Bradford C. Dickerson

42.9k total citations · 6 hit papers
253 papers, 25.8k citations indexed

About

Bradford C. Dickerson is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Bradford C. Dickerson has authored 253 papers receiving a total of 25.8k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Cognitive Neuroscience, 129 papers in Psychiatry and Mental health and 71 papers in Physiology. Recurrent topics in Bradford C. Dickerson's work include Dementia and Cognitive Impairment Research (112 papers), Functional Brain Connectivity Studies (85 papers) and Alzheimer's disease research and treatments (65 papers). Bradford C. Dickerson is often cited by papers focused on Dementia and Cognitive Impairment Research (112 papers), Functional Brain Connectivity Studies (85 papers) and Alzheimer's disease research and treatments (65 papers). Bradford C. Dickerson collaborates with scholars based in United States, Canada and United Kingdom. Bradford C. Dickerson's co-authors include Marilyn Albert, Ronald Killiany, Bruce Fischl, Deborah Blacker, Anders M. Dale, Bradley T. Hyman, R. P. Maguire, Randy L. Buckner, Brian T. Quinn and Rahul S. Desikan and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Bradford C. Dickerson

243 papers receiving 25.5k citations

Hit Papers

An automated labeling system for subdividing the human ce... 2006 2026 2012 2019 2006 2006 2006 2015 2021 2.5k 5.0k 7.5k
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. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
    2006 9.3k citations Bruce Fischl, Bradford C. Dickerson et al. profile →
  2. Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer
    2006 1.2k citations David H. Salat, Jenni Pacheco et al. profile →
  3. Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis
    2006 577 citations Bradford C. Dickerson, Alireza Atri et al. Journal of Neuroscience profile →
  4. Validating novel tau positron emission tomography tracer [F‐18]‐AV‐1451 (T807) on postmortem brain tissue
    2015 450 citations Bradford C. Dickerson, John H. Growdon et al. profile →
  5. New insights into atypical Alzheimer's disease in the era of biomarkers
    2021 401 citations Liana G. Apostolova, María C. Carrillo et al. profile →
  6. Evidence for a large-scale brain system supporting allostasis and interoception in humans
    2017 348 citations Alexandra Touroutoglou, Bradford C. Dickerson 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
Bradford C. Dickerson United States 63 14.3k 8.5k 6.5k 5.4k 2.5k 253 25.8k
Ronald Killiany United States 51 13.6k 1.0× 7.3k 0.9× 8.4k 1.3× 4.1k 0.8× 2.2k 0.9× 135 25.6k
Andrew Simmons United Kingdom 85 11.3k 0.8× 6.9k 0.8× 6.3k 1.0× 3.0k 0.6× 1.9k 0.7× 293 23.4k
Susan M. Resnick United States 91 9.2k 0.6× 7.8k 0.9× 4.6k 0.7× 6.1k 1.1× 1.5k 0.6× 509 29.1k
Nikos Makris United States 79 16.9k 1.2× 8.7k 1.0× 9.9k 1.5× 2.4k 0.4× 2.5k 1.0× 301 31.7k
Marilyn Albert United States 72 17.5k 1.2× 13.1k 1.6× 9.5k 1.5× 8.3k 1.5× 2.7k 1.1× 221 37.0k
Michael D. Greicius United States 53 26.7k 1.9× 6.2k 0.7× 9.3k 1.4× 3.9k 0.7× 2.2k 0.9× 124 34.7k
Brigitte Landeau France 45 13.5k 0.9× 5.2k 0.6× 5.3k 0.8× 3.0k 0.6× 1.4k 0.5× 116 20.0k
Joel H. Kramer United States 90 10.4k 0.7× 11.8k 1.4× 3.8k 0.6× 7.8k 1.5× 5.3k 2.1× 473 28.9k
Deborah Blacker United States 57 9.0k 0.6× 7.3k 0.9× 4.5k 0.7× 5.8k 1.1× 1.7k 0.7× 188 22.1k
David H. Salat United States 71 14.7k 1.0× 7.9k 0.9× 11.2k 1.7× 4.4k 0.8× 4.6k 1.8× 263 30.6k

Countries citing papers authored by Bradford C. Dickerson

Since Specialization
Citations

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

Fields of papers citing papers by Bradford C. Dickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradford C. Dickerson. 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 Bradford C. Dickerson. The network helps show where Bradford C. Dickerson may publish in the future.

