Jessica R. Barson

2.4k total citations
64 papers, 1.8k citations indexed

About

Jessica R. Barson is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Jessica R. Barson has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Endocrine and Autonomic Systems, 33 papers in Cellular and Molecular Neuroscience and 25 papers in Cognitive Neuroscience. Recurrent topics in Jessica R. Barson's work include Regulation of Appetite and Obesity (39 papers), Sleep and Wakefulness Research (25 papers) and Neuropeptides and Animal Physiology (22 papers). Jessica R. Barson is often cited by papers focused on Regulation of Appetite and Obesity (39 papers), Sleep and Wakefulness Research (25 papers) and Neuropeptides and Animal Physiology (22 papers). Jessica R. Barson collaborates with scholars based in United States and Venezuela. Jessica R. Barson's co-authors include Sarah F. Leibowitz, Bartley G. Hoebel, Irene Morganstern, Olga Karatayev, Pedro Rada, Miriam E. Bocarsly, Guo‐Qing Chang, Kinning Poon, Nancy R. Mack and Guo Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Jessica R. Barson

64 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica R. Barson United States 27 917 676 673 355 296 64 1.8k
Olga Karatayev United States 24 868 0.9× 429 0.6× 440 0.7× 266 0.7× 320 1.1× 46 1.6k
Unga A. Unmehopa Netherlands 25 862 0.9× 409 0.6× 334 0.5× 385 1.1× 341 1.2× 56 2.2k
R.A. Leslie United Kingdom 27 1.1k 1.2× 741 1.1× 1.1k 1.7× 585 1.6× 380 1.3× 50 2.7k
Aleksandra Vicentic United States 21 573 0.6× 353 0.5× 578 0.9× 352 1.0× 445 1.5× 30 1.6k
János Gardi Hungary 21 669 0.7× 473 0.7× 384 0.6× 242 0.7× 392 1.3× 52 1.6k
Pia Steensland Sweden 19 436 0.5× 373 0.6× 1.1k 1.6× 674 1.9× 364 1.2× 28 1.9k
Gwenaël Labouèbe Switzerland 14 532 0.6× 543 0.8× 1000 1.5× 585 1.6× 284 1.0× 22 1.8k
Montserrat Navarro United States 26 646 0.7× 541 0.8× 1.2k 1.8× 448 1.3× 389 1.3× 57 2.3k
Johan Alsiö United Kingdom 25 294 0.3× 526 0.8× 678 1.0× 549 1.5× 283 1.0× 43 2.0k
Kristi A. Kohlmeier Denmark 21 781 0.9× 974 1.4× 606 0.9× 398 1.1× 165 0.6× 104 1.8k

Countries citing papers authored by Jessica R. Barson

Since Specialization
Citations

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

Fields of papers citing papers by Jessica R. Barson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jessica R. Barson. 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 Jessica R. Barson. The network helps show where Jessica R. Barson may publish in the future.

Co-authorship network of co-authors of Jessica R. Barson

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica R. Barson. A scholar is included among the top collaborators of Jessica R. Barson 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 Jessica R. Barson. Jessica R. Barson 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
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Bokoliya, Suresh, Jordan T. Russell, Yair Dorsett, et al.. (2024). Short-chain fatty acid valerate reduces voluntary alcohol intake in male mice. Microbiome. 12(1). 108–108. 7 indexed citations
3.
Karkhanis, Anushree N., et al.. (2024). Kappa-opioid receptor stimulation in the nucleus accumbens shell and ethanol drinking: Differential effects by rostro-caudal location and level of drinking. Neuropsychopharmacology. 49(10). 1550–1558. 4 indexed citations
4.
Rajbhandari, Abha K., Jessica R. Barson, Marieke R. Gilmartin, Sayamwong E. Hammack, & Briana K. Chen. (2023). The functional heterogeneity of PACAP: Stress, learning, and pathology. Neurobiology of Learning and Memory. 203. 107792–107792. 10 indexed citations
5.
Karkhanis, Anushree N., et al.. (2023). A critical review of effects on ethanol intake of the dynorphin/kappa opioid receptor system in the extended amygdala: From inhibition to stimulation. Alcohol Clinical and Experimental Research. 47(6). 1027–1038. 6 indexed citations
6.
Barson, Jessica R., et al.. (2022). Inactivation of the thalamic paraventricular nucleus promotes place preference and sucrose seeking in male rats. Psychopharmacology. 239(8). 2659–2671. 4 indexed citations
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Barson, Jessica R.. (2020). The role of neuropeptides in drug and ethanol abuse: Medication targets for drug and alcohol use disorders. Brain Research. 1740. 146876–146876. 2 indexed citations
9.
Barson, Jessica R., Nancy R. Mack, & Wen‐Jun Gao. (2020). The Paraventricular Nucleus of the Thalamus Is an Important Node in the Emotional Processing Network. Frontiers in Behavioral Neuroscience. 14. 598469–598469. 87 indexed citations
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Barson, Jessica R., et al.. (2019). Pleiotropic pituitary adenylate cyclase-activating polypeptide (PACAP): Novel insights into the role of PACAP in eating and drug intake. Brain Research. 1729. 146626–146626. 25 indexed citations
13.
Barson, Jessica R., et al.. (2018). Pituitary Adenylate Cyclase‐Activating Polypeptide‐27 (PACAP‐27) in the Thalamic Paraventricular Nucleus Is Stimulated by Ethanol Drinking. Alcoholism Clinical and Experimental Research. 42(9). 1650–1660. 22 indexed citations
14.
Bernstein, David L., et al.. (2017). Hypocretin receptor 1 knockdown in the ventral tegmental area attenuates mesolimbic dopamine signaling and reduces motivation for cocaine. Addiction Biology. 23(5). 1032–1045. 35 indexed citations
15.
Barson, Jessica R., et al.. (2012). Neurochemical Heterogeneity of Rats Predicted by Different Measures to be High Ethanol Consumers. Alcoholism Clinical and Experimental Research. 37(s1). E141–51. 31 indexed citations
16.
Barson, Jessica R., Irene Morganstern, & Sarah F. Leibowitz. (2012). Neurobiology of Consummatory Behavior: Mechanisms Underlying Overeating and Drug Use. ILAR Journal. 53(1). 35–58. 25 indexed citations
17.
Chang, Guo, Olga Karatayev, Sherry Liang, Jessica R. Barson, & Sarah F. Leibowitz. (2012). Prenatal ethanol exposure stimulates neurogenesis in hypothalamic and limbic peptide systems: Possible mechanism for offspring ethanol overconsumption. Neuroscience. 222. 417–428. 47 indexed citations
18.
Morganstern, Irene, Jessica R. Barson, & Sarah F. Leibowitz. (2011). Regulation of Drug and Palatable Food Overconsumption by Similar Peptide Systems. Current Drug Abuse Reviews. 4(3). 163–173. 37 indexed citations
19.
Barson, Jessica R., Ambrose Carr, Jennifer E. Soun, et al.. (2009). Opioids in the Hypothalamic Paraventricular Nucleus Stimulate Ethanol Intake. Alcoholism Clinical and Experimental Research. 34(2). 214–222. 56 indexed citations
20.
Rada, Pedro, Jessica R. Barson, Sarah F. Leibowitz, & Bartley G. Hoebel. (2009). Opioids in the hypothalamus control dopamine and acetylcholine levels in the nucleus accumbens. Brain Research. 1312. 1–9. 40 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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