John C. Morris

237.0k citations
1.0k papers · 118.0k · 48 hit papers · h-index 150

Impact in

    • Dementia and Cognitive Impairment Research
  • Neurology top 0.01%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments

Papers in

John C. Morris

972 papers receiving 115.1k citations

John C. Morris's Hit Papers

Plasma MTBR-tau243 biomarker identifies tau tangle pathology in Alzheimer’s disease 2025 · 41 citations
410+4+8Years since publication2505007501000

Peers

John C. Morris
Comparison fields: 5 of 226
  • Psychiatry and Mental health 39.4k
  • Neurology 11.2k
  • Physiology 31.8k
  • Biological Psychiatry 2.3k
  • Cognitive Neuroscience 18.4k
Replace David A. Bennett with:
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Citations per field
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Citations per year

Countries citing papers authored by John C. Morris

Since Specialization
Citations

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

Fields of papers citing papers by John C. Morris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Morris. 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 John C. Morris. The network helps show where John C. Morris may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 1.0k papers — load more, or switch the sort, to bring in the rest.

#Work
1
The diagnosis of dementia due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Hit paper breakdown →
201113992
2
Kinetics of Adsorption on Carbon from Solution
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19638689
3
The Clinical Dementia Rating (CDR)
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19937954
4
Current Concepts in Mild Cognitive Impairment
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20013848
5
Decreased Clearance of CNS β-Amyloid in Alzheimer’s Disease
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20101659
6
Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory
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20051654
7
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
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19961356
8
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults
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20071313
9
Blood–brain barrier breakdown is an early biomarker of human cognitive dysfunction
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20191195
10
Alzheimer’s Disease: The Challenge of the Second Century
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20111130
11
A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume
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20041050
12
Consortium to establish a registry for Alzheimer's disease (CERAD) clinical and neuropsychological assessment of Alzheimer's disease.
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1988980
13
Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humans
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2005963
14
Human apoE Isoforms Differentially Regulate Brain Amyloid-β Peptide Clearance
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2011897
15
[ 11 C]PIB in a nondemented population
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2006834
16
The AD8
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2005826
17
The Acid Ionization Constant of HOCl from 5 to 35°
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1966816
18
The Uniform Data Set (UDS): Clinical and Cognitive Variables and Descriptive Data From Alzheimer Disease Centers
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2006725
19
Mild Cognitive Impairment as a Clinical Entity and Treatment Target
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2005720
20
The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
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2013707

About John C. Morris

John C. Morris is a scholar working on Psychiatry and Mental health, Physiology, Cognitive Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 1.0k papers that have together received 118.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (378 papers), Alzheimer's disease research and treatments (217 papers), Functional Brain Connectivity Studies (74 papers), Thyroid Cancer Diagnosis and Treatment (61 papers), Advanced Neuroimaging Techniques and Applications (47 papers), Older Adults Driving Studies (37 papers), Health Systems, Economic Evaluations, Quality of Life (28 papers) and Thyroid Disorders and Treatments (27 papers). The work is most often cited by research in Psychiatry and Mental health (39.4k citations), Neurology (11.2k citations), Physiology (31.8k citations), Biological Psychiatry (2.3k citations) and Cognitive Neuroscience (18.4k citations). John C. Morris has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Walter J. Weber, David M. Holtzman, Anne M. Fagan, Richard C. Mohs, Catherine M. Roe, Martin N. Rossor, William E. Klunk, Daniel W. McKeel, Mark A. Mintun and Randy L. Buckner. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Alzheimer Disease & Associated Disorders, Journal of Alzheimer s Disease and Neurobiology of Aging.

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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