Sonja Eberson

730 total citations
15 papers, 562 citations indexed

About

Sonja Eberson is a scholar working on Cognitive Neuroscience, Epidemiology and Psychiatry and Mental health. According to data from OpenAlex, Sonja Eberson has authored 15 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Epidemiology and 4 papers in Psychiatry and Mental health. Recurrent topics in Sonja Eberson's work include Substance Abuse Treatment and Outcomes (5 papers), Functional Brain Connectivity Studies (3 papers) and Neurological disorders and treatments (3 papers). Sonja Eberson is often cited by papers focused on Substance Abuse Treatment and Outcomes (5 papers), Functional Brain Connectivity Studies (3 papers) and Neurological disorders and treatments (3 papers). Sonja Eberson collaborates with scholars based in United States, South Africa and Hong Kong. Sonja Eberson's co-authors include Michael P. Caligiuri, M.J. Meloy, Gregory G. Brown, James B. Lohr, Sandra S. Kindermann, Mark W. Bondi, Agnes S. Chan, David P. Salmon, Dean C. Delis and Lawrence A. Hansen and has published in prestigious journals such as Cerebral Cortex, Journal of Affective Disorders and Alcoholism Clinical and Experimental Research.

In The Last Decade

Sonja Eberson

15 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sonja Eberson United States	11	283	282	75	71	67	15	562
Jaya Padmanabhan United States	13	283 1.0×	340 1.2×	94 1.3×	69 1.0×	61 0.9×	22	712
Joaquín Escudero Spain	13	308 1.1×	179 0.6×	43 0.6×	40 0.6×	63 0.9×	41	562
M. Ross United Kingdom	6	318 1.1×	235 0.8×	106 1.4×	75 1.1×	54 0.8×	8	623
Øyvind Sundseth Norway	7	365 1.3×	218 0.8×	120 1.6×	55 0.8×	43 0.6×	9	676
Catherine E. Munro United States	11	272 1.0×	272 1.0×	53 0.7×	41 0.6×	58 0.9×	25	513
Laurena Holleran Ireland	14	220 0.8×	249 0.9×	69 0.9×	58 0.8×	86 1.3×	36	680
Dajung J. Kim South Korea	13	248 0.9×	186 0.7×	43 0.6×	56 0.8×	25 0.4×	18	581
Annette Egander Denmark	8	322 1.1×	187 0.7×	121 1.6×	71 1.0×	28 0.4×	8	614
Maira Okada de Oliveira Brazil	13	192 0.7×	274 1.0×	46 0.6×	28 0.4×	69 1.0×	41	601
Silvia Rigucci Italy	11	202 0.7×	206 0.7×	69 0.9×	65 0.9×	36 0.5×	19	521

Countries citing papers authored by Sonja Eberson

Since Specialization

Citations

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

Fields of papers citing papers by Sonja Eberson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Eberson

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

All Works

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15 of 15 papers shown

1.

Zhao, Qingyu, Magdalini Paschali, Fiona C. Baker, et al.. (2024). Identifying high school risk factors that forecast heavy drinking onset in understudied young adults. Developmental Cognitive Neuroscience. 68. 101413–101413. 1 indexed citations

2.

Nguyen‐Louie, Tam T., Wesley K. Thompson, Edith V. Sullivan, et al.. (2024). Multi-dimensional predictors of first drinking initiation and regular drinking onset in adolescence: A prospective longitudinal study. Developmental Cognitive Neuroscience. 69. 101424–101424. 5 indexed citations

3.

Pelham, William E., Dilara Yüksel, Susan F. Tapert, et al.. (2022). Did the acute impact of the COVID-19 pandemic on drinking or nicotine use persist? Evidence from a cohort of emerging adults followed for up to nine years. Addictive Behaviors. 131. 107313–107313. 12 indexed citations

4.

Infante, M. Alejandra, Sonja Eberson, Ty Brumback, et al.. (2021). Adolescent Binge Drinking Is Associated With Accelerated Decline of Gray Matter Volume. Cerebral Cortex. 32(12). 2611–2620. 20 indexed citations

5.

McCabe, Connor, Tamara L. Wall, Marybel R. Gonzalez, et al.. (2021). Associations of developmental imbalance between sensation seeking and premeditation in adolescence and heavy episodic drinking in emerging adulthood. Alcoholism Clinical and Experimental Research. 45(6). 1249–1264. 8 indexed citations

6.

Cummins, Kevin, Ty Brumback, Tammy Chung, et al.. (2020). Acceptability, Validity, and Engagement With a Mobile App for Frequent, Continuous Multiyear Assessment of Youth Health Behaviors (mNCANDA): Mixed Methods Study. JMIR mhealth and uhealth. 9(2). e24472–e24472. 10 indexed citations

7.

Nguyen‐Louie, Tam T., Kelly E. Courtney, Lindsay M. Squeglia, et al.. (2017). Prospective changes in neural alcohol cue reactivity in at-risk adolescents. Brain Imaging and Behavior. 12(4). 931–941. 24 indexed citations

8.

Nguyen‐Louie, Tam T., et al.. (2016). Learning and Memory in Adolescent Moderate, Binge, and Extreme‐Binge Drinkers. Alcoholism Clinical and Experimental Research. 40(9). 1895–1904. 50 indexed citations

9.

Caligiuri, Michael P., Gregory G. Brown, M.J. Meloy, et al.. (2006). Striatopallidal regulation of affect in bipolar disorder. Journal of Affective Disorders. 91(2-3). 235–242. 30 indexed citations

10.

Brown, Gregory G., Michael P. Caligiuri, M.J. Meloy, et al.. (2004). Functional Brain Asymmetries During Visuomotor Tracking. Journal of Clinical and Experimental Neuropsychology. 26(3). 356–368. 17 indexed citations

11.

Caligiuri, Michael P., Gregory G. Brown, M.J. Meloy, et al.. (2004). A functional magnetic resonance imaging study of cortical asymmetry in bipolar disorder. Bipolar Disorders. 6(3). 183–196. 76 indexed citations

12.

Caligiuri, Michael P., Gregory G. Brown, M.J. Meloy, et al.. (2003). An fMRI study of affective state and medication on cortical and subcortical brain regions during motor performance in bipolar disorder. Psychiatry Research Neuroimaging. 123(3). 171–182. 105 indexed citations

13.

Caligiuri, Michael P., Valentina Gentili, Sonja Eberson, et al.. (2002). A quantitative neuromotor predictor of antidepressant non-response in patients with major depression. Journal of Affective Disorders. 77(2). 135–141. 39 indexed citations

14.

Bondi, Mark W., Agnes S. Chan, Sonja Eberson, et al.. (2002). Cognitive and neuropathologic correlates of Stroop Color-Word Test performance in Alzheimer's disease.. Neuropsychology. 16(3). 335–343. 39 indexed citations

15.

Bondi, Mark W., Agnes S. Chan, Sonja Eberson, et al.. (2002). Cognitive and neuropathologic correlates of Stroop Color-Word Test performance in Alzheimer's disease.. Neuropsychology. 16(3). 335–343. 126 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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