David S. Grayson

1.9k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

David S. Grayson is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, David S. Grayson has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 10 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Psychiatry and Mental health. Recurrent topics in David S. Grayson's work include Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (6 papers). David S. Grayson is often cited by papers focused on Functional Brain Connectivity Studies (13 papers), Advanced Neuroimaging Techniques and Applications (8 papers) and Advanced MRI Techniques and Applications (6 papers). David S. Grayson collaborates with scholars based in United States, Canada and United Kingdom. David S. Grayson's co-authors include Damien A. Fair, Joel T. Nigg, Swathi Iyer, Óscar Miranda-Domínguez, Samuel D. Carpenter, Kathleen A. Grant, Taciana G. Costa Dias, Christopher D. Kroenke, Joel T. Nigg and Brian D. Mills and has published in prestigious journals such as Neuron, Journal of Neuroscience and PLoS ONE.

In The Last Decade

David S. Grayson

16 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature

2017 283 citations David S. Grayson, Damien A. Fair NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Grayson United States	14	1000	379	229	143	123	16	1.3k
Miao Cao China	15	1.4k 1.4×	657 1.7×	282 1.2×	190 1.3×	190 1.5×	24	1.6k
Didac Vidal‐Piñeiro Norway	21	1.2k 1.2×	360 0.9×	295 1.3×	167 1.2×	61 0.5×	50	1.7k
Jessica Royer Canada	23	1.4k 1.4×	579 1.5×	254 1.1×	177 1.2×	58 0.5×	57	1.6k
Sarah Genon Germany	24	1.4k 1.4×	507 1.3×	291 1.3×	297 2.1×	53 0.4×	56	1.8k
Shefali Brahmbhatt United States	7	993 1.0×	277 0.7×	165 0.7×	182 1.3×	76 0.6×	7	1.2k
Maarten J. Vaessen Netherlands	19	808 0.8×	389 1.0×	516 2.3×	130 0.9×	175 1.4×	31	1.3k
Mark Drakesmith United Kingdom	18	624 0.6×	562 1.5×	175 0.8×	101 0.7×	118 1.0×	35	1.1k
J. Martijn Jansma Netherlands	16	1.5k 1.5×	493 1.3×	235 1.0×	230 1.6×	59 0.5×	24	1.9k
Lisa Ronan United Kingdom	21	851 0.9×	562 1.5×	385 1.7×	95 0.7×	194 1.6×	30	1.6k
A.W. Toga United States	15	739 0.7×	390 1.0×	318 1.4×	139 1.0×	305 2.5×	42	1.5k

Countries citing papers authored by David S. Grayson

Since Specialization

Citations

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

Fields of papers citing papers by David S. Grayson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Grayson. 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 David S. Grayson. The network helps show where David S. Grayson may publish in the future.

Co-authorship network of co-authors of David S. Grayson

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

All Works

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16 of 16 papers shown

Grayson, David S., Óscar Miranda-Domínguez, Michelle Wilson, et al.. (2019). Effects of social subordination and oestradiol on resting‐state amygdala functional connectivity in adult female rhesus monkeys. Journal of Neuroendocrinology. 32(2). e12822–e12822. 8 indexed citations

Shen, Kelly, Alexandros Goulas, David S. Grayson, et al.. (2019). Exploring the limits of network topology estimation using diffusion-based tractography and tracer studies in the macaque cortex. NeuroImage. 191. 81–92. 24 indexed citations

Mills, Brian D., David S. Grayson, Anandakumar Shunmugavel, et al.. (2018). Correlated Gene Expression and Anatomical Communication Support Synchronized Brain Activity in the Mouse Functional Connectome. Journal of Neuroscience. 38(25). 5774–5787. 22 indexed citations

Grayson, David S. & Damien A. Fair. (2017). Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature. NeuroImage. 160. 15–31. 283 indexed citations breakdown →

Grayson, David S., Eliza Bliss‐Moreau, Jeffrey Bennett, Pierre Lavenex, & David G. Amaral. (2017). Neural Reorganization Due to Neonatal Amygdala Lesions in the Rhesus Monkey: Changes in Morphology and Network Structure. Cerebral Cortex. 27(6). 3240–3253. 10 indexed citations

Miranda-Domínguez, Óscar, Eric Feczko, David S. Grayson, et al.. (2017). Heritability of the human connectome: A connectotyping study. Network Neuroscience. 2(2). 175–199. 83 indexed citations

Grayson, David S., Eliza Bliss‐Moreau, Christopher J. Machado, et al.. (2016). The Rhesus Monkey Connectome Predicts Disrupted Functional Networks Resulting from Pharmacogenetic Inactivation of the Amygdala. Neuron. 91(2). 453–466. 116 indexed citations

Grayson, David S., Julia Grieser Painter, Samuel D. Carpenter, et al.. (2016). Network Structure among Brain Systems in Adult ADHD is Uniquely Modified by Stimulant Administration. Cerebral Cortex. 27(8). 3970–3979. 25 indexed citations

Scott, Julia A., David S. Grayson, Evan Fletcher, et al.. (2015). Longitudinal analysis of the developing rhesus monkey brain using magnetic resonance imaging: birth to adulthood. Brain Structure and Function. 221(5). 2847–2871. 66 indexed citations

10.

Grayson, David S., Christopher D. Kroenke, Martha Neuringer, & Damien A. Fair. (2014). Dietary Omega-3 Fatty Acids Modulate Large-Scale Systems Organization in the Rhesus Macaque Brain. Journal of Neuroscience. 34(6). 2065–2074. 52 indexed citations

11.

Grayson, David S., Samuel D. Carpenter, Swathi Iyer, et al.. (2014). Structural and Functional Rich Club Organization of the Brain in Children and Adults. PLoS ONE. 9(2). e88297–e88297. 142 indexed citations

12.

Miranda-Domínguez, Óscar, Brian D. Mills, David S. Grayson, et al.. (2014). Bridging the Gap between the Human and Macaque Connectome: A Quantitative Comparison of Global Interspecies Structure-Function Relationships and Network Topology. Journal of Neuroscience. 34(16). 5552–5563. 105 indexed citations

13.

Miller, Meghan, Sarah L. Karalunas, David S. Grayson, et al.. (2014). Structural and functional connectivity of the human brain in autism spectrum disorders and attention-deficit/hyperactivity disorder: A rich club-organization study. Human Brain Mapping. 35(12). 6032–6048. 114 indexed citations

14.

Solomon, Marjorie, Michael J. Frank, J. Daniel Ragland, et al.. (2014). Feedback-Driven Trial-by-Trial Learning in Autism Spectrum Disorders. American Journal of Psychiatry. 172(2). 173–181. 37 indexed citations

15.

Iyer, Swathi, Izhak Shafran, David S. Grayson, et al.. (2013). Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm. NeuroImage. 75. 165–175. 29 indexed citations

16.

Dias, Taciana G. Costa, Vanessa B. Wilson, Deepti R. Bathula, et al.. (2012). Reward circuit connectivity relates to delay discounting in children with attention-deficit/hyperactivity disorder. European Neuropsychopharmacology. 23(1). 33–45. 137 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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