Jeffrey L. Dage
- Physiology top 0.2%
- Psychiatry and Mental health top 0.2%
- Molecular Biology top 5%
- Neurology top 0.5%
- Neurology top 2%
- Co-authors
- Oskar HanssonNiklas MattssonSebastian PalmqvistErik StomrudKaj BlennowShorena JanelidzeXiyun ChaiHenrik Zetterberg
- Topics
- Alzheimer's disease research and treatments (58 papers)Dementia and Cognitive Impairment Research (54 papers)Functional Brain Connectivity Studies (7 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Jeffrey L. Dage
68 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Physiology 4.3k
- Psychiatry and Mental health 3.5k
- Molecular Biology 1.4k
- Neurology 1.2k
- Neurology 588
Countries citing papers authored by Jeffrey L. Dage
This map shows the geographic impact of Jeffrey L. Dage'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 Jeffrey L. Dage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey L. Dage more than expected).
Fields of papers citing papers by Jeffrey L. Dage
This network shows the impact of papers produced by Jeffrey L. Dage. 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 Jeffrey L. Dage. The network helps show where Jeffrey L. Dage may publish in the future.
Co-authorship network of co-authors of Jeffrey L. Dage
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey L. Dage. A scholar is included among the top collaborators of Jeffrey L. Dage 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 Jeffrey L. Dage. Jeffrey L. Dage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | Blood-based biomarkers for Alzheimer’s disease: Current state and future use in a transformed global healthcare landscapebreakdown → | 121 |
| 12 | Blood biomarkers for Alzheimer’s disease in clinical practice and trialsbreakdown → | 196 |
| 13 | 1 | |
| 14 | Performance of plasma phosphorylated tau 181 and 217 in the communitybreakdown → | 246 |
| 15 | Plasma biomarkers of Alzheimer’s disease improve prediction of cognitive decline in cognitively unimpaired elderly populationsbreakdown → | 171 |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 177 | |
| 19 | 21 | |
| 20 | 32 |
About Jeffrey L. Dage
Jeffrey L. Dage is a scholar working on Psychiatry and Mental health, Physiology and Neurology, having authored 82 papers that have together received 6.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (58 papers), Dementia and Cognitive Impairment Research (54 papers) and Functional Brain Connectivity Studies (7 papers). The work is most often cited by research in Psychiatry and Mental health (3.5k citations), Physiology (4.3k citations) and Neurology (1.2k citations). Jeffrey L. Dage has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Oskar Hansson, Niklas Mattsson, Sebastian Palmqvist, Erik Stomrud, Kaj Blennow, Shorena Janelidze, Xiyun Chai, Henrik Zetterberg, Ruben Smith and Nicholas K. Proctor. Their work appears in journals such as Nature Medicine, Nature Communications and Neuron.
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.