Ann D. Cohen

10.6k total citations · 1 hit paper
127 papers, 4.2k citations indexed

About

Ann D. Cohen is a scholar working on Psychiatry and Mental health, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Ann D. Cohen has authored 127 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Psychiatry and Mental health, 51 papers in Physiology and 36 papers in Cognitive Neuroscience. Recurrent topics in Ann D. Cohen's work include Dementia and Cognitive Impairment Research (85 papers), Alzheimer's disease research and treatments (50 papers) and Functional Brain Connectivity Studies (33 papers). Ann D. Cohen is often cited by papers focused on Dementia and Cognitive Impairment Research (85 papers), Alzheimer's disease research and treatments (50 papers) and Functional Brain Connectivity Studies (33 papers). Ann D. Cohen collaborates with scholars based in United States, United Kingdom and Spain. Ann D. Cohen's co-authors include William E. Klunk, Chester A. Mathis, Beth E. Snitz, Julie C. Price, Howard Aizenstein, Steven T. DeKosky, Oscar L. López, Michael J. Zigmond, Jennifer L. Tillerson and Timothy Schallert and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain.

In The Last Decade

Ann D. Cohen

114 papers receiving 4.1k citations

Hit 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.

Frequent Amyloid Deposition Without Significant Cognitive Impairment Among the Elderly

2008 799 citations Howard Aizenstein, Robert D. Nebes et al. profile →

Peers

Ann D. Cohen

PMH

PHYSI

NEURO

RNMI

Eric McDade United States

Claudia Jacova Canada

William Jagust United States

Ricardo S. Osorio United States

Abhay Moghekar United States

Elizabeth Pirraglia United States

Lidia Glodzik United States

Samuel N. Lockhart United States

Wai Hon Tsui United States

Samantha C. Burnham Australia

Eric McDade United States

Ann D. Cohen

2.0k ×1.0

PMH

1.8k ×0.9

PHYSI

978 ×1.0

486 ×0.7

NEURO

480 ×0.8

RNMI

Citations per year, relative to Ann D. Cohen Ann D. Cohen (= 1×) peers Eric McDade

Countries citing papers authored by Ann D. Cohen

Since Specialization

Citations

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

Fields of papers citing papers by Ann D. Cohen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann D. Cohen. 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 Ann D. Cohen. The network helps show where Ann D. Cohen may publish in the future.

Co-authorship network of co-authors of Ann D. Cohen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Albert, Adelin, Anuradha Sehrawat, M. Carmen Fariñas, et al.. (2025). Equivalence of Plasma and Serum for Clinical Measurement of p‐tau217: Comparative Analyses of Four Blood‐Based Assays. Journal of Neurochemistry. 169(7). e70114–e70114. 3 indexed citations

Santini, Tales, Jr‐Jiun Liou, Ann D. Cohen, et al.. (2025). Brain Morphometrics Correlations With Age Among 350 Participants Imaged With Both 3T and 7T MRI: 7T Improves Statistical Power and Reduces Required Sample Size. Human Brain Mapping. 46(4). e70195–e70195. 1 indexed citations

Swanson, Justin, Yue‐Fang Chang, Kevin E. Kip, et al.. (2025). Midlife ICAM-1 levels may predict cardiovascular disease and cognitive decline in latelife: Insights from the HeartSCORE study. PubMed. 62. 15–20.

Saeed, Anum, Yue-Fang Chang, Justin Swanson, et al.. (2025). Association of mid-life cardiovascular risk with biomarkers of Alzheimer's disease, neurodegeneration, and white matter hyperintensities: Heart SCORE brain study. Journal of Alzheimer s Disease Reports. 9. 4123415905–4123415905. 2 indexed citations

Gogola, Alexandra, Xuemei Zeng, Anum Saeed, et al.. (2025). Impact of racialization on neuroimaging and plasma biomarkers of Alzheimer's disease. Alzheimer s & Dementia. 21(7). e70463–e70463.

