Steven T. DeKosky

98.6k total citations · 25 hit papers
549 papers, 64.0k citations indexed

About

Steven T. DeKosky is a scholar working on Physiology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Steven T. DeKosky has authored 549 papers receiving a total of 64.0k indexed citations (citations by other indexed papers that have themselves been cited), including 228 papers in Physiology, 228 papers in Psychiatry and Mental health and 90 papers in Cognitive Neuroscience. Recurrent topics in Steven T. DeKosky's 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). Steven T. DeKosky is often cited by papers focused on Dementia and Cognitive Impairment Research (218 papers), Alzheimer's disease research and treatments (215 papers) and Traumatic Brain Injury and Neurovascular Disturbances (58 papers). Steven T. DeKosky collaborates with scholars based in United States, United Kingdom and France. Steven T. DeKosky's co-authors include Stephen W. Scheff, Oscar L. López, Ronald C. Petersen, Jeffrey L. Cummings, William E. Klunk, Bruno Dubois, Howard Feldman, Mary Ganguli, Chester A. Mathis and David M. Holtzman and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Steven T. DeKosky

542 papers receiving 62.3k citations

Hit Papers

The diagnosis of mild cognitive imp... 1990 2026 2002 2014 2011 2007 2013 1990 2001 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging‐Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
    2011 7.3k citations Steven T. DeKosky et al. Alzheimer s & Dementia profile →
  2. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria
    2007 3.2k citations Steven T. DeKosky et al. profile →
  3. The Diagnosis of Mild Cognitive Impairment due to Alzheimer’s Disease: Recommendations from the National Institute on Aging-Alzheimer’s Association Workgroups on Diagnostic Guidelines for Alzheimer’s Disease
    2013 2.2k citations Steven T. DeKosky et al. profile →
  4. Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
    1990 1.8k citations Steven T. DeKosky et al. Annals of Neurology profile →
  5. Practice parameter: Early detection of dementia: Mild cognitive impairment (an evidence-based review) [RETIRED]
    2001 1.6k citations Mary Ganguli, Steven T. DeKosky et al. profile →
  6. Prevalence of Neuropsychiatric Symptoms in Dementia and Mild Cognitive Impairment
    2002 1.6k citations Oscar L. López, Steven T. DeKosky et al. profile →
  7. Validation of the NPI-Q, a Brief Clinical Form of the Neuropsychiatric Inventory
    2000 1.4k citations Steven T. DeKosky et al. profile →
  8. Practice parameter: Management of dementia (an evidence-based review) [RETIRED]
    2001 1.3k citations Steven T. DeKosky et al. profile →
  9. Practice parameter: Diagnosis of dementia (an evidence-based review)
    2001 980 citations Steven T. DeKosky et al. profile →
  10. Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humans
    2005 960 citations William E. Klunk, Chester A. Mathis et al. Annals of Neurology profile →
  11. Treatment of Traumatic Brain Injury with Moderate Hypothermia
    1997 950 citations Donald W. Marion, Patrick M. Kochanek et al. profile →
