Ally Dworetsky

895 total citations
18 papers, 351 citations indexed

About

Ally Dworetsky is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Ally Dworetsky has authored 18 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pharmacology. Recurrent topics in Ally Dworetsky's work include Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ally Dworetsky is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Neural dynamics and brain function (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Ally Dworetsky collaborates with scholars based in United States, Philippines and Israel. Ally Dworetsky's co-authors include Caterina Gratton, Steven E. Petersen, Benjamin A. Seitzman, Babatunde Adeyemo, Brian Kraus, Nico U.F. Dosenbach, Timothy O. Laumann, Rebecca S. Coalson, Mario Ortega and Annie Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and NeuroImage.

In The Last Decade

Ally Dworetsky

16 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ally Dworetsky United States 8 325 115 72 29 19 18 351
Lea Waller Germany 8 247 0.8× 96 0.8× 87 1.2× 48 1.7× 8 0.4× 11 306
Leon Qi Rong Ooi Singapore 10 270 0.8× 107 0.9× 110 1.5× 33 1.1× 8 0.4× 19 381
Lorenzo Mancuso Italy 11 267 0.8× 121 1.1× 49 0.7× 64 2.2× 11 0.6× 17 352
Wei-Ting Hsu United States 6 435 1.3× 108 0.9× 166 2.3× 58 2.0× 13 0.7× 7 504
Sol Lim United Kingdom 5 150 0.5× 70 0.6× 49 0.7× 23 0.8× 7 0.4× 6 267
Carrisa V. Cocuzza United States 4 313 1.0× 73 0.6× 61 0.8× 15 0.5× 5 0.3× 10 332
Thomas Hinault France 14 358 1.1× 49 0.4× 117 1.6× 17 0.6× 51 2.7× 39 465
Benjamin Silver United States 7 186 0.6× 85 0.7× 30 0.4× 14 0.5× 7 0.4× 9 214
Mehraveh Salehi United States 6 421 1.3× 164 1.4× 129 1.8× 51 1.8× 4 0.2× 7 495
Gretel Sanabria-Díaz Switzerland 8 310 1.0× 180 1.6× 41 0.6× 71 2.4× 10 0.5× 13 398

Countries citing papers authored by Ally Dworetsky

Since Specialization
Citations

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

Fields of papers citing papers by Ally Dworetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ally Dworetsky

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

All Works

18 of 18 papers shown
1.
Dworetsky, Ally, et al.. (2025). Towards precision functional brain network mapping in Parkinson’s disease. NeuroImage Clinical. 49. 103935–103935.
2.
Smith, Derek M., et al.. (2025). Precise individual measures of inhibitory control. Nature Human Behaviour. 9(8). 1613–1630.
3.
Farah, Rola, Ally Dworetsky, Rebecca S. Coalson, et al.. (2024). An executive-functions-based reading training enhances sensory-motor systems integration during reading fluency in children with dyslexia. Cerebral Cortex. 34(4). 1 indexed citations
4.
Dworetsky, Ally, et al.. (2024). Using precision approaches to improve brain-behavior prediction. Trends in Cognitive Sciences. 29(2). 170–183. 2 indexed citations
5.
Campbell, Meghan C., et al.. (2024). Precision-mapping Functional Connectivity in Parkinson Disease: Feasibility & Reliability (P7-3.005). Neurology. 102(7_supplement_1). 6310–6310. 1 indexed citations
6.
Dworetsky, Ally, Benjamin A. Seitzman, Babatunde Adeyemo, et al.. (2024). Two common and distinct forms of variation in human functional brain networks. Nature Neuroscience. 27(6). 1187–1198. 13 indexed citations
7.
Smith, Derek M., Brian Kraus, Ally Dworetsky, Evan M. Gordon, & Caterina Gratton. (2023). Brain hubs defined in the group do not overlap with regions of high inter-individual variability. NeuroImage. 277. 120195–120195. 4 indexed citations
8.
Seitzman, Benjamin A., Ally Dworetsky, Rebecca S. Coalson, et al.. (2023). Cognitive deficits and altered functional brain network organization in pediatric brain tumor patients. Brain Imaging and Behavior. 17(6). 689–701. 3 indexed citations
9.
Dworetsky, Ally, et al.. (2022). Hemispheric Asymmetries of Individual Differences in Functional Connectivity. Journal of Cognitive Neuroscience. 35(2). 200–225. 7 indexed citations
10.
Porter, Alexis, et al.. (2022). Masked features of task states found in individual brain networks. Cerebral Cortex. 33(6). 2879–2900. 8 indexed citations
11.
Seitzman, Benjamin A., Ally Dworetsky, Babatunde Adeyemo, et al.. (2022). BOLD cofluctuation ‘events’ are predicted from static functional connectivity. NeuroImage. 260. 119476–119476. 16 indexed citations
12.
Smith, Derek M., et al.. (2021). Light through the fog: using precision fMRI data to disentangle the neural substrates of cognitive control. Current Opinion in Behavioral Sciences. 40. 19–26. 19 indexed citations
13.
Dworetsky, Ally, Benjamin A. Seitzman, Babatunde Adeyemo, et al.. (2021). Probabilistic mapping of human functional brain networks identifies regions of high group consensus. NeuroImage. 237. 118164–118164. 38 indexed citations
14.
Kraus, Brian, et al.. (2021). Network variants are similar between task and rest states. NeuroImage. 229. 117743–117743. 37 indexed citations
15.
Gratton, Caterina, Ally Dworetsky, Rebecca S. Coalson, et al.. (2020). Removal of high frequency contamination from motion estimates in single-band fMRI saves data without biasing functional connectivity. NeuroImage. 217. 116866–116866. 57 indexed citations
16.
Eggebrecht, Adam T., Ally Dworetsky, Zoë Hawks, et al.. (2020). Brain function distinguishes female carriers and non-carriers of familial risk for autism. Molecular Autism. 11(1). 82–82. 6 indexed citations
17.
Dworetsky, Ally, Rebecca S. Coalson, Hongjie Gu, et al.. (2020). Atypical Resting State Functional Connectivity and Deficits in Cognition in Pediatric Brain Tumor Patients Treated with Proton Beam Radiation. International Journal of Radiation Oncology*Biology*Physics. 108(3). S127–S128. 1 indexed citations
18.
Seitzman, Benjamin A., Caterina Gratton, Timothy O. Laumann, et al.. (2019). Trait-like variants in human functional brain networks. Proceedings of the National Academy of Sciences. 116(45). 22851–22861. 138 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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