Daniel J. Simmonds

3.6k total citations · 1 hit paper
17 papers, 2.7k citations indexed

About

Daniel J. Simmonds is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Pharmacology. According to data from OpenAlex, Daniel J. Simmonds has authored 17 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 2 papers in Pharmacology. Recurrent topics in Daniel J. Simmonds's work include Functional Brain Connectivity Studies (11 papers), Neural and Behavioral Psychology Studies (11 papers) and Attention Deficit Hyperactivity Disorder (9 papers). Daniel J. Simmonds is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Neural and Behavioral Psychology Studies (11 papers) and Attention Deficit Hyperactivity Disorder (9 papers). Daniel J. Simmonds collaborates with scholars based in United States and Germany. Daniel J. Simmonds's co-authors include Stewart H. Mostofsky, James J. Pekar, Beatríz Luna, Michael N. Hallquist, Miya R. Asato, Brian Caffo, Rebecca Vaurio, Stacy J. Suskauer, Martha B. Denckla and Stephanie Powell and has published in prestigious journals such as NeuroImage, Brain and Journal of the American Academy of Child & Adolescent Psychiatry.

In The Last Decade

Daniel J. Simmonds

17 papers receiving 2.7k citations

Hit Papers

Meta-analysis of Go/No-go tasks demonstrating that fMRI a... 2007 2026 2013 2019 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Simmonds United States 14 2.1k 840 328 295 286 17 2.7k
Jennifer E. McDowell United States 33 2.2k 1.1× 1.2k 1.5× 542 1.7× 345 1.2× 430 1.5× 118 4.0k
Andrew C. Stanfield United Kingdom 25 1.7k 0.8× 884 1.1× 132 0.4× 314 1.1× 474 1.7× 64 2.4k
Yihong Yang United States 22 1.6k 0.7× 629 0.7× 525 1.6× 431 1.5× 421 1.5× 82 2.8k
Amy L. Krain United States 15 1.0k 0.5× 904 1.1× 329 1.0× 162 0.5× 462 1.6× 17 2.0k
Tina Proffitt Australia 18 973 0.5× 1.0k 1.2× 275 0.8× 315 1.1× 256 0.9× 33 2.1k
Natalia M. Kleinhans United States 22 1.8k 0.9× 429 0.5× 187 0.6× 212 0.7× 463 1.6× 46 2.3k
Daniela Hubl Switzerland 28 2.8k 1.3× 991 1.2× 337 1.0× 693 2.3× 301 1.1× 70 3.4k
Susanne Neufang Germany 18 1.4k 0.7× 773 0.9× 231 0.7× 217 0.7× 194 0.7× 40 2.0k
Heledd Hart United Kingdom 19 1.5k 0.7× 1.1k 1.3× 331 1.0× 178 0.6× 747 2.6× 20 2.5k
Nancy E. Adleman United States 24 1.6k 0.8× 1.4k 1.7× 483 1.5× 257 0.9× 634 2.2× 39 2.9k

Countries citing papers authored by Daniel J. Simmonds

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Simmonds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Simmonds

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

All Works

17 of 17 papers shown
1.
Tervo‐Clemmens, Brenden, Daniel J. Simmonds, Finnegan J. Calabro, et al.. (2018). Early Cannabis Use and Neurocognitive Risk: A Prospective Functional Neuroimaging Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 3(8). 713–725. 31 indexed citations
2.
Tervo‐Clemmens, Brenden, Daniel J. Simmonds, Finnegan J. Calabro, et al.. (2017). Adolescent cannabis use and brain systems supporting adult working memory encoding, maintenance, and retrieval. NeuroImage. 169. 496–509. 32 indexed citations
3.
Simmonds, Daniel J., Michael N. Hallquist, & Beatríz Luna. (2017). Protracted development of executive and mnemonic brain systems underlying working memory in adolescence: A longitudinal fMRI study. NeuroImage. 157. 695–704. 65 indexed citations
4.
Jalbrzikowski, Maria, et al.. (2017). Differentiating between clinical and behavioral phenotypes in first-episode psychosis during maintenance of visuospatial working memory. Schizophrenia Research. 197. 357–364. 13 indexed citations
5.
Lynn, Andrew, Aarthi Padmanabhan, Daniel J. Simmonds, et al.. (2016). Functional connectivity differences in autism during face and car recognition: underconnectivity and atypical age‐related changes. Developmental Science. 21(1). 31 indexed citations
6.
Simmonds, Daniel J.. (2015). Protracted development of brain systems underlying working memory in adolescence: A longitudinal study. D-Scholarship@Pitt (University of Pittsburgh). 2 indexed citations
7.
Simmonds, Daniel J., Michael N. Hallquist, Miya R. Asato, & Beatríz Luna. (2014). Developmental stages and sex differences of white matter and behavioral development through adolescence: A longitudinal diffusion tensor imaging (DTI) study. NeuroImage. 92. 356–368. 317 indexed citations
8.
Mostofsky, Stewart H., et al.. (2009). Decreased connectivity and cerebellar activity in autism during motor task performance. Brain. 132(9). 2413–2425. 333 indexed citations
9.
Vaurio, Rebecca, Daniel J. Simmonds, & Stewart H. Mostofsky. (2009). Increased intra-individual reaction time variability in attention-deficit/hyperactivity disorder across response inhibition tasks with different cognitive demands. Neuropsychologia. 47(12). 2389–2396. 207 indexed citations
10.
Mostofsky, Stewart H. & Daniel J. Simmonds. (2008). Response Inhibition and Response Selection: Two Sides of the Same Coin. Journal of Cognitive Neuroscience. 20(5). 751–761. 407 indexed citations
11.
Harris, James C., Godfrey D. Pearlson, Vince D. Calhoun, et al.. (2008). fMRI evidence for multisensory recruitment associated with rapid eye movements during sleep. Human Brain Mapping. 30(5). 1705–1722. 84 indexed citations
12.
Suskauer, Stacy J., Daniel J. Simmonds, Brian Caffo, et al.. (2008). fMRI of Intrasubject Variability in ADHD: Anomalous Premotor Activity With Prefrontal Compensation. Journal of the American Academy of Child & Adolescent Psychiatry. 47(10). 1141–1150. 128 indexed citations
14.
Wodka, Ericka L., Daniel J. Simmonds, E. Mark Mahone, & Stewart H. Mostofsky. (2008). Moderate variability in stimulus presentation improves motor response control. Journal of Clinical and Experimental Neuropsychology. 31(4). 483–488. 35 indexed citations
15.
Simmonds, Daniel J., et al.. (2007). Functional brain correlates of response time variability in children. Neuropsychologia. 45(9). 2147–2157. 123 indexed citations
16.
Simmonds, Daniel J., James J. Pekar, & Stewart H. Mostofsky. (2007). Meta-analysis of Go/No-go tasks demonstrating that fMRI activation associated with response inhibition is task-dependent. Neuropsychologia. 46(1). 224–232. 788 indexed citations breakdown →

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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