Deborah Blacker

36.2k total citations · 5 hit papers
188 papers, 22.1k citations indexed

About

Deborah Blacker is a scholar working on Psychiatry and Mental health, Physiology and Genetics. According to data from OpenAlex, Deborah Blacker has authored 188 papers receiving a total of 22.1k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Psychiatry and Mental health, 51 papers in Physiology and 28 papers in Genetics. Recurrent topics in Deborah Blacker's work include Dementia and Cognitive Impairment Research (89 papers), Alzheimer's disease research and treatments (42 papers) and Health Systems, Economic Evaluations, Quality of Life (27 papers). Deborah Blacker is often cited by papers focused on Dementia and Cognitive Impairment Research (89 papers), Alzheimer's disease research and treatments (42 papers) and Health Systems, Economic Evaluations, Quality of Life (27 papers). Deborah Blacker collaborates with scholars based in United States, France and United Kingdom. Deborah Blacker's co-authors include Marilyn Albert, Bradley T. Hyman, Ronald Killiany, Bradford C. Dickerson, Bruce Fischl, Anders M. Dale, Rahul S. Desikan, Brian T. Quinn, R. P. Maguire and Randy L. Buckner and has published in prestigious journals such as Science, New England Journal of Medicine and Nature Communications.

In The Last Decade

Deborah Blacker

180 papers receiving 21.8k citations

Hit Papers

5 papers align trajectories

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.

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

2006 9.3k citations Deborah Blacker, Bradley T. Hyman et al. NeuroImage profile →
Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database

2006 1.4k citations Deborah Blacker, Rudolph E. Tanzi et al. profile →
Increased hippocampal activation in mild cognitive impairment compared to normal aging and AD

2005 688 citations Dorene M. Rentz, Rudolph E. Tanzi et al. Neurology profile →
Classifying neurocognitive disorders: the DSM-5 approach

2014 653 citations Deborah Blacker et al. profile →
Alpha-2 macroglobulin is genetically associated with Alzheimer disease

1998 518 citations Deborah Blacker, Bradley T. Hyman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deborah Blacker United States	57	9.0k	7.3k	5.8k	4.5k	2.5k	188	22.1k
Sterling C. Johnson United States	79	7.1k 0.8×	6.9k 0.9×	7.8k 1.3×	3.7k 0.8×	4.0k 1.6×	530	24.8k
Andrew Simmons United Kingdom	85	11.3k 1.3×	6.9k 0.9×	3.0k 0.5×	6.3k 1.4×	2.1k 0.8×	293	23.4k
Kewei Chen United States	76	7.0k 0.8×	6.9k 0.9×	8.2k 1.4×	4.7k 1.0×	2.4k 1.0×	532	22.6k
Bradford C. Dickerson United States	63	14.3k 1.6×	8.5k 1.2×	5.4k 0.9×	6.5k 1.4×	1.8k 0.7×	253	25.8k
Ronald Killiany United States	51	13.6k 1.5×	7.3k 1.0×	4.1k 0.7×	8.4k 1.9×	1.3k 0.5×	135	25.6k
Andrew J. Saykin United States	98	9.4k 1.0×	12.5k 1.7×	7.3k 1.3×	4.1k 0.9×	5.8k 2.3×	757	35.0k
Charles DeCarli United States	90	4.3k 0.5×	9.5k 1.3×	6.6k 1.1×	3.8k 0.8×	2.3k 0.9×	447	23.9k
Peter J. Snyder United States	57	5.4k 0.6×	9.3k 1.3×	6.2k 1.1×	1.8k 0.4×	2.1k 0.8×	217	21.1k
Giovanni B. Frisoni Italy	85	10.5k 1.2×	12.4k 1.7×	10.6k 1.8×	5.0k 1.1×	3.6k 1.4×	545	30.4k
Prashanthi Vemuri United States	76	6.8k 0.8×	12.0k 1.6×	10.8k 1.8×	4.3k 0.9×	2.0k 0.8×	336	22.1k

Countries citing papers authored by Deborah Blacker

Since Specialization

Citations

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

Fields of papers citing papers by Deborah Blacker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deborah Blacker. 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 Deborah Blacker. The network helps show where Deborah Blacker may publish in the future.

Co-authorship network of co-authors of Deborah Blacker

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Blacker. A scholar is included among the top collaborators of Deborah Blacker 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 Deborah Blacker. Deborah Blacker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Braun, Danielle, Xiao Wu, Maayan Yitshak‐Sade, et al.. (2025). The impacts of air pollution on mortality and hospital readmission among Medicare beneficiaries with Alzheimer's disease and Alzheimer's disease-related dementias: a national retrospective cohort study in the USA. The Lancet Planetary Health. 9(2). e114–e123. 1 indexed citations

Magdamo, Colin, Bradley T. Hyman, John R. Dickson, et al.. (2025). Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study. JMIR Aging. 8. e65178–e65178. 1 indexed citations

Sun, Shuo, Louisa H. Smith, Joseph P. Newhouse, et al.. (2025). Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke. Neurology Clinical Practice. 15(3). e200452–e200452.