  12. Vascular cognitive impairment
    2003 857 citations Steven T. DeKosky et al. profile →
  13. [ 11 C]PIB in a nondemented population
    2006 833 citations William E. Klunk, Chester A. Mathis et al. profile →
  14. Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly
    2008 799 citations Howard Aizenstein, Robert D. Nebes et al. Archives of Neurology profile →
  15. Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
    2008 681 citations Miloš D. Ikonomović, William E. Klunk et al. profile →
  16. Synaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment
    2007 636 citations Steven T. DeKosky, Elliott J. Mufson et al. profile →
  17. Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease
    2009 618 citations Eric M. Reiman, Kewei Chen et al. Proceedings of the National Academy of Sciences profile →
  18. Chronic Traumatic Encephalopathy in a National Football League Player
    2005 611 citations Steven T. DeKosky, Ryan L. Minster et al. profile →
  19. Upregulation of choline acetyltransferase activity in hippocampus and frontal cortex of elderly subjects with mild cognitive impairment
    2002 560 citations Steven T. DeKosky, Miloš D. Ikonomović et al. Annals of Neurology profile →
  20. Kinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
    2005 544 citations Julie C. Price, William E. Klunk et al. profile →
  21. Mild cognitive impairment, amnestic type
    2004 512 citations Mary Ganguli, Hiroko H. Dodge et al. profile →
  22. CHRONIC TRAUMATIC ENCEPHALOPATHY IN A NATIONAL FOOTBALL LEAGUE PLAYER
    2006 480 citations Steven T. DeKosky, Ronald L. Hamilton et al. profile →
  23. Vascular Cognitive Impairment
    2014 438 citations Steven T. DeKosky et al. profile →
  24. Recommendations for the Nomenclature of Cognitive Change Associated with Anaesthesia and Surgery—2018
    2018 410 citations Steven T. DeKosky et al. profile →
  25. The clinical promise of biomarkers of synapse damage or loss in Alzheimer’s disease
    2020 208 citations Steven T. DeKosky et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven T. DeKosky United States 111 29.5k 25.4k 11.8k 9.6k 9.2k 549 64.0k
Guy M. McKhann United States 90 26.7k 0.9× 22.7k 0.9× 14.1k 1.2× 10.8k 1.1× 8.0k 0.9× 452 67.9k
Martin N. Rossor United Kingdom 102 23.7k 0.8× 23.6k 0.9× 13.2k 1.1× 9.5k 1.0× 9.5k 1.0× 475 55.1k
Yaakov Stern United States 132 30.6k 1.0× 18.1k 0.7× 17.3k 1.5× 8.5k 0.9× 7.4k 0.8× 795 67.4k
Richard Mayeux United States 106 19.9k 0.7× 21.3k 0.8× 7.4k 0.6× 7.4k 0.8× 7.3k 0.8× 518 52.7k
Nick C. Fox United Kingdom 115 22.7k 0.8× 21.8k 0.9× 14.0k 1.2× 9.4k 1.0× 9.4k 1.0× 561 52.8k
Michael W. Weiner United States 132 30.7k 1.0× 27.8k 1.1× 19.9k 1.7× 8.2k 0.9× 10.4k 1.1× 890 71.2k
William J. Jagust United States 114 32.4k 1.1× 27.9k 1.1× 20.3k 1.7× 5.4k 0.6× 9.8k 1.1× 481 61.5k
David S. Knopman United States 142 47.4k 1.6× 40.8k 1.6× 23.0k 2.0× 14.2k 1.5× 14.8k 1.6× 1.0k 94.0k
Bradley F. Boeve United States 123 21.9k 0.7× 20.9k 0.8× 16.7k 1.4× 18.2k 1.9× 7.5k 0.8× 643 52.6k
Bengt Winblad Sweden 144 23.3k 0.8× 27.8k 1.1× 7.7k 0.7× 5.7k 0.6× 9.2k 1.0× 1.2k 79.5k

