James R. Burke
- Molecular Biology top 2%
- Psychiatry and Mental health top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 1%
- Neurology top 0.5%
- Co-authors
- Brenda L. PlassmanWarren J. StrittmatterDavid C. SteffensKathleen A. Welsh‐BohmerGuy G. PotterKenneth M. LangaGwenith G. FisherRobert B. Wallace
- Topics
- Dementia and Cognitive Impairment Research (54 papers)Genetic Neurodegenerative Diseases (24 papers)Alzheimer's disease research and treatments (20 papers)
- Cited by
- Psychiatry and Mental healthCellular and Molecular NeuroscienceNeuropsychology and Physiological Psychology
- Partner nations
- United StatesJapanAustralia
In The Last Decade
James R. Burke
128 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 2.9k
- Psychiatry and Mental health 2.4k
- Cellular and Molecular Neuroscience 2.0k
- Physiology 2.0k
- Neurology 1.5k
Countries citing papers authored by James R. Burke
This map shows the geographic impact of James R. Burke'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 James R. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James R. Burke more than expected).
Fields of papers citing papers by James R. Burke
This network shows the impact of papers produced by James R. Burke. 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 James R. Burke. The network helps show where James R. Burke may publish in the future.
Co-authorship network of co-authors of James R. Burke
This figure shows the co-authorship network connecting the top 25 collaborators of James R. Burke. A scholar is included among the top collaborators of James R. Burke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James R. Burke. James R. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 80 | |
| 4 | Deep learning algorithm for diagnosis of Alzheimer’s disease using multimodal retinal imaging | 2 |
| 5 | 81 | |
| 6 | 27 | |
| 7 | 3 | |
| 8 | Retinal imaging biomarkers for early diagnosis of Alzheimer’s disease | 1 |
| 9 | 7 | |
| 10 | 43 | |
| 11 | 59 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 91 | |
| 15 | 37 | |
| 16 | 105 | |
| 17 | Prevalence of Dementia in the United States: The Aging, Demographics, and Memory Studybreakdown → | 1390 |
| 18 | 24 | |
| 19 | 78 | |
| 20 | Diagnosis of Alzheimer's disease in epidemiologic studies by staged review of clinical data | 5 |
About James R. Burke
James R. Burke is a scholar working on Psychiatry and Mental health, Geriatrics and Gerontology and Cellular and Molecular Neuroscience, having authored 130 papers that have together received 8.8k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (54 papers), Genetic Neurodegenerative Diseases (24 papers) and Alzheimer's disease research and treatments (20 papers). The work is most often cited by research in Psychiatry and Mental health (2.4k citations), Cellular and Molecular Neuroscience (2.0k citations) and Neuropsychology and Physiological Psychology (156 citations). James R. Burke has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Brenda L. Plassman, Warren J. Strittmatter, David C. Steffens, Kathleen A. Welsh‐Bohmer, Guy G. Potter, Kenneth M. Langa, Gwenith G. Fisher, Robert B. Wallace, David R. Weir and Steven G. Heeringa. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
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.