Danielle Cooke

1.8k total citations
23 papers, 1.1k citations indexed

About

Danielle Cooke is a scholar working on Cognitive Neuroscience, Clinical Psychology and Neurology. According to data from OpenAlex, Danielle Cooke has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 8 papers in Clinical Psychology and 7 papers in Neurology. Recurrent topics in Danielle Cooke's work include Functional Brain Connectivity Studies (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Obsessive-Compulsive Spectrum Disorders (6 papers). Danielle Cooke is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Obsessive-Compulsive Spectrum Disorders (6 papers). Danielle Cooke collaborates with scholars based in United States, Finland and Australia. Danielle Cooke's co-authors include Michael Fox, Stephan F. Taylor, Álvaro Pascual‐Leone, Shan H. Siddiqi, Andreas Horn, Mark S. George, R. Ryan Darby, Daniel Z. Press, Adam P. Stern and Anne Weigand and has published in prestigious journals such as Nature Communications, American Journal of Psychiatry and Brain.

In The Last Decade

Danielle Cooke

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Cooke United States 11 688 433 277 232 177 23 1.1k
Justin Rajendra United States 15 739 1.1× 326 0.8× 582 2.1× 336 1.4× 112 0.6× 19 1.3k
Thibaut Dondaine France 20 450 0.7× 245 0.6× 496 1.8× 103 0.4× 161 0.9× 49 1.1k
Romain Duprat Belgium 16 596 0.9× 570 1.3× 102 0.4× 118 0.5× 171 1.0× 32 920
Shubir Dutt United States 18 504 0.7× 135 0.3× 179 0.6× 225 1.0× 225 1.3× 50 1.2k
Didac Vidal‐Piñeiro Norway 21 1.2k 1.7× 519 1.2× 83 0.3× 360 1.6× 295 1.7× 50 1.7k
Kfir Feffer Israel 9 625 0.9× 899 2.1× 150 0.5× 92 0.4× 304 1.7× 19 1.2k
Peter Giacobbe Canada 15 765 1.1× 857 2.0× 197 0.7× 102 0.4× 198 1.1× 36 1.3k
E. Baron Short United States 17 315 0.5× 462 1.1× 150 0.5× 108 0.5× 267 1.5× 42 1000
Cleofé Peña-Gómez Spain 13 819 1.2× 508 1.2× 81 0.3× 333 1.4× 257 1.5× 19 1.2k
Vassilios Latoussakis United States 8 474 0.7× 385 0.9× 79 0.3× 219 0.9× 275 1.6× 9 954

Countries citing papers authored by Danielle Cooke

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Cooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Cooke

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Cooke. A scholar is included among the top collaborators of Danielle Cooke 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 Danielle Cooke. Danielle Cooke 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.
Cooke, Danielle, et al.. (2024). Machine Learning for Mental Health: Applications, Challenges, and the Clinician's Role. Current Psychiatry Reports. 26(12). 694–702. 3 indexed citations
2.
3.
Cooke, Danielle, et al.. (2024). Public stigma and recognition of perinatal obsessive-compulsive disorder. Journal of Obsessive-Compulsive and Related Disorders. 40. 100858–100858.
4.
Cooke, Danielle, et al.. (2023). Implementation and Preliminary Outcomes of an Exposure-Based Summer Camp for Pediatric OCD and Anxiety. Behavior Therapy. 55(3). 543–557.
5.
Novick, Andrew M., Melissa Kwitowski, Jack Dempsey, Danielle Cooke, & Allison G. Dempsey. (2022). Technology-Based Approaches for Supporting Perinatal Mental Health. Current Psychiatry Reports. 24(9). 419–429. 18 indexed citations
6.
Guzick, Andrew G., et al.. (2022). An examination of obsessive-compulsive symptom domains, depression, and quality of life within an online survey sample. Bulletin of the Menninger Clinic. 86(2). 133–158. 2 indexed citations
7.
Leonard, Rachel C., et al.. (2021). An Initial Study of Symptom Accommodation in Adults with Depression. International Journal of Cognitive Therapy. 14(3). 537–551. 2 indexed citations
8.
Lin, Christopher, Frédéric Schaper, Danielle Cooke, et al.. (2021). rTMS to the contralesional M1 modulates the trajectory of post-stroke motor recovery. Brain stimulation. 14(6). 1601–1601. 1 indexed citations
9.
He, Jason, Danielle Cooke, Juho Joutsa, et al.. (2020). ‘Expedited Interhemispheric Inhibition’: A Simple Method to Collect Additional IHI Data in the Same Amount of Time. Brain Topography. 34(1). 1–5. 3 indexed citations
10.
Snider, Samuel B., Joey Hsu, R. Ryan Darby, et al.. (2020). Cortical lesions causing loss of consciousness are anticorrelated with the dorsal brainstem. Human Brain Mapping. 41(6). 1520–1531. 50 indexed citations
11.
Burke, Matthew J., Juho Joutsa, Alexander L. Cohen, et al.. (2019). Mapping migraine to a common brain network. Brain. 143(2). 541–553. 56 indexed citations
12.
Padmanabhan, Jaya, Danielle Cooke, Juho Joutsa, et al.. (2019). A Human Depression Circuit Derived From Focal Brain Lesions. Biological Psychiatry. 86(10). 749–758. 156 indexed citations
13.
Joutsa, Juho, R. Ryan Darby, Cathérine C.S. Delnooz, et al.. (2019). Network localization of cervical dystonia based on causal brain lesions. Brain. 142(6). 1660–1674. 139 indexed citations
14.
Guzick, Andrew G., Danielle Cooke, Joseph P. H. McNamara, et al.. (2019). Parents’ Perceptions of Internalizing and Externalizing Features in Childhood OCD. Child Psychiatry & Human Development. 50(4). 692–701. 4 indexed citations
15.
Ferguson, Michael A., Chun Soo Lim, Danielle Cooke, et al.. (2019). A human memory circuit derived from brain lesions causing amnesia. Nature Communications. 10(1). 3497–3497. 96 indexed citations
16.
Siddiqi, Shan H., Stephan F. Taylor, Danielle Cooke, et al.. (2019). Distinct symptom-specific treatment targets for antidepressant neuromodulation. Brain stimulation. 12(2). 537–537. 1 indexed citations
17.
Siddiqi, Shan H., Stephan F. Taylor, Danielle Cooke, et al.. (2019). Distinct symptom-specific treatment targets for circuit-based neuromodulation. Brain stimulation. 12(4). e138–e138. 17 indexed citations
18.
Guzick, Andrew G., Danielle Cooke, Nicholas A. Gage, & Joseph P. H. McNamara. (2018). CBT-Plus: A meta-analysis of cognitive behavioral therapy augmentation strategies for obsessive-compulsive disorder. Journal of Obsessive-Compulsive and Related Disorders. 19. 6–14. 15 indexed citations
19.
Weigand, Anne, Andreas Horn, Danielle Cooke, et al.. (2017). Prospective Validation That Subgenual Connectivity Predicts Antidepressant Efficacy of Transcranial Magnetic Stimulation Sites. Biological Psychiatry. 84(1). 28–37. 283 indexed citations
20.
Füredi, János & Danielle Cooke. (1997). Psychiatric training in Hungary. European Archives of Psychiatry and Clinical Neuroscience. 247(S1). S33–S34. 2 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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