Countries citing papers authored by Steven T. DeKosky

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Donahoo, William T., et al.. (2025). Continuous Glucose Monitoring in Insulin-Treated Older Adults With Diabetes and Alzheimer Disease and Related Dementias. JAMA Network Open. 8(12). e2541939–e2541939.
2.
Wei, Yu‐Jung Jenny, Almut G. Winterstein, Siegfried Schmidt, et al.. (2025). Outcomes of Discontinuing Long-Term Opioid Therapy among Older Cancer Survivors in Long-Term Care Settings. Journal of the American Medical Directors Association. 26(4). 105522–105522.
3.
Zheng, D. Diane, Rosie E. Curiel, Elizabeth Crocco, et al.. (2024). Failure to recover from proactive semantic interference predicts trajectory of decline in everyday function among older adults with amnestic mild cognitive impairment. International Psychogeriatrics. 37(2). 100005–100005. 1 indexed citations
4.
Tang, Huilin, William T. Donahoo, Mikael Svensson, et al.. (2024). Heterogeneous treatment effects of sodium‐glucose cotransporter 2 inhibitors on risk of dementia in people with type 2 diabetes: A population‐based cohort study. Alzheimer s & Dementia. 20(8). 5528–5539. 15 indexed citations
5.
Li, Qian, Xi Yang, Jie Xu, et al.. (2023). Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records. Alzheimer s & Dementia. 19(8). 3506–3518. 51 indexed citations
6.
Tang, Huilin, Hui Shao, C. Elizabeth Shaaban, et al.. (2023). Newer glucose‐lowering drugs and risk of dementia: A systematic review and meta‐analysis of observational studies. Journal of the American Geriatrics Society. 71(7). 2096–2106. 60 indexed citations
7.
Martin, Harold, Parisa Forouzannezhad, Mercedes Cabrerizo, et al.. (2023). Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer’s Disease. Cognitive Computation. 15(6). 2062–2086. 3 indexed citations
8.
Poole, Victoria N., Brad Manor, Ikechukwu Iloputaife, et al.. (2016). NUMBER OF STEPS NEEDED FOR RELIABLE GAIT VARIABILITY MEASUREMENT. The Gerontologist. 56(Suppl_3). 335–336. 10 indexed citations
9.
Asken, Breton M., Molly J. Sullan, Aliyah Snyder, et al.. (2016). Factors Influencing Clinical Correlates of Chronic Traumatic Encephalopathy (CTE): a Review. Neuropsychology Review. 26(4). 340–363. 57 indexed citations
10.
Gasperi, Rita De, Miguel A. Gama Sosa, Soong Ho Kim, et al.. (2012). Acute Blast Injury Reduces Brain Abeta in Two Rodent Species. Frontiers in Neurology. 3. 177–177. 38 indexed citations
11.
Reiman, Eric M., Kewei Chen, Xiaofen Liu, et al.. (2009). Fibrillar amyloid-β burden in cognitively normal people at 3 levels of genetic risk for Alzheimer's disease. Proceedings of the National Academy of Sciences. 106(16). 6820–6825. 618 indexed citations breakdown →
12.
Lingler, Jennifer H., Karen B. Hirschman, Linda Garand, et al.. (2008). Frequency and Correlates of Advance Planning Among Cognitively Impaired Older Adults. American Journal of Geriatric Psychiatry. 16(8). 643–649. 38 indexed citations
13.
Conley, Yvette P., Ankur Mukherjee, Candace M. Kammerer, et al.. (2008). Evidence supporting a role for the calcium‐sensing receptor in Alzheimer disease. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 150B(5). 703–709. 38 indexed citations
14.
Sundar, Purnima, Eleanor Feingold, Ryan L. Minster, Steven T. DeKosky, & M. Ilyas Kamboh. (2006). Gender-specific association of ATP-binding cassette transporter 1 (ABCA1) polymorphisms with the risk of late-onset Alzheimer's disease. Neurobiology of Aging. 28(6). 856–862. 64 indexed citations
15.
Bayır, Hülya, Bengt Fadeel, Michael J. Palladino, et al.. (2006). Apoptotic interactions of cytochrome c: Redox flirting with anionic phospholipids within and outside of mitochondria. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1757(5-6). 648–659. 147 indexed citations
16.
Sweet, Robert A., Ronald L. Hamilton, Meryl A. Butters, et al.. (2004). Neuropathologic Correlates of Late-Onset Major Depression. Neuropsychopharmacology. 29(12). 2242–2250. 82 indexed citations
17.
Pandav, Rajesh, Hiroko H. Dodge, Steven T. DeKosky, & Mary Ganguli. (2003). Blood Pressure and Cognitive Impairment in India and the United States. Archives of Neurology. 60(8). 1123–1123. 47 indexed citations
18.
Ikonomović, Miloš D., Elliott J. Mufson, Elizabeth J. Cochran, Derrick Bennett, & Steven T. DeKosky. (2002). Acetylcholinesterase changes in people with mild cognitive impairment implications for hippocampal plasticity. 8826. 2 indexed citations
19.
Aizenstein, Howard, Robert D. Nebes, Carolyn C. Meltzer, et al.. (2002). The relation of White Matter Hyperintensities to implicit learning in healthy older adults. International Journal of Geriatric Psychiatry. 17(7). 664–669. 24 indexed citations
20.
DeKosky, Steven T., Scot Styren, Mark E. O’Malley, et al.. (1996). Interleukm‐1 receptor antagonist suppresses neurotrophin response in injured rat brain. Annals of Neurology. 39(1). 123–127. 84 indexed citations

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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