Caroline E. Hope

3.1k citations
9 papers · 2.7k · 2 hit papers · h-index 7

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 0.5%
    • Alzheimer's disease research and treatments

Papers in

Caroline E. Hope

8 papers receiving 2.5k citations

Caroline E. Hope's Hit Papers

Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease 2008 · 727 citations
7270+8+17Years since publication4008001.2k

Peers

Caroline E. Hope
Comparison fields: 5 of 101
  • Neurology 651
  • Physiology 1.9k
  • Biological Psychiatry 166
  • Psychiatry and Mental health 475
  • Pharmacology 460
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Caroline E. Hope relative to Andrew R. Haynes United Kingdom Andrew R. Haynes's profile →
Citations per field
00.5×1.5×
Andrew R. Haynes · 1×
Citations per year

Countries citing papers authored by Caroline E. Hope

Since Specialization
Citations

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

Fields of papers citing papers by Caroline E. Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline E. Hope. 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 Caroline E. Hope. The network helps show where Caroline E. Hope may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Aβ peptide vaccination prevents memory loss in an animal model of Alzheimer's disease
Hit paper breakdown →
20001310
2
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Hit paper breakdown →
2008727
3 2001296
4 2001171
5 200580
6 200551
7 200310
8 20075
9 20061

About Caroline E. Hope

Caroline E. Hope is a scholar working on Physiology, Molecular Biology, Cognitive Neuroscience, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Computational Drug Discovery Methods (2 papers), Functional Brain Connectivity Studies (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Folate and B Vitamins Research (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Neurology (651 citations), Physiology (1.9k citations), Biological Psychiatry (166 citations), Psychiatry and Mental health (475 citations) and Pharmacology (460 citations). Caroline E. Hope has collaborated with scholars based in United States. Frequent co-authors include Jaime M. Hatcher, Gary W. Arendash, David M. Diamond, Marcia N. Gordon, Paul Jantzen, Dave Morgan, Giovanni DiCarlo, Chad A. Dickey, Donna M. Wilcock and Karen E. Connor. Their work appears in journals such as Neurobiology of Disease, Alzheimer s & Dementia, Experimental Neurology, Neurobiology of Aging and Brain Research.

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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