Steven T. DeKosky
- Psychiatry and Mental health top 0.01%
- Physiology top 0.01%
- Cognitive Neuroscience top 0.05%
- Neurology top 0.02%
- Neurology top 0.01%
- Co-authors
- Stephen W. ScheffOscar L. LópezRonald C. PetersenJeffrey L. CummingsWilliam E. KlunkHoward FeldmanBruno DuboisMary Ganguli
- Topics
- Dementia and Cognitive Impairment Research (218 papers)Alzheimer's disease research and treatments (215 papers)Traumatic Brain Injury and Neurovascular Disturbances (58 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Steven T. DeKosky
542 papers receiving 62.3k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Psychiatry and Mental health 29.5k
- Physiology 25.4k
- Cognitive Neuroscience 11.8k
- Neurology 9.6k
- Neurology 9.2k
Countries citing papers authored by Steven T. DeKosky
This map shows the geographic impact of Steven T. DeKosky'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 Steven T. DeKosky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven T. DeKosky more than expected).
Fields of papers citing papers by Steven T. DeKosky
This network shows the impact of papers produced by Steven T. DeKosky. 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 Steven T. DeKosky. The network helps show where Steven T. DeKosky may publish in the future.
Co-authorship network of co-authors of Steven T. DeKosky
This figure shows the co-authorship network connecting the top 25 collaborators of Steven T. DeKosky. A scholar is included among the top collaborators of Steven T. DeKosky 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 Steven T. DeKosky. Steven T. DeKosky 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 60 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 18 | |
| 11 | 69 | |
| 12 | 10 | |
| 13 | 38 | |
| 14 | 71 | |
| 15 | 5 | |
| 16 | Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's diseasebreakdown → | 618 |
| 17 | 107 | |
| 18 | Acetylcholinesterase changes in people with mild cognitive impairment implications for hippocampal plasticity | 2 |
| 19 | Gender-specific aging reductions in [11C-carbonyl] WAY100635 binding: Not an effect of atrophy | 1 |
| 20 | 188 |
About Steven T. DeKosky
Steven T. DeKosky is a scholar working on Psychiatry and Mental health, Physiology and Neurology, having authored 549 papers that have together received 64.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (218 papers), Alzheimer's disease research and treatments (215 papers) and Traumatic Brain Injury and Neurovascular Disturbances (58 papers). The work is most often cited by research in Psychiatry and Mental health (29.5k citations), Neurology (9.2k citations) and Physiology (25.4k citations). Steven T. DeKosky has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Stephen W. Scheff, Oscar L. López, Ronald C. Petersen, Jeffrey L. Cummings, William E. Klunk, Howard Feldman, Bruno Dubois, Mary Ganguli, Chester A. Mathis and David M. Holtzman. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.