Nancy Johnson

10.7k citations
65 papers · 8.8k · 5 hit papers · h-index 41

Impact in

Papers in

Nancy Johnson

65 papers receiving 8.7k citations

Nancy Johnson's Hit Papers

Predicting Alzheimer’s disease progression using multi-modal deep learning approach 2019 · 319 citations
3190+5+10Years since publication5001k1.5k

Peers

Nancy Johnson
Comparison fields: 5 of 133
  • Psychiatry and Mental health 4.3k
  • Physiology 2.8k
  • Neurology 780
  • Neurology 1.2k
  • Health Informatics 76
Replace Lisa Taylor‐Reinwald with:
Lisa Taylor‐Reinwald United States
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Nancy Johnson relative to Lisa Taylor‐Reinwald United States Lisa Taylor‐Reinwald's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nancy Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Common variants at MS4A4/MS4A6E, CD2AP, CD33 and EPHA1 are associated with late-onset Alzheimer's disease
Hit paper breakdown →
20111603
2
Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis
Hit paper breakdown →
2016947
3 2006506
4 2008414
5
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
Hit paper breakdown →
2018411
6
Predicting Alzheimer’s disease progression using multi-modal deep learning approach
Hit paper breakdown →
2019319
7
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images
Hit paper breakdown →
2018315
8 2015306
9 2015295
10 2016264
11 2010221
12 2010212
13 2010211
14 2007183
15 2016161
16 2012139
17
The Activities of Daily Living Questionnaire: a validation study in patients with dementia.
2005134
18 2019130
19 2007128
20 2009124

About Nancy Johnson

Nancy Johnson is a scholar working on Psychiatry and Mental health, Neurology, Physiology, Cancer Research and Cellular and Molecular Neuroscience, having authored 65 papers that have together received 8.8k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (47 papers), Alzheimer's disease research and treatments (13 papers), Amyotrophic Lateral Sclerosis Research (9 papers), Breast Lesions and Carcinomas (1 paper), Down syndrome and intellectual disability research (1 paper), Lysosomal Storage Disorders Research (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Psychiatry and Mental health (4.3k citations), Physiology (2.8k citations), Neurology (780 citations), Neurology (1.2k citations) and Health Informatics (76 citations). Nancy Johnson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Sandra Weıntraub, ALFRED W. RADEMAKER, Marsel M. Mesulam, Eileen H. Bigio, Alissa H. Wicklund, Emily Joy Rogalski, Gabriel C. Léger, Bing Bing Weitner, Manjari Mishra and Rosa Rademakers. Their work appears in journals such as Neurology, Nature Communications, Scientific Reports, Alzheimer Disease & Associated Disorders and Acta Neuropathologica.

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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