Danielle D. Sliva

1.1k total citations
16 papers, 706 citations indexed

About

Danielle D. Sliva is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Danielle D. Sliva has authored 16 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Pediatrics, Perinatology and Child Health and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Danielle D. Sliva's work include Functional Brain Connectivity Studies (7 papers), Neonatal and fetal brain pathology (5 papers) and Neural dynamics and brain function (3 papers). Danielle D. Sliva is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Neonatal and fetal brain pathology (5 papers) and Neural dynamics and brain function (3 papers). Danielle D. Sliva collaborates with scholars based in United States, Bangladesh and France. Danielle D. Sliva's co-authors include P. Ellen Grant, Nadine Gaab, Jennifer Zuk, Bryce L. C. Becker, Nora Maria Raschle, April A. Benasich, Silvia Ortiz‐Mantilla, Yingying Wang, Marie Drottar and Seok Lew and has published in prestigious journals such as NeuroImage, Scientific Reports and Annals of the New York Academy of Sciences.

In The Last Decade

Danielle D. Sliva

15 papers receiving 699 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. Sliva United States 12 404 243 192 191 72 16 706
Wanze Xie United States 17 576 1.4× 137 0.6× 111 0.6× 194 1.0× 14 0.2× 30 910
Sonja Rossi Austria 15 776 1.9× 127 0.5× 499 2.6× 64 0.3× 27 0.4× 40 1.0k
Silke Telkemeyer Germany 8 391 1.0× 115 0.5× 180 0.9× 72 0.4× 23 0.3× 14 545
Ralph Schnitker Germany 12 184 0.5× 79 0.3× 57 0.3× 62 0.3× 44 0.6× 20 592
Darren S. Kadis United States 20 621 1.5× 80 0.3× 204 1.1× 237 1.2× 17 0.2× 45 983
Mohinish Shukla United States 10 292 0.7× 141 0.6× 393 2.0× 84 0.4× 8 0.1× 18 778
Sofya Kulikova Russia 10 346 0.9× 393 1.6× 75 0.4× 402 2.1× 9 0.1× 23 892
Silvia Ortiz‐Mantilla United States 15 534 1.3× 97 0.4× 245 1.3× 242 1.3× 23 0.3× 24 814
W. D. Gaillard United States 8 975 2.4× 260 1.1× 337 1.8× 111 0.6× 40 0.6× 8 1.2k
Rebecca L. Billingsley United States 15 654 1.6× 108 0.4× 299 1.6× 54 0.3× 66 0.9× 27 971

Countries citing papers authored by Danielle D. Sliva

Since Specialization
Citations

This map shows the geographic impact of Danielle D. Sliva'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. Sliva 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. Sliva more than expected).

Fields of papers citing papers by Danielle D. Sliva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
1.
Temereanca, Simona, Amin Zandvakili, Danielle D. Sliva, et al.. (2023). Fronto-central resting-state 15-29 Hz transient beta events change with therapeutic transcranial magnetic stimulation for posttraumatic stress disorder and major depressive disorder. Scientific Reports. 13(1). 6366–6366. 13 indexed citations
2.
Law, Robert, Hyeyoung Shin, Danielle D. Sliva, et al.. (2021). Thalamocortical Mechanisms Regulating the Relationship between Transient Beta Events and Human Tactile Perception. Cerebral Cortex. 32(4). 668–688. 27 indexed citations
3.
Yu, Xi, Silvina L. Ferradal, Danielle D. Sliva, et al.. (2021). Functional Connectivity in Infancy and Toddlerhood Predicts Long-Term Language and Preliteracy Outcomes. Cerebral Cortex. 32(4). 725–736. 18 indexed citations
4.
Temereanca, Simona, Amin Zandvakili, Danielle D. Sliva, et al.. (2021). Transient neural oscillations reveal new biomarkers for therapeutic transcranial magnetic stimulation for comorbid MDD and PTSD. Brain stimulation. 14(6). 1643–1643.
5.
Powell, Marc, Juan Ansó, Ro’ee Gilron, et al.. (2020). NeuroDAC: an open-source arbitrary biosignal waveform generator. Journal of Neural Engineering. 18(1). 16010–16010. 2 indexed citations
6.
Turesky, Ted K., Wanze Xie, Swapna Kumar, et al.. (2020). Relating anthropometric indicators to brain structure in 2-month-old Bangladeshi infants growing up in poverty: A pilot study. NeuroImage. 210. 116540–116540. 11 indexed citations
7.
Ahtam, Banu, Mathieu Dehaes, Danielle D. Sliva, et al.. (2019). Resting‐State fMRI Networks in Children with Tuberous Sclerosis Complex. Journal of Neuroimaging. 29(6). 750–759. 5 indexed citations
8.
Turesky, Ted K., Sarah K. G. Jensen, Xi Yu, et al.. (2019). The relationship between biological and psychosocial risk factors and resting‐state functional connectivity in 2‐month‐old Bangladeshi infants: A feasibility and pilot study. Developmental Science. 22(5). e12841–e12841. 23 indexed citations
9.
Sliva, Danielle D., et al.. (2018). A Prospective Study of the Impact of Transcranial Alternating Current Stimulation on EEG Correlates of Somatosensory Perception. Frontiers in Psychology. 9. 2117–2117. 16 indexed citations
10.
Wang, Yingying, et al.. (2016). Development of Tract-Specific White Matter Pathways During Early Reading Development in At-Risk Children and Typical Controls. Cerebral Cortex. 27(4). bhw095–bhw095. 108 indexed citations
11.
Langer, Nicolas, Jennifer Zuk, Marie Drottar, et al.. (2015). White Matter Alterations in Infants at Risk for Developmental Dyslexia. Cerebral Cortex. 27(2). bhv281–bhv281. 84 indexed citations
12.
Rodrigues, K de Macedo, Danielle D. Sliva, Marie Drottar, et al.. (2015). A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0–2 year age range. Frontiers in Human Neuroscience. 9(2). 320–21. 56 indexed citations
13.
Lew, Seok, Danielle D. Sliva, P. Ellen Grant, et al.. (2013). Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model. NeuroImage. 76. 282–293. 82 indexed citations
14.
Raschle, Nora Maria, Jennifer Zuk, Silvia Ortiz‐Mantilla, et al.. (2012). Pediatric neuroimaging in early childhood and infancy: challenges and practical guidelines. Annals of the New York Academy of Sciences. 1252(1). 43–50. 190 indexed citations
15.
Dehaes, Mathieu, P. Ellen Grant, Danielle D. Sliva, et al.. (2011). Assessment of the frequency-domain multi-distance method to evaluate the brain optical properties: Monte Carlo simulations from neonate to adult. Biomedical Optics Express. 2(3). 552–552. 69 indexed citations
16.
Dehaes, Mathieu, P. Ellen Grant, Danielle D. Sliva, et al.. (2011). Evaluation of the accuracy of brain optical properties estimation at different ages using the frequency-domain multi-distance method. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7892. 789203–789203. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wanze Xie Breakdown of academic impact, for papers by Sonja Rossi Breakdown of academic impact, for papers by Silke Telkemeyer Breakdown of academic impact, for papers by Ralph Schnitker Breakdown of academic impact, for papers by Darren S. Kadis Breakdown of academic impact, for papers by Mohinish Shukla Breakdown of academic impact, for papers by Sofya Kulikova Breakdown of academic impact, for papers by Silvia Ortiz‐Mantilla Breakdown of academic impact, for papers by W. D. Gaillard Breakdown of academic impact, for papers by Rebecca L. Billingsley
Rankless by CCL
2026