Ge Alexander

407 citations
11 papers · 309 · h-index 4

Impact in

Papers in

Ge Alexander

11 papers receiving 298 citations

Peers

Ge Alexander
Comparison fields: 5 of 66
  • Psychiatry and Mental health 173
  • Neuropsychology and Physiological Psychology 14
  • Cognitive Neuroscience 120
  • Neurology 31
  • Health 29
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Citations per year

Countries citing papers authored by Ge Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Ge Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1995209
2 199675
3 199512
4
REGIONAL CEREBRAL GLUCOSE-METABOLISM AT REST AND DURING SENSORY STIMULATION IN PATIENTS WITH ALZHEIMERS-DISEASE
19953
5
Different patterns of age-related metabolic brain changes during healthy aging and AD, using atrophy correction
20012
6
Diagnostic accuracy of FDG-PET in evaluation of dementia: International multicenter pooled brain scan and autopsy data
20002
7 19962
8
Plastic compensation fails only at high activation levels in mild Alzheimer disease
19971
9
Automated method using iterative principal component analysis for detecting brain atrophy rates from sequential MRI in persons with Alzheimer's disease
20041
10 20171
11 19961

About Ge Alexander

Ge Alexander is a scholar working on Neurology, Psychiatry and Mental health, Radiology, Nuclear Medicine and Imaging, Physiology and Nephrology, having authored 11 papers that have together received 309 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (3 papers), Medical Imaging Techniques and Applications (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Alzheimer's disease research and treatments (1 paper), Medical Imaging and Pathology Studies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Computational Drug Discovery Methods (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Psychiatry and Mental health (173 citations), Neuropsychology and Physiological Psychology (14 citations), Cognitive Neuroscience (120 citations), Neurology (31 citations) and Health (29 citations). Ge Alexander has collaborated with scholars based in United States and France. Frequent co-authors include Yaakov Stern, Isak Prohovnik, Bruce G. Link, Richard Mayeux, José M. Maisog, Barry Horwitz, Pietro Pietrini, C. L. Grady, Marc J. Mentis and Mark B. Schapiro. Their work appears in journals such as Biological Psychiatry, Journal of Neuropsychiatry, American Journal of Psychiatry, NeuroImage and Neurology.

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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