Emily Sharp

15 papers receiving 658 citations

Hit Papers

Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J 2022 · 117 citations
1172022202620232024255075100

Peers

Emily Sharp
Comparison fields: 5 of 97
  • Neuropsychology and Physiological Psychology 36
  • Psychiatry and Mental health 303
  • Health 94
  • Geriatrics and Gerontology 38
  • Biological Psychiatry 18
Replace George M. Hoganson with:
George M. Hoganson United States
Roberta Vaccaro Italy
Ying‐quan Wang China
Y. Tang United States
Laiss Bertola Brazil
Henrique Cerqueira Guimarães Brazil
Jet M. J. Vonk United States
Maria Aparecida Camargos Bicalho Brazil
Nichole L. Saunders Australia
Srikala Bharath India
Emily Sharp relative to George M. Hoganson United States George M. Hoganson's profile →
Citations per field
00.5×4.2×
George M. Hoganson · 1×
Citations per year

Countries citing papers authored by Emily Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Emily Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Sharp, 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 Emily Sharp Line = papers co-authored together Emily Sharp links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2011389
2
Synaptic density and cognitive performance in Alzheimer's disease: A PET imaging study with [11C]UCB‐J
Hit paper breakdown →
2022117
3 201097
4 201831
5 202018
6 20243
7 20093
8 20193
9 20242
10 20212
11 20241
12 20211
13 20211
14 20221
15 20221
16 20250

About Emily Sharp

Emily Sharp is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience, Physiology, Health and Social Psychology, having authored 16 papers that have together received 670 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (4 papers), Functional Brain Connectivity Studies (3 papers), Hearing Loss and Rehabilitation (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Identity, Memory, and Therapy (2 papers), Health disparities and outcomes (2 papers) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (36 citations), Psychiatry and Mental health (303 citations), Health (94 citations), Geriatrics and Gerontology (38 citations) and Biological Psychiatry (18 citations). Emily Sharp has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Margaret Gatz, Chandra A. Reynolds, Nancy L. Pedersen, Adam P. Mecca, Christopher H. van Dyck, Takuya Toyonaga, Amy F.T. Arnsten, Yiyun Huang, Brent C. Vander Wyk and Nabeel Nabulsi. Their work appears in journals such as Alzheimer s & Dementia, American Journal of Geriatric Psychiatry, Psychology and Aging, Clinical Trials and Biological Psychiatry.

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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