Dana Most

624 total citations
11 papers, 495 citations indexed

About

Dana Most is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Dana Most has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Neurology. Recurrent topics in Dana Most's work include Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and MicroRNA in disease regulation (3 papers). Dana Most is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and MicroRNA in disease regulation (3 papers). Dana Most collaborates with scholars based in United States and Israel. Dana Most's co-authors include R. Adron Harris, Laura B. Ferguson, Yuri A. Blednov, Eiran Vadim Harel, Abraham Zangen, Leor N. Katz, Yechiel Levkovitz, Yoram Braw, Yiftach Roth and Roman Gersner and has published in prestigious journals such as Neurology, Neuropsychopharmacology and Neuropharmacology.

In The Last Decade

Dana Most

10 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Most United States 9 237 143 143 109 66 11 495
Derya Sargin Canada 13 93 0.4× 186 1.3× 131 0.9× 267 2.4× 38 0.6× 14 648
Yingchun Shang China 13 118 0.5× 156 1.1× 71 0.5× 95 0.9× 18 0.3× 17 448
Bruna Cuccurazzu Italy 10 132 0.6× 94 0.7× 55 0.4× 147 1.3× 26 0.4× 11 461
Brian V. Lananna United States 7 143 0.6× 143 1.0× 95 0.7× 83 0.8× 17 0.3× 9 610
Aitor Palomino Spain 8 128 0.5× 80 0.6× 60 0.4× 138 1.3× 66 1.0× 9 425
Jan‐Oliver Hollnagel Germany 15 216 0.9× 152 1.1× 183 1.3× 313 2.9× 65 1.0× 23 620
Konstantinos Kompotis Switzerland 5 74 0.3× 293 2.0× 119 0.8× 86 0.8× 20 0.3× 8 545
Krista M. Rodgers United States 14 138 0.6× 168 1.2× 143 1.0× 261 2.4× 98 1.5× 22 634
Gideon F. Meerhoff Netherlands 8 111 0.5× 185 1.3× 73 0.5× 218 2.0× 63 1.0× 12 588
Mohammed E. Choudhury Japan 15 355 1.5× 160 1.1× 99 0.7× 217 2.0× 32 0.5× 40 714

Countries citing papers authored by Dana Most

Since Specialization
Citations

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

Fields of papers citing papers by Dana Most

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Most

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

All Works

11 of 11 papers shown
1.
Most, Dana, et al.. (2023). Pediatric opsoclonus myoclonus ataxia syndrome in the setting of COVID-19 (P5-9.010). Neurology. 100(17_supplement_2).
3.
Most, Dana, et al.. (2018). Silencing synaptic MicroRNA‐411 reduces voluntary alcohol consumption in mice. Addiction Biology. 24(4). 604–616. 19 indexed citations
4.
Most, Dana, et al.. (2015). Synaptic microRNAs Coordinately Regulate Synaptic mRNAs: Perturbation by Chronic Alcohol Consumption. Neuropsychopharmacology. 41(2). 538–548. 18 indexed citations
5.
Most, Dana, et al.. (2014). Neuroimmune Pathways in Alcohol Consumption: Evidence from Behavioral and Genetic Studies in Rodents and Humans. International review of neurobiology. 118. 13–39. 78 indexed citations
6.
Most, Dana, Laura B. Ferguson, Yuri A. Blednov, R. Dayne Mayfield, & R. Adron Harris. (2014). The synaptoneurosome transcriptome: a model for profiling the emolecular effects of alcohol. The Pharmacogenomics Journal. 15(2). 177–188. 29 indexed citations
7.
Most, Dana, Laura B. Ferguson, & R. Adron Harris. (2014). Molecular basis of alcoholism. Handbook of clinical neurology. 125. 89–111. 52 indexed citations
8.
Ferguson, Laura B., Dana Most, Yuri A. Blednov, & R. Adron Harris. (2014). PPAR agonists regulate brain gene expression: Relationship to their effects on ethanol consumption. Neuropharmacology. 86. 397–407. 68 indexed citations
9.
Most, Dana, et al.. (2014). Synaptic adaptations by alcohol and drugs of abuse: changes in microRNA expression and mRNA regulation. Frontiers in Molecular Neuroscience. 7. 85–85. 26 indexed citations
10.
Levkovitz, Yechiel, Eiran Vadim Harel, Leor N. Katz, et al.. (2011). Differential effects of deep TMS of the prefrontal cortex on apathy and depression. Brain stimulation. 4(4). 266–274. 35 indexed citations
11.
Levkovitz, Yechiel, Eiran Vadim Harel, Yiftach Roth, et al.. (2009). Deep transcranial magnetic stimulation over the prefrontal cortex: Evaluation of antidepressant and cognitive effects in depressive patients. Brain stimulation. 2(4). 188–200. 168 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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