Hsu, John, Mary Price, Deborah Blacker, et al.. (2025). Differences in patterns of outpatient epilepsy‐specific medication initiation after acute ischemic stroke in the Medicare population. Epilepsia. 66(8). 2728–2742.

Chibnik, Lori B., et al.. (2024). DNA Methylation Mediates the Association Between Cardiometabolic Risk Factors and Cognition: Findings From the Health and Retirement Study. The Journals of Gerontology Series A. 79(8). 3 indexed citations

Sun, Shuo, John Hsu, Mary Price, et al.. (2024). Benzodiazepine Utilization in Ischemic Stroke Survivors: Analyzing Initial Excess Supply and Longitudinal Trends. Stroke. 55(11). 2694–2702.

Magdamo, Colin, John R. Dickson, M. Brandon Westover, et al.. (2024). Evaluating Sociodemographic Bias in an Artificial Intelligence Algorithm to Detect Cognitive Impairment in Electronic Health Records. Alzheimer s & Dementia. 20(S4).

Ma, Yuan, Yiwen Zhang, Josef Coresh, et al.. (2023). Orthostatic Blood Pressure Change, Dizziness, and Risk of Dementia in the ARIC Study. Hypertension. 81(1). 96–106. 5 indexed citations

Christine, Chadwick W., Kjetil Bjørnevik, Samantha Molsberry, et al.. (2023). Long‐Term Intake of Folate, Vitamin B6, and Vitamin B12 and the Incidence of Parkinson's Disease in a Sample of U.S. Women and Men. Movement Disorders. 38(5). 866–879. 12 indexed citations

10.

Moura, Lidia M.V.R., Zhiyu Yan, Louisa H. Smith, et al.. (2022). Comparative Effectiveness and Safety of Seizure Prophylaxis Among Adults After Acute Ischemic Stroke. Stroke. 54(2). 527–536. 6 indexed citations

11.

Moura, Lidia M.V.R., Zhiyu Yan, Louisa H. Smith, et al.. (2022). No short-term mortality from benzodiazepine use post-acute ischemic stroke after accounting for bias. Journal of Clinical Epidemiology. 154. 136–145. 2 indexed citations

12.

Ma, Yuan, Deborah Blacker, Anand Viswanathan, et al.. (2021). Visit-to-Visit Blood Pressure Variability, Neuropathology, and Cognitive Decline. Neurology. 96(23). e2812–e2823. 39 indexed citations

13.

Chang, Shun‐Chiao, Wei Wang, Naomi M. Simon, et al.. (2019). The relation of telomere length at midlife to subsequent 20‐year depression trajectories among women. Depression and Anxiety. 36(6). 565–575. 11 indexed citations

14.

Lin, Kuang, Chia‐Yen Chen, Döst Öngür, et al.. (2018). Polygenic pleiotropy and potential causal relationships between educational attainment, neurobiological profile, and positive psychotic symptoms. Translational Psychiatry. 8(1). 97–97. 7 indexed citations

15.

Charidimou, Andreas, Deborah Blacker, & Anand Viswanathan. (2017). Context is everything: From cardiovascular disease to cerebral microbleeds. International Journal of Stroke. 13(1). 6–10. 5 indexed citations

16.

Culley, Deborah J., Devon Flaherty, Margaret C. Fahey, et al.. (2016). Preoperative Cognitive Stratification of Older Elective Surgical Patients: A Cross-Sectional Study. Anesthesia & Analgesia. 123(1). 186–192. 72 indexed citations

17.

Sajeev, Gautam, Jennifer Weuve, John W. Jackson, et al.. (2016). Late-life Cognitive Activity and Dementia. Epidemiology. 27(5). 732–742. 45 indexed citations

18.

Rentz, Dorene M., Maria Dekhtyar, Samantha C. Burnham, et al.. (2015). THE FEASIBILITY OF AT-HOME IPAD COGNITIVE TESTING FOR USE IN CLINICAL TRIALS. The Journal of Prevention of Alzheimer s Disease. 3(1). 1–5. 46 indexed citations

19.

Dagley, Alexander, Molly R. LaPoint, Willem Huijbers, et al.. (2015). Harvard Aging Brain Study: Dataset and accessibility. NeuroImage. 144(Pt B). 255–258. 118 indexed citations

20.

Nitsch, Roger M., Steven M. Greenberg, Ulrich Finckh, et al.. (1998). Genetic association of an ( 2-macroglobulin (Val1000lle) polymorphism and Alzheimer's disease. Human Molecular Genetics. 7(12). 1953–1956. 128 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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