Danielle S. Kroll

476 total citations
16 papers, 265 citations indexed

About

Danielle S. Kroll is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Danielle S. Kroll has authored 16 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Danielle S. Kroll's work include Functional Brain Connectivity Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Sleep and related disorders (4 papers). Danielle S. Kroll is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Sleep and related disorders (4 papers). Danielle S. Kroll collaborates with scholars based in United States and China. Danielle S. Kroll's co-authors include Peter Manza, Nora D. Volkow, Dana E. Feldman, Gene‐Jack Wang, Corinde E. Wiers, Katherine McPherson, Jamie Burns, Dardo Tomasi, Ehsan Shokri‐Kojori and Christopher Kure Liu and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Cerebral Cortex.

In The Last Decade

Danielle S. Kroll

15 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle S. Kroll United States	10	85	56	47	36	34	16	265
Katherine McPherson United States	10	73 0.9×	42 0.8×	31 0.7×	39 1.1×	25 0.7×	17	221
Tatu Kantonen Finland	7	59 0.7×	62 1.1×	64 1.4×	23 0.6×	22 0.6×	11	227
Christopher Kure Liu United States	8	64 0.8×	76 1.4×	42 0.9×	16 0.4×	21 0.6×	9	308
Sophie L. YorkWilliams United States	12	104 1.2×	83 1.5×	34 0.7×	34 0.9×	18 0.5×	17	453
Wuhai Tao China	8	68 0.8×	44 0.8×	56 1.2×	22 0.6×	10 0.3×	20	235
Jennifer Cromer United States	6	173 2.0×	64 1.1×	32 0.7×	33 0.9×	13 0.4×	6	387
Alejandra Mondragón‐Maya Mexico	7	121 1.4×	16 0.3×	58 1.2×	27 0.8×	17 0.5×	21	293
Sarah Elsabagh United Kingdom	9	149 1.8×	65 1.2×	50 1.1×	64 1.8×	29 0.9×	16	505
Zhongxia Shen China	9	84 1.0×	31 0.6×	13 0.3×	58 1.6×	18 0.5×	30	295
Ariel Ketcherside United States	9	102 1.2×	100 1.8×	21 0.4×	61 1.7×	8 0.2×	13	319

Countries citing papers authored by Danielle S. Kroll

Since Specialization

Citations

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

Fields of papers citing papers by Danielle S. Kroll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle S. Kroll. 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 Danielle S. Kroll. The network helps show where Danielle S. Kroll may publish in the future.

Co-authorship network of co-authors of Danielle S. Kroll

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

All Works

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16 of 16 papers shown

Manza, Peter, Dardo Tomasi, Ehsan Shokri‐Kojori, et al.. (2023). Neural circuit selective for fast but not slow dopamine increases in drug reward. Nature Communications. 14(1). 6408–6408. 7 indexed citations

Tomasi, Dardo, Peter Manza, Jean Logan, et al.. (2023). Time-varying SUVr reflects the dynamics of dopamine increases during methylphenidate challenges in humans. Communications Biology. 6(1). 166–166. 6 indexed citations

Rentería, Miguel Arce, Leslie A. McClure, Peter Callas, et al.. (2023). Lipoprotein(a) and risk of cognitive impairment in Black and White Americans: the Reasons for Geographic and Racial Differences in Stroke cohort. Research and Practice in Thrombosis and Haemostasis. 7(6). 102170–102170. 1 indexed citations

Kroll, Danielle S., Katherine McPherson, Peter Manza, et al.. (2022). Elevated transferrin saturation in individuals with alcohol use disorder: Association with HFE polymorphism and alcohol withdrawal severity. Addiction Biology. 27(2). e13144–e13144. 1 indexed citations

Zhang, Rui, Dardo Tomasi, Ehsan Shokri‐Kojori, et al.. (2022). Effect of detoxification on N3 sleep correlates with brain functional but not structural changes in alcohol use disorder. Drug and Alcohol Dependence. 238. 109545–109545. 2 indexed citations

Manza, Peter, Danielle S. Kroll, Katherine McPherson, et al.. (2022). Sex differences in weight gain during medication-based treatment for opioid use disorder: A meta-analysis and retrospective analysis of clinical trial data. Drug and Alcohol Dependence. 238. 109575–109575. 9 indexed citations

Zhang, Rui, Dardo Tomasi, Ehsan Shokri‐Kojori, et al.. (2022). 0678 Slow Wave Sleep Recovery Correlates with Brain Functional and Structural Changes in Alcohol Use Disorder. SLEEP. 45(Supplement_1). A297–A297.

Manza, Peter, Ehsan Shokri‐Kojori, Corinde E. Wiers, et al.. (2021). Sex differences in methylphenidate-induced dopamine increases in ventral striatum. Molecular Psychiatry. 27(2). 939–946. 24 indexed citations

Zhang, Rui, Peter Manza, Dardo Tomasi, et al.. (2021). Dopamine D1 and D2 receptors are distinctly associated with rest-activity rhythms and drug reward. Journal of Clinical Investigation. 131(18). 22 indexed citations

10.

Tomasi, Dardo, Corinde E. Wiers, Peter Manza, et al.. (2021). Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction. Cerebral Cortex. 31(7). 3254–3265. 20 indexed citations

11.

Zhang, Rui, Dardo Tomasi, Peter Manza, et al.. (2021). Sleep disturbances are associated with cortical and subcortical atrophy in alcohol use disorder. Translational Psychiatry. 11(1). 13 indexed citations

12.

Manza, Peter, Corinde E. Wiers, Ehsan Shokri‐Kojori, et al.. (2020). Brain Network Segregation and Glucose Energy Utilization: Relevance for Age-Related Differences in Cognitive Function. Cerebral Cortex. 30(11). 5930–5942. 30 indexed citations

13.

Kroll, Danielle S., Dana E. Feldman, Katherine McPherson, et al.. (2020). Neuroimaging of Sex/Gender Differences in Obesity: A Review of Structure, Function, and Neurotransmission. Nutrients. 12(7). 1942–1942. 40 indexed citations

14.

Kroll, Danielle S., Dana E. Feldman, Rui Zhang, et al.. (2020). The associations of comorbid substance use disorders and psychiatric conditions with adolescent brain structure and function: A review. Journal of the Neurological Sciences. 418. 117099–117099. 10 indexed citations

15.

Burns, Jamie, Danielle S. Kroll, Dana E. Feldman, et al.. (2019). Molecular Imaging of Opioid and Dopamine Systems: Insights Into the Pharmacogenetics of Opioid Use Disorders. Frontiers in Psychiatry. 10. 626–626. 50 indexed citations

16.

Liu, Christopher Kure, Paule V. Joseph, Dana E. Feldman, et al.. (2019). Brain Imaging of Taste Perception in Obesity: a Review. Current Nutrition Reports. 8(2). 108–119. 30 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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