Zeng, Xuemei, Anuradha Sehrawat, James Boslett, et al.. (2024). Effect of blood collection tube containing protease inhibitors on the pre‐analytical stability of Alzheimer's disease plasma biomarkers. Journal of Neurochemistry. 168(9). 2736–2750. 3 indexed citations

Zeng, Xuemei, Anuradha Sehrawat, William E. Klunk, et al.. (2024). Large‐scale validation of an improved and resource‐saving immunoprecipitation‐mass spectrometry assay for plasma amyloid‐β biomarkers in Alzheimer's disease. Alzheimer s & Dementia. 20(S2). 1 indexed citations

Dresse, Menayit Tamrat, Pâmela C.L. Ferreira, Bruna Bellaver, et al.. (2024). Associations between plasma biomarkers and brain amyloid and tau pathologies in a population‐based cohort without evidence of cognitive impairment. Alzheimer s & Dementia. 20(S2).

Gogola, Alexandra, Brian J. Lopresti, Dana Tudorascu, et al.. (2023). Biostatistical Estimation of Tau Threshold Hallmarks (BETTH) Algorithm for Human Tau PET Imaging Studies. Journal of Nuclear Medicine. 64(11). 1798–1805. 8 indexed citations

10.

Saeed, Anum, Oscar L. López, Ann D. Cohen, & Steven E. Reís. (2023). Cardiovascular Disease and Alzheimer's Disease: The Heart–Brain Axis. Journal of the American Heart Association. 12(21). e030780–e030780. 68 indexed citations

11.

Snitz, Beth E., Theodore J. Huppert, James Wilson, et al.. (2023). Unhealthy white matter connectivity, cognition, and racialization in older adults. Alzheimer s & Dementia. 20(3). 1483–1496. 4 indexed citations

12.

Shaaban, C. Elizabeth, Dana Tudorascu, M. Maria Glymour, et al.. (2022). A guide for researchers seeking training in retrospective data harmonization for population neuroscience studies of Alzheimer's disease and related dementias. PubMed. 1. 4 indexed citations

13.

Bruña, Ricardo, Fernando Maestú, David López‐Sanz, et al.. (2021). Sex Differences in Magnetoencephalography-Identified Functional Connectivity in the Human Connectome Project Connectomics of Brain Aging and Dementia Cohort. Brain Connectivity. 12(6). 561–570. 3 indexed citations

14.

Laymon, Charles M., Davneet Minhas, Howard Aizenstein, et al.. (2021). Characterization of point-spread function specification error on Geometric Transfer Matrix partial volume correction in [11C]PiB amyloid imaging. EJNMMI Physics. 8(1). 54–54. 1 indexed citations

15.

Zammit, Matthew, Minjie Wu, Douglas Dean, et al.. (2021). White matter microstructure associations with episodic memory in adults with Down syndrome: a tract-based spatial statistics study. Journal of Neurodevelopmental Disorders. 13(1). 17–17. 12 indexed citations

16.

Zammit, Matthew, Davneet Minhas, Paul A. Ellison, et al.. (2020). Relationship of amyloid beta and neurofibrillary tau deposition in Neurodegeneration in Aging Down Syndrome (NiAD) study at baseline. Alzheimer s & Dementia Translational Research & Clinical Interventions. 6(1). e12096–e12096. 23 indexed citations

17.

Tudorascu, Dana, Stewart Anderson, Davneet Minhas, et al.. (2018). Comparison of longitudinal Aβ in nondemented elderly and Down syndrome. Neurobiology of Aging. 73. 171–176. 12 indexed citations

18.

Lim, Hyun Kook, Robert D. Nebes, Beth E. Snitz, et al.. (2014). Regional amyloid burden and intrinsic connectivity networks in cognitively normal elderly subjects. Brain. 137(12). 3327–3338. 98 indexed citations

19.

Cohen, Ann D., Gil D. Rabinovici, Chester A. Mathis, et al.. (2012). Using Pittsburgh Compound B for In Vivo PET Imaging of Fibrillar Amyloid-Beta. Advances in pharmacology. 64. 27–81. 76 indexed citations

20.

Soskolne, Varda, et al.. (2006). Caregiving Stressors and Psychological Distress Among Veteran Resident and Immigrant Family Caregivers in Israel. Social Work in Health Care. 43(2-3). 73–93. 3 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.

Explore authors with similar magnitude of impact