47 2.0k

Countries citing papers authored by Amir Levine

Since Specialization
Citations

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

Fields of papers citing papers by Amir Levine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amir Levine

This figure shows the co-authorship network connecting the top 25 collaborators of Amir Levine. A scholar is included among the top collaborators of Amir Levine 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 Amir Levine. Amir Levine 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.
Mills, Jeffrey A., et al.. (2023). Gastrointestinal Symptoms in Pediatric Patients with Anxiety Disorders and Their Relationship to Selective Serotonin Reuptake Inhibitor Treatment or Placebo. Child Psychiatry & Human Development. 56(3). 728–739. 5 indexed citations
2.
Strawn, Jeffrey R., et al.. (2022). Pediatric anxiety and daily fine particulate matter: A longitudinal study. SHILAP Revista de lepidopterología. 2(4). 100077–100077. 2 indexed citations
3.
Levine, Amir, et al.. (2022). Neuropeptide signaling and SKN-1 orchestrate differential responses of the proteostasis network to dissimilar proteotoxic insults. Cell Reports. 38(6). 110350–110350. 14 indexed citations
4.
Levine, Amir, et al.. (2021). Temporal requirements of SKN-1/NRF as a regulator of lifespan and proteostasis in Caenorhabditis elegans. PLoS ONE. 16(7). e0243522–e0243522. 13 indexed citations
5.
Lu, Lu, Hailong Li, Jeffrey A. Mills, et al.. (2020). Greater Dynamic and Lower Static Functional Brain Connectivity Prospectively Predict Placebo Response in Pediatric Generalized Anxiety Disorder. Journal of Child and Adolescent Psychopharmacology. 30(10). 606–616. 4 indexed citations
6.
Strawn, Jeffrey R. & Amir Levine. (2020). Treatment response biomarkers in anxiety disorders: From neuroimaging to neuronally-derived extracellular vesicles and beyond. SHILAP Revista de lepidopterología. 3. 100024–100024. 22 indexed citations
7.
Kandel, Denise B., et al.. (2020). Social isolation is closely linked to a marked reduction in physical activity in male mice. Journal of Neuroscience Research. 99(4). 1099–1107. 4 indexed citations
8.
Levine, Amir, et al.. (2019). Gene expression modulation by the linker of nucleoskeleton and cytoskeleton complex contributes to proteostasis. Aging Cell. 18(6). e13047–e13047. 10 indexed citations
9.
Mor, Yael, et al.. (2018). WorMachine: machine learning-based phenotypic analysis tool for worms. BMC Biology. 16(1). 8–8. 30 indexed citations
10.
Savion, Naphtali, et al.. (2018). S-allylmercapto-N-acetylcysteine protects against oxidative stress and extends lifespan in Caenorhabditis elegans. PLoS ONE. 13(3). e0194780–e0194780. 13 indexed citations
11.
Levine, Amir, et al.. (2017). A multi-animal tracker for studying complex behaviors. BMC Biology. 15(1). 29–29. 34 indexed citations
12.
Levine, Amir, et al.. (2016). Evidence for the Risks and Consequences of Adolescent Cannabis Exposure. Journal of the American Academy of Child & Adolescent Psychiatry. 56(3). 214–225. 168 indexed citations
13.
Colnaghi, Luca, et al.. (2016). Social Involvement Modulates the Response to Novel and Adverse Life Events in Mice. PLoS ONE. 11(9). e0163077–e0163077. 7 indexed citations
14.
Lazenka, Matthew F., Dena Kota, Laura E. Wise, et al.. (2016). Early adolescent nicotine exposure affects later-life cocaine reward in mice. Neuropharmacology. 105. 308–317. 31 indexed citations
15.
Hu, Jiang‐Yuan, Amir Levine, Ying‐Ju Sung, & Samuel Schacher. (2015). cJun and CREB2 in the Postsynaptic Neuron Contribute to Persistent Long-Term Facilitation at a Behaviorally Relevant Synapse. Journal of Neuroscience. 35(1). 386–395. 22 indexed citations
16.
Huang, Yan-You, Amir Levine, Denise B. Kandel, et al.. (2014). D1/D5 receptors and histone deacetylation mediate the Gateway Effect of LTP in hippocampal dentate gyrus. Learning & Memory. 21(3). 153–160. 22 indexed citations
17.
Warnault, Vincent, Emmanuel Darcq, Amir Levine, Segev Barak, & Dorit Ron. (2013). Chromatin remodeling — a novel strategy to control excessive alcohol drinking. Translational Psychiatry. 3(2). e231–e231. 121 indexed citations
18.
Levine, Amir. (2012). Alcohol Use and Policy Formation: An Evolving Social Problem. Social Work in Public Health. 27(6). 604–615. 3 indexed citations
19.
20.
Levine, Amir, Yan-You Huang, Bettina Drisaldi, et al.. (2011). Molecular Mechanism for a Gateway Drug: Epigenetic Changes Initiated by Nicotine Prime Gene Expression by Cocaine. Science Translational Medicine. 3(107). 107ra109–107ra109. 199 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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