Alexander D. Cohen

668 total citations
24 papers, 474 citations indexed

About

Alexander D. Cohen is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Alexander D. Cohen has authored 24 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Cognitive Neuroscience and 2 papers in Neurology. Recurrent topics in Alexander D. Cohen's work include Advanced MRI Techniques and Applications (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Alexander D. Cohen is often cited by papers focused on Advanced MRI Techniques and Applications (17 papers), Functional Brain Connectivity Studies (16 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). Alexander D. Cohen collaborates with scholars based in United States, China and United Kingdom. Alexander D. Cohen's co-authors include Yang Wang, Kathleen M. Schmainda, Mark D. Hohenwalter, Andrew S. Nencka, Zhijun Zhang, Chunming Xie, Suchandrima Banerjee, R. Marc Lebel, Yongcong Shao and Joseph S. Goveas and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Alexander D. Cohen

23 papers receiving 471 citations

Peers

Alexander D. Cohen
David Brennan United Kingdom
Elise Turk Netherlands
Monroe P. Turner United States
Susan N. Wright United States
Valentinos Zachariou United States
In Seong Kim South Korea
Lars Kemna Germany
David Brennan United Kingdom
Alexander D. Cohen
Citations per year, relative to Alexander D. Cohen Alexander D. Cohen (= 1×) peers David Brennan

Countries citing papers authored by Alexander D. Cohen

Since Specialization
Citations

This map shows the geographic impact of Alexander 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 Alexander 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 Alexander D. Cohen more than expected).

Fields of papers citing papers by Alexander D. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander D. Cohen. A scholar is included among the top collaborators of Alexander 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 Alexander D. Cohen. Alexander D. Cohen 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.
Pommy, Jessica, et al.. (2025). Changes in cerebrovascular reactivity within functional networks in older adults with long-COVID. Frontiers in Neurology. 16. 1504573–1504573. 1 indexed citations
2.
Dipasquale, Ottavia, Alexander D. Cohen, Daniel Martins, et al.. (2023). Molecular-enriched functional connectivity in the human brain using multiband multi-echo simultaneous ASL/BOLD fMRI. Scientific Reports. 13(1). 11751–11751. 3 indexed citations
3.
Meier, Timothy B., Alexander D. Cohen, Yang Wang, et al.. (2023). Cerebrovascular Function is Altered in Hemodialysis Patients. Kidney360. 4(12). 1717–1725.
4.
Cohen, Alexander D., et al.. (2023). Abnormal functional activation during response inhibition in mild cognitive impairment: an fMRI study. Alzheimer s & Dementia. 19(S18). 1 indexed citations
5.
Cohen, Alexander D., B. Douglas Ward, Mohit Agarwal, et al.. (2022). Ventral striatal subregional dysfunction in late-life grief: Relationships with yearning and depressive symptoms. Journal of Psychiatric Research. 156. 252–260. 6 indexed citations
6.
Niu, Chen, Yang Wang, Alexander D. Cohen, et al.. (2021). Machine learning may predict individual hand motor activation from resting-state fMRI in patients with brain tumors in perirolandic cortex. European Radiology. 31(7). 5253–5262. 14 indexed citations
7.
Cohen, Alexander D., Catie Chang, & Yang Wang. (2021). Using multiband multi-echo imaging to improve the robustness and repeatability of co-activation pattern analysis for dynamic functional connectivity. NeuroImage. 243. 118555–118555. 16 indexed citations
8.
Cohen, Alexander D., et al.. (2021). Improving the Breath-Holding CVR Measurement Using the Multiband Multi-Echo EPI Sequence. Frontiers in Physiology. 12. 619714–619714. 13 indexed citations
9.
Niu, Chen, Alexander D. Cohen, Xin Wen, et al.. (2020). Modeling motor task activation from resting-state fMRI using machine learning in individual subjects. Brain Imaging and Behavior. 15(1). 122–132. 12 indexed citations
10.
Cohen, Alexander D., et al.. (2020). Improved resting state functional connectivity sensitivity and reproducibility using a multiband multi-echo acquisition. NeuroImage. 225. 117461–117461. 22 indexed citations
11.
Cohen, Alexander D., et al.. (2020). Detecting Task Functional MRI Activation Using the Multiband Multiecho (MBME) Echo‐Planar Imaging (EPI) Sequence. Journal of Magnetic Resonance Imaging. 53(5). 1366–1374. 13 indexed citations
12.
Cohen, Alexander D., Mohit Agarwal, Andrew S. Nencka, et al.. (2019). Longitudinal Reproducibility of MR Perfusion Using 3D Pseudocontinuous Arterial Spin Labeling With Hadamard‐Encoded Multiple Postlabeling Delays. Journal of Magnetic Resonance Imaging. 51(6). 1846–1853. 27 indexed citations
13.
Cohen, Alexander D., et al.. (2019). Regression‐based machine‐learning approaches to predict task activation using resting‐state fMRI. Human Brain Mapping. 41(3). 815–826. 25 indexed citations
14.
Cohen, Alexander D. & Yang Wang. (2019). Improving the Assessment of Breath-Holding Induced Cerebral Vascular Reactivity Using a Multiband Multi-echo ASL/BOLD Sequence. Scientific Reports. 9(1). 5079–5079. 28 indexed citations
15.
Cohen, Alexander D., Andrew S. Nencka, & Yang Wang. (2018). Multiband multi-echo simultaneous ASL/BOLD for task-induced functional MRI. PLoS ONE. 13(2). e0190427–e0190427. 21 indexed citations
16.
Cohen, Alexander D., Dardo Tomasi, Ehsan Shokri‐Kojori, Andrew S. Nencka, & Yang Wang. (2017). Functional connectivity density mapping: comparing multiband and conventional EPI protocols. Brain Imaging and Behavior. 12(3). 848–859. 21 indexed citations
17.
Cohen, Alexander D., Andrew S. Nencka, R. Marc Lebel, & Yang Wang. (2017). Multiband multi-echo imaging of simultaneous oxygenation and flow timeseries for resting state connectivity. PLoS ONE. 12(3). e0169253–e0169253. 23 indexed citations
18.
Liu, Weiguo, et al.. (2014). The heterogeneity of non-motor symptoms of Parkinson’s disease. Neurological Sciences. 36(4). 577–584. 6 indexed citations
19.
Bai, Feng, Wei Liao, David R. Watson, et al.. (2011). Mapping the Altered Patterns of Cerebellar Resting-State Function in Longitudinal Amnestic Mild Cognitive Impairment Patients. Journal of Alzheimer s Disease. 23(1). 87–99. 45 indexed citations
20.
Xie, Chunming, Shi‐Jiang Li, Yongcong Shao, et al.. (2010). Identification of hyperactive intrinsic amygdala network connectivity associated with impulsivity in abstinent heroin addicts. Behavioural Brain Research. 216(2). 639–646. 76 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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