Danielle Harvey

34.3k citations
229 papers · 15.8k indexed · 6 hit papers · h-index 60

Danielle Harvey

217 papers receiving 15.6k citations

Hit Papers

Understanding disease progress...324200420262011201850010001.5k

Peers

Danielle Harvey
Comparison fields: 5 of 183
  • Internal Medicine 1.8k
  • Psychiatry and Mental health 6.3k
  • Neurology 2.1k
  • Cognitive Neuroscience 3.3k
  • Physiology 4.2k
Replace Eric E. Smith with:
Eric E. Smith Canada
Peter J. Koudstaal Netherlands
Walter J. Koroshetz United States
Vladimir Hachinski Canada
Teri A. Manolio United States
Melville R. Klauber United States
L. Jaap Kappelle Netherlands
Valery L. Feigin New Zealand
Rema Raman United States
Álvaro Alonso United States
Danielle Harvey relative to Eric E. Smith Canada Eric E. Smith's profile →
Citations per field
00.5×1.5×2.1×
Eric E. Smith · 1×
Citations per year

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

The 25 scholars most cited alongside Danielle Harvey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Harvey Line = papers co-authored together Danielle Harvey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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17 201918
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19
Comparison of Retinal Nerve Fiber Layer Thickness and Macular Thickness/Volume Among Patients with Relapsing-Remitting Multiple Sclerosis: Baseline Data from a Phase 3 Trial of Fingolimod
20111
20 201159

About Danielle Harvey

Danielle Harvey is a scholar working on Psychiatry and Mental health, Neuropsychology and Physiological Psychology, Internal Medicine, Cognitive Neuroscience and Neurology, having authored 229 papers that have together received 15.8k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (70 papers), Alzheimer's disease research and treatments (39 papers), Autism Spectrum Disorder Research (24 papers), Genetics and Neurodevelopmental Disorders (20 papers), Functional Brain Connectivity Studies (19 papers), Advanced Neuroimaging Techniques and Applications (17 papers), Pesticide Exposure and Toxicity (15 papers) and Venous Thromboembolism Diagnosis and Management (14 papers). The work is most often cited by research in Internal Medicine (1.8k citations), Psychiatry and Mental health (6.3k citations), Neurology (2.1k citations), Cognitive Neuroscience (3.3k citations) and Physiology (4.2k citations). Danielle Harvey has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include William J. Jagust, Michael W. Weiner, Hong Zhou, Richard H. White, Dan Mungas, Bruce Reed, Clifford R. Jack, Laurel Beckett, Helen K. Chew and Charles DeCarli. Their work appears in journals such as Alzheimer s & Dementia, Journal of Neurodevelopmental Disorders, Neurology, NeuroToxicology and NeuroImage.

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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