Co-authorship network of co-authors of Bradford C. Dickerson

This figure shows the co-authorship network connecting the top 25 collaborators of Bradford C. Dickerson. A scholar is included among the top collaborators of Bradford C. Dickerson 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 Bradford C. Dickerson. Bradford C. Dickerson 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.
Fu, Jessie Fanglu, Meher R. Juttukonda, Cristina Lois, et al.. (2025). [18F]MK-6240 Radioligand Delivery Indices as Surrogates of Cerebral Perfusion: Bias and Correlation Against [15O]Water. Journal of Nuclear Medicine. 66(3). 410–417. 1 indexed citations
2.
Ozdemir, Recep A., Jessica M. Ross, Debby Klooster, et al.. (2025). Preoperative parietal TMS-EEG hyperexcitability in patients with subsequent postoperative delirium. Brain stimulation. 18(1). 609–610.
3.
Mintz, G, Edward R. Marcantonio, Jeremy Walston, et al.. (2024). Inflammatory Indices and Their Associations With Postoperative Delirium. The Journals of Gerontology Series A. 80(1).
4.
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6.
Zanotti‐Fregonara, Paolo, Alireza Faridar, Mohammad Obadah Nakawah, et al.. (2024). Brain inflammation co-localizes highly with tau in mild cognitive impairment due to early-onset Alzheimer’s disease. Brain. 148(1). 119–132. 21 indexed citations
7.
Katsumi, Yuta, Ryan Eckbo, Bonnie Wong, et al.. (2024). Default mode network tau predicts future clinical decline in atypical early Alzheimer’s disease. Brain. 148(4). 1329–1344. 6 indexed citations
8.
Hochberg, Daisy, et al.. (2023). Quantifying three types of abnormal language in semantic variant primary progressive aphasia. Alzheimer s & Dementia. 19(S4). 1 indexed citations
9.
Parsons, Michael, Ryan Eckbo, Yuta Katsumi, et al.. (2023). NCOG-34. BRAIN PET IMAGING OF PAIRED HELICAL FILAMENT TAU IN OLDER ADULTS WITH CANCER: PILOT STUDY TO IDENTIFY MECHANISMS OF COGNITIVE IMPAIRMENT AFTER CANCER THERAPY. Neuro-Oncology. 25(Supplement_5). v221–v221. 1 indexed citations
10.
Antal, Botond, Syed Fahad Sultan, Deborah J. Wexler, et al.. (2022). Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses. eLife. 11. 112 indexed citations
11.
Collins, Jessica A., Megan Quimby, Daisy Hochberg, et al.. (2021). Neural substrates of verbal repetition deficits in primary progressive aphasia. Brain Communications. 3(1). fcab015–fcab015. 11 indexed citations
12.
Jones, Richard N., Douglas Tommet, Jon A. Steingrimsson, et al.. (2021). Development and internal validation of a predictive model of cognitive decline 36 months following elective surgery. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12201–e12201. 3 indexed citations
13.
Shao, Yu Raymond, Pegah Kahali, Timothy T. Houle, et al.. (2020). Low Frontal Alpha Power Is Associated With the Propensity for Burst Suppression: An Electroencephalogram Phenotype for a “Vulnerable Brain”. Anesthesia & Analgesia. 131(5). 1529–1539. 59 indexed citations
14.
Silva, M. Catarina, Sharon Tentarelli, Ian Gurrell, et al.. (2020). Prolonged tau clearance and stress vulnerability rescue by pharmacological activation of autophagy in tauopathy neurons. Nature Communications. 11(1). 3258–3258. 102 indexed citations
15.
Bejanin, Alexandre, Gabe Marx, Yann Cobigo, et al.. (2020). Longitudinal structural and metabolic changes in frontotemporal dementia. Neurology. 95(2). e140–e154. 39 indexed citations
16.
Katsumi, Yuta, et al.. (2019). Intrinsic Functional Connectivity is Organized as Three Interdependent Gradients. Scientific Reports. 9(1). 15976–15976. 33 indexed citations
17.
Atzil, Shir, Alexandra Touroutoglou, Stephanie Salcedo, et al.. (2017). Dopamine in the medial amygdala network mediates human bonding. Proceedings of the National Academy of Sciences. 114(9). 2361–2366. 102 indexed citations
18.
Seo, Jinsoo, Oleg Kritskiy, L. Ashley Watson, et al.. (2017). Inhibition of p25/Cdk5 Attenuates Tauopathy in Mouse and iPSC Models of Frontotemporal Dementia. Journal of Neuroscience. 37(41). 9917–9924. 120 indexed citations
19.
Förster, Stefan, Timo Grimmer, Isabelle Miederer, et al.. (2011). Regional Expansion of Hypometabolism in Alzheimer's Disease Follows Amyloid Deposition with Temporal Delay. Biological Psychiatry. 71(9). 792–797. 75 indexed citations
20.

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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