Aram B. Cholanians

1.2k total citations · 2 hit papers
9 papers, 909 citations indexed

About

Aram B. Cholanians is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Pharmacology. According to data from OpenAlex, Aram B. Cholanians has authored 9 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Toxicology and 3 papers in Pharmacology. Recurrent topics in Aram B. Cholanians's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Forensic Toxicology and Drug Analysis (4 papers) and Cannabis and Cannabinoid Research (3 papers). Aram B. Cholanians is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Forensic Toxicology and Drug Analysis (4 papers) and Cannabis and Cannabinoid Research (3 papers). Aram B. Cholanians collaborates with scholars based in United States. Aram B. Cholanians's co-authors include Daniel G. Ehlinger, Kathryn G. Commons, Jessica A. Babb, Eli Chapman, Matthew Dodson, Montserrat Rojo de la Vega, Donna D. Zhang, Cody J. Schmidlin, Terrence J. Monks and Serrine S. Lau and has published in prestigious journals such as Molecular and Cellular Biology, The Annual Review of Pharmacology and Toxicology and Toxicological Sciences.

In The Last Decade

Aram B. Cholanians

9 papers receiving 900 citations

Hit Papers

Modulating NRF2 in Diseas... 2017 2026 2020 2023 2018 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aram B. Cholanians United States 7 398 195 170 105 98 9 909
Kazuya Miyagawa Japan 17 252 0.6× 106 0.5× 170 1.0× 130 1.2× 88 0.9× 70 983
Nevena V. Radonjić Serbia 23 274 0.7× 193 1.0× 224 1.3× 272 2.6× 91 0.9× 47 1.3k
Jie Ma China 22 451 1.1× 107 0.5× 119 0.7× 178 1.7× 125 1.3× 97 1.3k
Matthew W. Pitts United States 17 223 0.6× 137 0.7× 137 0.8× 66 0.6× 113 1.2× 33 1.0k
Trinh T. Tran United States 22 347 0.9× 320 1.6× 141 0.8× 108 1.0× 279 2.8× 31 1.5k
Shoshiro Okada Japan 20 522 1.3× 227 1.2× 228 1.3× 65 0.6× 204 2.1× 92 1.2k
Liu Luo China 15 205 0.5× 116 0.6× 124 0.7× 173 1.6× 62 0.6× 32 802
Felipe Schmitz Brazil 21 236 0.6× 184 0.9× 103 0.6× 155 1.5× 143 1.5× 58 1.0k
Larissa de Sá Lima Brazil 18 319 0.8× 154 0.8× 149 0.9× 141 1.3× 147 1.5× 34 960
Wenjun Zhou United States 17 302 0.8× 121 0.6× 110 0.6× 100 1.0× 278 2.8× 27 897

Countries citing papers authored by Aram B. Cholanians

Since Specialization
Citations

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

Fields of papers citing papers by Aram B. Cholanians

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aram B. Cholanians. 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 Aram B. Cholanians. The network helps show where Aram B. Cholanians may publish in the future.

Co-authorship network of co-authors of Aram B. Cholanians

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

All Works

9 of 9 papers shown
1.
Cholanians, Aram B., et al.. (2019). Concurrent Inhibition of Vesicular Monoamine Transporter 2 Does Not Protect Against 3,4-Methylenedioxymethamphetamine (Ecstasy) Induced Neurotoxicity. Toxicological Sciences. 170(1). 157–166. 2 indexed citations
2.
Dodson, Matthew, Pengfei Liu, Tao Jiang, et al.. (2018). Increased O-GlcNAcylation of SNAP29 Drives Arsenic-Induced Autophagic Dysfunction. Molecular and Cellular Biology. 38(11). 37 indexed citations
3.
Dodson, Matthew, Montserrat Rojo de la Vega, Aram B. Cholanians, et al.. (2018). Modulating NRF2 in Disease: Timing Is Everything. The Annual Review of Pharmacology and Toxicology. 59(1). 555–575. 395 indexed citations breakdown →
4.
Commons, Kathryn G., Aram B. Cholanians, Jessica A. Babb, & Daniel G. Ehlinger. (2017). The Rodent Forced Swim Test Measures Stress-Coping Strategy, Not Depression-like Behavior. ACS Chemical Neuroscience. 8(5). 955–960. 381 indexed citations breakdown →
5.
Cholanians, Aram B., et al.. (2016). From the Cover: Arsenic Induces Accumulation of α-Synuclein: Implications for Synucleinopathies and Neurodegeneration. Toxicological Sciences. 153(2). 271–281. 45 indexed citations
7.
Lizarraga, Lucina E., et al.. (2014). Vesicular Monoamine Transporter 2 and the Acute and Long-Term Response to 3,4-(±)-Methylenedioxymethamphetamine. Toxicological Sciences. 143(1). 209–219. 17 indexed citations
8.
Cholanians, Aram B., et al.. (2014). Catechol-O-Methyltransferase and 3,4-(±)-Methylenedioxymethamphetamine Toxicity. Toxicological Sciences. 139(1). 162–173. 5 indexed citations
9.
Cholanians, Aram B., et al.. (2013). Glial Cell Response to 3,4-(±)-Methylenedioxymethamphetamine and Its Metabolites. Toxicological Sciences. 138(1). 130–138. 12 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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