Sean P. Farris

1.4k total citations
32 papers, 878 citations indexed

About

Sean P. Farris is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sean P. Farris has authored 32 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Sean P. Farris's work include Peroxisome Proliferator-Activated Receptors (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Adipose Tissue and Metabolism (6 papers). Sean P. Farris is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (9 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Adipose Tissue and Metabolism (6 papers). Sean P. Farris collaborates with scholars based in United States, Sweden and Switzerland. Sean P. Farris's co-authors include R. Dayne Mayfield, R. Adron Harris, Michael F. Miles, Scott Hunicke‐Smith, Dhivya Arasappan, Igor Ponomarev, Yuri A. Blednov, Louise Adermark, Riccardo Barchiesi and Marcelo F. Lopez and has published in prestigious journals such as Science, Nature Communications and PLoS ONE.

In The Last Decade

Sean P. Farris

31 papers receiving 873 citations

Peers

Sean P. Farris

CMN

NEURO

PHYSI

Sheila M. Brooke United States

Christie Brannock United States

Meleik A. Hebert United States

Bruce G. Mockett New Zealand

Markus Panhuysen Germany

Ida C. Llenos United States

Svetlana Dzitoyeva United States

Megan K. Mulligan United States

Jacob T. Beckley United States

Melissa A. Snyder United States

Sheila M. Brooke United States

Sean P. Farris

289 ×0.7

339 ×1.0

CMN

205 ×1.0

NEURO

164 ×1.0

PHYSI

120 ×1.3

Citations per year, relative to Sean P. Farris Sean P. Farris (= 1×) peers Sheila M. Brooke

Countries citing papers authored by Sean P. Farris

Since Specialization

Citations

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

Fields of papers citing papers by Sean P. Farris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Farris. 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 Sean P. Farris. The network helps show where Sean P. Farris may publish in the future.

Co-authorship network of co-authors of Sean P. Farris

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

All Works

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20 of 20 papers shown

Guizzetti, Marina, Regina A. Mangieri, Lubov Ezerskiy, et al.. (2025). Astrocytes and Alcohol Throughout the Lifespan. Biological Psychiatry. 99(1). 9–20. 2 indexed citations

Ferguson, Carolyn, et al.. (2023). Mechanical and Heat Hyperalgesia upon Withdrawal From Chronic Intermittent Ethanol Vapor Depends on Sex, Exposure Duration, and Blood Alcohol Concentration in Mice. Journal of Pain. 24(7). 1262–1274. 17 indexed citations

Hill, Shirley Y., et al.. (2023). Inter- and transgenerational heritability of preconception chronic stress or alcohol exposure: Translational outcomes in brain and behavior. Neurobiology of Stress. 29. 100603–100603. 4 indexed citations

Thathiah, Amantha, Yunhong Huang, Carolyn Ferguson, et al.. (2023). G protein‐biased GPR3 signaling induces glial activation and ameliorates amyloid pathology in a preclinical Alzheimer’s disease mouse model. Alzheimer s & Dementia. 19(S1).

Mangieri, Regina A., et al.. (2022). Effect of chronic intermittent ethanol vapor exposure on RNA content of brain-derived extracellular vesicles. Alcohol. 105. 9–24. 3 indexed citations

Augier, Eric, Estelle Barbier, Russell S. Dulman, et al.. (2018). A molecular mechanism for choosing alcohol over an alternative reward. Science. 360(6395). 1321–1326. 167 indexed citations

Salvatore, Jessica E., et al.. (2018). Beyond genome‐wide significance: integrative approaches to the interpretation and extension of GWAS findings for alcohol use disorder. Addiction Biology. 24(2). 275–289. 15 indexed citations

Wolfe, Sarah A., Sean P. Farris, Chelcie F. Heaney, et al.. (2018). Ethanol and a rapid-acting antidepressant produce overlapping changes in exon expression in the synaptic transcriptome. Neuropharmacology. 146. 289–299. 8 indexed citations

Bowers, M. Scott, Fazil Alıev, Sean P. Farris, et al.. (2018). Glycogen synthase kinase 3 beta regulates ethanol consumption and is a risk factor for alcohol dependence. Neuropsychopharmacology. 43(13). 2521–2531. 23 indexed citations

10.

Farris, Sean P., et al.. (2018). Bioinformatic and biological avenues for understanding alcohol use disorder. Alcohol. 74. 65–71. 3 indexed citations

11.

Farris, Sean P., Brien P. Riley, Robert W. Williams, et al.. (2017). Cross-species molecular dissection across alcohol behavioral domains. Alcohol. 72. 19–31. 9 indexed citations

12.

Farris, Sean P., et al.. (2017). Microglial-specific transcriptome changes following chronic alcohol consumption. Neuropharmacology. 128. 416–424. 45 indexed citations

13.

Wolfe, Sarah A., Chelcie F. Heaney, Farr Niere, et al.. (2016). FMRP regulates an ethanol-dependent shift in GABABR function and expression with rapid antidepressant properties. Nature Communications. 7(1). 12867–12867. 25 indexed citations

14.

Farris, Sean P., Andrzej Z. Pietrzykowski, Michael F. Miles, et al.. (2015). Applying the new genomics to alcohol dependence. Alcohol. 49(8). 825–836. 14 indexed citations

15.

Farris, Sean P., R. Adron Harris, & Igor Ponomarev. (2015). Epigenetic modulation of brain gene networks for cocaine and alcohol abuse. Frontiers in Neuroscience. 9. 176–176. 51 indexed citations

16.

Farris, Sean P. & R. Dayne Mayfield. (2014). RNA-Seq Reveals Novel Transcriptional Reorganization in Human Alcoholic Brain. International review of neurobiology. 116. 275–300. 44 indexed citations

17.

Hahn, Yun K., Elizabeth M. Podhaizer, Sean P. Farris, et al.. (2013). Effects of chronic HIV-1 Tat exposure in the CNS: heightened vulnerability of males versus females to changes in cell numbers, synaptic integrity, and behavior. Brain Structure and Function. 220(2). 605–623. 70 indexed citations

18.

Farris, Sean P. & Michael F. Miles. (2013). Fyn-Dependent Gene Networks in Acute Ethanol Sensitivity. PLoS ONE. 8(11). e82435–e82435. 19 indexed citations

19.

Hill, John S., Sean P. Farris, Ian Martin, et al.. (2012). Chloride intracellular channels modulate acute ethanol behaviors inDrosophila, Caenorhabditis elegansand mice. Genes Brain & Behavior. 11(4). 387–397. 39 indexed citations

20.

Farris, Sean P. & Michael F. Miles. (2011). Ethanol modulation of gene networks: Implications for alcoholism. Neurobiology of Disease. 45(1). 115–121. 19 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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