Danielle D. DeSouza

1.8k total citations
28 papers, 829 citations indexed

About

Danielle D. DeSouza is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Danielle D. DeSouza has authored 28 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 11 papers in Psychiatry and Mental health and 10 papers in Neurology. Recurrent topics in Danielle D. DeSouza's work include Functional Brain Connectivity Studies (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Trigeminal Neuralgia and Treatments (6 papers). Danielle D. DeSouza is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Transcranial Magnetic Stimulation Studies (7 papers) and Trigeminal Neuralgia and Treatments (6 papers). Danielle D. DeSouza collaborates with scholars based in United States, Canada and Australia. Danielle D. DeSouza's co-authors include Karen D. Davis, Mojgan Hodaie, David Qixiang Chen, Massieh Moayedi, Saman Sarraf, John A. E. Anderson, Aaron Kucyi, Nathalie Erpelding, Joshua C. Cheng and Gahl Greenberg and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neurology.

In The Last Decade

Danielle D. DeSouza

25 papers receiving 822 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 D. DeSouza United States 13 351 300 269 210 195 28 829
Karin van der Hiele Netherlands 15 219 0.6× 153 0.5× 176 0.7× 349 1.7× 489 2.5× 38 1.1k
Miguel Yus Spain 21 87 0.2× 401 1.3× 205 0.8× 278 1.3× 394 2.0× 50 1.2k
Gina Dumkrieger United States 16 177 0.5× 180 0.6× 55 0.2× 474 2.3× 77 0.4× 46 638
Daniele Martinelli Italy 15 223 0.6× 122 0.4× 54 0.2× 494 2.4× 64 0.3× 37 673
Robert Gramer Canada 16 46 0.1× 358 1.2× 196 0.7× 48 0.2× 177 0.9× 27 800
G. Rodriguez Italy 18 66 0.2× 140 0.5× 107 0.4× 169 0.8× 144 0.7× 44 840
M. Keidel Germany 17 114 0.3× 119 0.4× 24 0.1× 182 0.9× 427 2.2× 54 897
J. Spatt Austria 15 81 0.2× 231 0.8× 65 0.2× 191 0.9× 510 2.6× 23 1.1k
Gabriela Ferreira Carvalho Brazil 21 532 1.5× 191 0.6× 33 0.1× 928 4.4× 90 0.5× 63 1.2k
Jae-Moon Kim South Korea 17 397 1.1× 95 0.3× 33 0.1× 600 2.9× 103 0.5× 59 1.0k

Countries citing papers authored by Danielle D. DeSouza

Since Specialization
Citations

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

Fields of papers citing papers by Danielle D. DeSouza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle D. DeSouza

