Danielle Harvey

4.7k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Danielle Harvey is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Danielle Harvey has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Psychiatry and Mental health, 5 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Danielle Harvey's work include Epilepsy research and treatment (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Neonatal and fetal brain pathology (2 papers). Danielle Harvey is often cited by papers focused on Epilepsy research and treatment (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Neonatal and fetal brain pathology (2 papers). Danielle Harvey collaborates with scholars based in United States. Danielle Harvey's co-authors include Dan Mungas, Ted Wun, Helen K. Chew, Richard H. White, Vijay P. Khatri, Hong Zhou, Owen Carmichael, R. Scott Mackin, Laura E. Gibbons and Michael W. Weiner and has published in prestigious journals such as Journal of Clinical Oncology, Stroke and Journal of the American Geriatrics Society.

In The Last Decade

Danielle Harvey

12 papers receiving 1.1k citations

Hit Papers

Development and assessment of a composite score for memor... 2012 2026 2016 2021 2012 100 200 300 400

Peers

Danielle Harvey
Danielle Harvey
Citations per year, relative to Danielle Harvey Danielle Harvey (= 1×) peers Chih‐Ping Chung

Countries citing papers authored by Danielle Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Harvey

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

All Works

12 of 12 papers shown
1.
Morales, Knashawn H., Danielle Harvey, David Dunn, et al.. (2024). Long‐term characterization of behavior phenotypes in children with seizures: Analytic approach matters. Epilepsia. 66(1). 265–278. 1 indexed citations
2.
Harvey, Danielle, Jana E. Jones, Anna W. Byars, et al.. (2023). Impact of sociodemographic disadvantage on neurobehavioral outcomes in children with newly diagnosed seizures and their unaffected siblings over 36 months. Epilepsia. 64(8). 2172–2185. 5 indexed citations
3.
Harvey, Danielle, David Dunn, Jana E. Jones, et al.. (2022). Characterizing Sleep Phenotypes in Children With Newly Diagnosed Epilepsy. Pediatric Neurology. 137. 34–40. 5 indexed citations
4.
Harvey, Danielle, David Dunn, Jana E. Jones, et al.. (2022). The Relationship Between Sleep, Cognition and Behavior in Children With Newly-Diagnosed Epilepsy Over 36 Months. Frontiers in Neurology. 13. 903137–903137. 8 indexed citations
5.
Farias, Sarah Tomaszewski, et al.. (2017). Early Functional Limitations in Cognitively Normal Older Adults Predict Diagnostic Conversion to Mild Cognitive Impairment. Journal of the American Geriatrics Society. 65(6). 1152–1158. 92 indexed citations
6.
Leow, Alex, Danielle Harvey, Naomi J. Goodrich‐Hunsaker, et al.. (2014). Altered structural brain connectome in young adult fragile X premutation carriers. Human Brain Mapping. 35(9). 4518–4530. 14 indexed citations
7.
Dodge, Hiroko H., Jian Zhu, Danielle Harvey, et al.. (2014). Biomarker progressions explain higher variability in stage‐specific cognitive decline than baseline values in Alzheimer disease. Alzheimer s & Dementia. 10(6). 690–703. 35 indexed citations
8.
Fletcher, Evan, et al.. (2012). Adaptive image segmentation for robust measurement of longitudinal brain tissue change. PubMed. 2012. 5319–5322. 76 indexed citations
9.
Crane, Paul K., Adam C. Carle, Laura E. Gibbons, et al.. (2012). Development and assessment of a composite score for memory in the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Brain Imaging and Behavior. 6(4). 502–516. 429 indexed citations breakdown →
10.
Goodrich‐Hunsaker, Naomi J., Ling M. Wong, Yingratana McLennan, et al.. (2011). Enhanced Manual and Oral Motor Reaction Time in Young Adult Female Fragile X Premutation Carriers. Journal of the International Neuropsychological Society. 17(4). 746–750. 23 indexed citations
11.
Maillard, Pauline, Evan Fletcher, Danielle Harvey, et al.. (2011). White Matter Hyperintensity Penumbra. Stroke. 42(7). 1917–1922. 165 indexed citations
12.
Wun, Ted, Vijay P. Khatri, Helen K. Chew, et al.. (2006). Venous Thromboembolism in Patients With Colorectal Cancer: Incidence and Effect on Survival. Journal of Clinical Oncology. 24(7). 1112–1118. 285 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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