Daniel S. Barron

1.8k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Daniel S. Barron is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel S. Barron has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 8 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel S. Barron's work include Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Neurological disorders and treatments (4 papers). Daniel S. Barron is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Neurological disorders and treatments (4 papers). Daniel S. Barron collaborates with scholars based in United States, Germany and Hong Kong. Daniel S. Barron's co-authors include Peter T. Fox, R. Todd Constable, Dustin Scheinost, Simon B. Eickhoff, Mehraveh Salehi, Stephanie Noble, P. Mickle Fox, Abigail S. Greene, Xilin Shen and Corey Horien and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel S. Barron

30 papers receiving 1.1k 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.

Ten simple rules for predictive modeling of individual differences in neuroimaging

2019 250 citations Dustin Scheinost, Stephanie Noble et al. NeuroImage profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel S. Barron United States	15	773	276	240	221	140	35	1.1k
Ricardo Magalhães Portugal	18	760 1.0×	319 1.2×	196 0.8×	152 0.7×	127 0.9×	55	1.3k
Emma Knowles United States	23	552 0.7×	270 1.0×	212 0.9×	511 2.3×	70 0.5×	61	1.3k
Xueling Suo China	24	835 1.1×	441 1.6×	308 1.3×	206 0.9×	95 0.7×	74	1.4k
Lana Kambeitz‐Ilankovic Germany	19	721 0.9×	321 1.2×	280 1.2×	491 2.2×	95 0.7×	41	1.2k
Ottavia Dipasquale United Kingdom	20	561 0.7×	231 0.8×	112 0.5×	151 0.7×	126 0.9×	55	979
Mingying Du China	16	951 1.2×	570 2.1×	264 1.1×	328 1.5×	80 0.6×	18	1.5k
Crystal Cooper United States	20	1.0k 1.3×	621 2.3×	378 1.6×	314 1.4×	79 0.6×	39	1.7k
Suzannah K. Helps United Kingdom	14	1.5k 2.0×	319 1.2×	353 1.5×	482 2.2×	113 0.8×	19	1.9k
Valerie J. Sydnor United States	16	545 0.7×	335 1.2×	76 0.3×	112 0.5×	115 0.8×	38	1.0k
Josep M. Serra‐Grabulosa Spain	19	620 0.8×	93 0.3×	300 1.3×	222 1.0×	145 1.0×	38	1.3k

Countries citing papers authored by Daniel S. Barron

Since Specialization

Citations

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

Fields of papers citing papers by Daniel S. Barron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Barron

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

All Works

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20 of 20 papers shown

Barron, Daniel S., et al.. (2025). Physician and patient perspectives on PROM implementation barriers in spine care and pain management: a mixed-methods assessment. BMJ Open Quality. 14(4). e003663–e003663.

Cardenas‐Rojas, Alejandra, et al.. (2025). An interdisciplinary virtual group program addressing the FINER points of chronic pain management: An exploratory analysis of functional outcomes. Pain Practice. 25(2). e70011–e70011.

Ibrahim, Karim, Daniel S. Barron, Melissa Funaro, et al.. (2024). Neural circuit disruptions of eye gaze processing in autism spectrum disorder and schizophrenia: An activation likelihood estimation meta-analysis. Schizophrenia Research. 264. 298–313. 1 indexed citations

Isaac, Zacharia, et al.. (2024). The Pain Intervention & Digital Research Program: an operational report on combining digital research with outpatient chronic disease management. SHILAP Revista de lepidopterología. 5. 1327859–1327859. 1 indexed citations

Deng, Huan, Pengsheng Ni, Mary D. Slavin, et al.. (2024). Moderation Effects of Daily Behavior on Associations Between Symptoms and Social Participation Outcomes After Burn Injury: A 6-Month Digital Phenotyping Study. Archives of Physical Medicine and Rehabilitation. 105(9). 1700–1708. 1 indexed citations

Zakiniaeiz, Yasmin, Hong Gao, Soheila Najafzadeh, et al.. (2022). Systemic inflammation enhances stimulant-induced striatal dopamine elevation in tobacco smokers. Brain Behavior and Immunity. 106. 262–269. 3 indexed citations

Greene, Abigail S., Xilin Shen, Stephanie Noble, et al.. (2022). Brain–phenotype models fail for individuals who defy sample stereotypes. Nature. 609(7925). 109–118. 78 indexed citations

Barron, Daniel S., Stephen Heisig, Carla Agurto, et al.. (2022). Feasibility Analysis of Phenotype Quantification from Unstructured Clinical Interactions. SHILAP Revista de lepidopterología. 6(1). 1–1. 1 indexed citations

Barron, Daniel S.. (2021). Commentary: the ethical challenges of machine learning in psychiatry: a focus on data, diagnosis, and treatment. Psychological Medicine. 51(15). 2522–2524. 3 indexed citations

10.

Barron, Daniel S., Justin T. Baker, Danilo Bzdok, et al.. (2021). Decision Models and Technology Can Help Psychiatry Develop Biomarkers. Frontiers in Psychiatry. 12. 706655–706655. 7 indexed citations

11.

Horien, Corey, Stephanie Noble, Abigail S. Greene, et al.. (2020). A hitchhiker’s guide to working with large, open-source neuroimaging datasets. Nature Human Behaviour. 5(2). 185–193. 38 indexed citations

12.

Liu, Anli, Daniel Friedman, Daniel S. Barron, et al.. (2020). Forced conceptual thought induced by electrical stimulation of the left prefrontal gyrus involves widespread neural networks. Epilepsy & Behavior. 104(Pt A). 106644–106644. 3 indexed citations

13.

Scheinost, Dustin, Stephanie Noble, Corey Horien, et al.. (2019). Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage. 193. 35–45. 250 indexed citations breakdown →

14.

Salehi, Mehraveh, Amin Karbasi, Daniel S. Barron, Dustin Scheinost, & R. Todd Constable. (2019). Individualized functional networks reconfigure with cognitive state. NeuroImage. 206. 116233–116233. 42 indexed citations

15.

Barron, Daniel S., Mehraveh Salehi, Michael Browning, et al.. (2018). Exploring the prediction of emotional valence and pharmacologic effect across fMRI studies of antidepressants. NeuroImage Clinical. 20. 407–414. 8 indexed citations

16.

Yu, Fang, et al.. (2017). Characterisation of meta-analytical functional connectivity in progressive supranuclear palsy. Clinical Radiology. 73(4). 415.e1–415.e7. 5 indexed citations

17.

Barron, Daniel S., et al.. (2014). Stuttering, induced fluency, and natural fluency: A hierarchical series of activation likelihood estimation meta-analyses. Brain and Language. 139. 99–107. 84 indexed citations

18.

Barron, Daniel S., P. Mickle Fox, Angela R. Laird, Jennifer L. Robinson, & Peter T. Fox. (2012). Thalamic medial dorsal nucleus atrophy in medial temporal lobe epilepsy: A VBM meta-analysis. NeuroImage Clinical. 2. 25–32. 62 indexed citations

19.

Cherner, Mariana, Chad Bousman, Ian Everall, et al.. (2010). Cytochrome P450-2D6 extensive metabolizers are more vulnerable to methamphetamine-associated neurocognitive impairment: Preliminary findings. Journal of the International Neuropsychological Society. 16(5). 890–901. 38 indexed citations

20.

Wardrope, J, et al.. (2008). Soft tissue injuries: principles of biomechanics, physiotherapy and imaging. Emergency Medicine Journal. 25(3). 158–162. 4 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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