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle D. DeSouza. A scholar is included among the top collaborators of Danielle D. DeSouza 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 D. DeSouza. Danielle D. DeSouza 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.
Schulze, Laura, et al.. (2025). Hourly mood assessments during accelerated rTMS for major depression: Trajectories of treatment response. Brain stimulation. 18(1). 375–375.
2.
Bishop, James H., Katy H. Stimpson, M. Gulser, et al.. (2024). Stanford Hypnosis Integrated with Functional Connectivity-targeted Transcranial Stimulation (SHIFT): a preregistered randomized controlled trial. Nature Mental Health. 2(1). 96–103. 9 indexed citations
3.
Siddiqi, Shan H., et al.. (2023). Accelerated intermittent theta-burst stimulation for the treatment of adolescent depression: A case series. Journal of Affective Disorders Reports. 14. 100648–100648. 2 indexed citations
4.
5.
DeSouza, Danielle D., et al.. (2023). Evaluating the utility of daily speech assessments for monitoring depression symptoms. Digital Health. 9. 589824235–589824235. 7 indexed citations
6.
7.
DeSouza, Danielle D., et al.. (2022). Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study. JMIR Formative Research. 6(10). e39998–e39998. 5 indexed citations
8.
Krimmel, Samuel R., Danielle D. DeSouza, Michael L. Keaser, et al.. (2022). Three Dimensions of Association Link Migraine Symptoms and Functional Connectivity. Journal of Neuroscience. 42(31). 6156–6166. 7 indexed citations
9.
Cong, Yan, Sunghye Cho, Sameer Pradhan, et al.. (2022). Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis. Schizophrenia. 8(1). 58–58. 8 indexed citations
10.
11.
Sarraf, Saman, Danielle D. DeSouza, John A. E. Anderson, & Cristina Saverino. (2019). MCADNNet: Recognizing Stages of Cognitive Impairment Through Efficient Convolutional fMRI and MRI Neural Network Topology Models. IEEE Access. 7. 155584–155600. 43 indexed citations
12.
DeSouza, Danielle D., et al.. (2019). Altered structural brain network topology in chronic migraine. Brain Structure and Function. 225(1). 161–172. 23 indexed citations
13.
Behan, Brendan, et al.. (2017). Comparison of Diffusion-Weighted MRI Reconstruction Methods for Visualization of Cranial Nerves in Posterior Fossa Surgery. Frontiers in Neuroscience. 11. 554–554. 28 indexed citations
14.
DeSouza, Danielle D., Mojgan Hodaie, & Karen D. Davis. (2016). Structural Magnetic Resonance Imaging Can Identify Trigeminal System Abnormalities in Classical Trigeminal Neuralgia. Frontiers in Neuroanatomy. 10. 95–95. 59 indexed citations
15.
Woldeamanuel, Yohannes W., et al.. (2016). Journal Club: Exacerbation of headache during dihydroergotamine for chronic migraine does not alter outcome. Neurology. 87(16). e196–e198. 1 indexed citations
16.
DeSouza, Danielle D., Karen D. Davis, & Mojgan Hodaie. (2015). Reversal of insular and microstructural nerve abnormalities following effective surgical treatment for trigeminal neuralgia. Pain. 156(6). 1112–1123. 94 indexed citations
17.
Cheng, Joshua C., Nathalie Erpelding, Aaron Kucyi, Danielle D. DeSouza, & Karen D. Davis. (2015). Individual Differences in Temporal Summation of Pain Reflect Pronociceptive and Antinociceptive Brain Structure and Function. Journal of Neuroscience. 35(26). 9689–9700. 67 indexed citations
18.
DeSouza, Danielle D., Mojgan Hodaie, & Karen D. Davis. (2013). Abnormal trigeminal nerve microstructure and brain white matter in idiopathic trigeminal neuralgia. Pain. 155(1). 37–44. 133 indexed citations
19.
DeSouza, Danielle D., Massieh Moayedi, David Qixiang Chen, Karen D. Davis, & Mojgan Hodaie. (2013). Sensorimotor and Pain Modulation Brain Abnormalities in Trigeminal Neuralgia: A Paroxysmal, Sensory-Triggered Neuropathic Pain. PLoS ONE. 8(6). e66340–e66340. 110 indexed citations
20.
Greenberg, Gahl, et al.. (2008). Use of Diffusion Tensor Imaging to Examine Subacute White Matter Injury Progression in Moderate to Severe Traumatic Brain Injury. Archives of Physical Medicine and Rehabilitation. 89(12). S45–S50. 59 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

Breakdown of academic impact, for papers by Karin van der Hiele Breakdown of academic impact, for papers by Miguel Yus Breakdown of academic impact, for papers by Gina Dumkrieger Breakdown of academic impact, for papers by Daniele Martinelli Breakdown of academic impact, for papers by Robert Gramer Breakdown of academic impact, for papers by G. Rodriguez Breakdown of academic impact, for papers by M. Keidel Breakdown of academic impact, for papers by J. Spatt Breakdown of academic impact, for papers by Gabriela Ferreira Carvalho Breakdown of academic impact, for papers by Jae-Moon Kim
Rankless by CCL
2026