Daniel J. Shaw

1.3k total citations
61 papers, 750 citations indexed

About

Daniel J. Shaw is a scholar working on Cognitive Neuroscience, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Daniel J. Shaw has authored 61 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 17 papers in Social Psychology and 7 papers in Sociology and Political Science. Recurrent topics in Daniel J. Shaw's work include Neural and Behavioral Psychology Studies (19 papers), Action Observation and Synchronization (13 papers) and Functional Brain Connectivity Studies (13 papers). Daniel J. Shaw is often cited by papers focused on Neural and Behavioral Psychology Studies (19 papers), Action Observation and Synchronization (13 papers) and Functional Brain Connectivity Studies (13 papers). Daniel J. Shaw collaborates with scholars based in Czechia, United Kingdom and United States. Daniel J. Shaw's co-authors include Kristína Czekóová, Milan Brázdil, Bryan T. Grenfell, Kenneth Wilson, Radek Mareček, Martin Bareš, Tomáš Urbánek, Dimitris Xygalatas, Gabriel Leonard and Tomáš Paus and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Daniel J. Shaw

60 papers receiving 735 citations

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. Shaw Czechia 16 331 183 93 88 82 61 750
Liliana de Sousa Portugal 18 176 0.5× 204 1.1× 59 0.6× 23 0.3× 74 0.9× 58 901
Maria Clotilde Henriques Tavares Brazil 16 262 0.8× 279 1.5× 83 0.9× 32 0.4× 66 0.8× 57 787
Lincoln Gray United States 24 657 2.0× 67 0.4× 122 1.3× 36 0.4× 59 0.7× 88 1.9k
J. Wesley Burgess United States 19 157 0.5× 100 0.5× 61 0.7× 30 0.3× 114 1.4× 42 838
Marta Borgi Italy 16 346 1.0× 307 1.7× 160 1.7× 15 0.2× 139 1.7× 41 1.2k
R.E. Passingham United Kingdom 9 341 1.0× 284 1.6× 125 1.3× 23 0.3× 29 0.4× 18 853
P. Thomas Schoenemann United States 12 328 1.0× 264 1.4× 120 1.3× 16 0.2× 21 0.3× 24 875
Lisa Lit United States 17 394 1.2× 70 0.4× 43 0.5× 46 0.5× 125 1.5× 24 1.2k
Koji Shimada Japan 18 272 0.8× 185 1.0× 59 0.6× 9 0.1× 89 1.1× 36 789

Countries citing papers authored by Daniel J. Shaw

Since Specialization
Citations

This map shows the geographic impact of Daniel J. Shaw'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. Shaw 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. Shaw more than expected).

Fields of papers citing papers by Daniel J. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Shaw. A scholar is included among the top collaborators of Daniel J. Shaw 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. Shaw. Daniel J. Shaw 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.
Czekóová, Kristína, Radek Mareček, Calum Hartley, et al.. (2025). Altered Patterns of Dynamic Functional Connectivity Underpin Reduced Expressions of Social–Emotional Reciprocity in Autistic Adults. Autism Research. 18(4). 725–740.
2.
Pennington, Charlotte R., et al.. (2025). Are we capturing individual differences? Evaluating the test–retest reliability of experimental tasks used to measure social cognitive abilities. Behavior Research Methods. 57(2). 82–82. 1 indexed citations
3.
Pennington, Charlotte R., et al.. (2023). Relationships between the race implicit association test and other measures of implicit and explicit social cognition. Frontiers in Psychology. 14. 1197298–1197298. 2 indexed citations
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Kessler, Klaus, et al.. (2022). Take my advice: Physiological measures reveal that intrinsic emotion regulation is more effective under external guidance. International Journal of Psychophysiology. 180. 49–59. 2 indexed citations
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Pennington, Charlotte R., et al.. (2021). Raising the bar: improving methodological rigour in cognitive alcohol research. Addiction. 116(11). 3243–3251. 11 indexed citations
9.
Pennington, Charlotte R., et al.. (2020). Where's the wine? Heavy social drinkers show attentional bias towards alcohol in a visual conjunction search task. Addiction. 115(9). 1650–1659. 19 indexed citations
10.
Shaw, Daniel J., Martin Gajdoš, Radek Mareček, et al.. (2020). You took the words right out of my mouth: Dual-fMRI reveals intra- and inter-personal neural processes supporting verbal interaction.. NeuroImage. 228. 117697–117697. 15 indexed citations
11.
Czekóová, Kristína, Daniel J. Shaw, Michal Dufek, et al.. (2019). Impaired Self-Other Distinction and Subcortical Gray-Matter Alterations Characterize Socio-Cognitive Disturbances in Multiple Sclerosis. Frontiers in Neurology. 10. 525–525. 17 indexed citations
12.
Mareček, Radek, et al.. (2018). Hippocampal involvement in nonpathological déjà vu: Subfield vulnerability rather than temporal lobe epilepsy equivalent. Brain and Behavior. 8(7). e00996–e00996. 4 indexed citations
13.
Czekóová, Kristína, et al.. (2017). Social cognition and idiopathic isolated cervical dystonia. Journal of Neural Transmission. 124(9). 1097–1104. 31 indexed citations
14.
Shaw, Daniel J., et al.. (2016). Orthogonal-compatibility effects confound automatic imitation: implications for measuring self–other distinction. Psychological Research. 81(6). 1152–1165. 9 indexed citations
15.
Shaw, Daniel J., Radek Mareček, Marie‐Hélène Grosbras, et al.. (2016). Co-ordinated structural and functional covariance in the adolescent brain underlies face processing performance. Social Cognitive and Affective Neuroscience. 11(4). 556–568. 10 indexed citations
16.
Czekóová, Kristína, Daniel J. Shaw, Eva Janoušová, & Tomáš Urbánek. (2015). It's all in the past: temporal-context effects modulate subjective evaluations of emotional visual stimuli, regardless of presentation sequence. Frontiers in Psychology. 6. 367–367. 11 indexed citations
17.
Shaw, Daniel J. & Kristína Czekóová. (2013). Exploring the Development of the Mirror Neuron System: Finding the Right Paradigm. Developmental Neuropsychology. 38(4). 256–271. 7 indexed citations
18.
Světlák, Miroslav, Petr Bob, Róbert Román, et al.. (2013). Stress-Induced Alterations of Left-Right Electrodermal Activity Coupling Indexed by Pointwise Transinformation. Physiological Research. 62(6). 711–719. 6 indexed citations
19.
Mareček, Radek, Michal Mikl, Kristína Czekóová, et al.. (2013). Functional anatomy of outcome evaluation during Iowa Gambling Task performance in patients with Parkinson’s disease: an fMRI study. Neurological Sciences. 34(12). 2159–2166. 24 indexed citations
20.
Shaw, Daniel J., et al.. (2010). Identification of a self-association domain in the Ewing's sarcoma protein: a novel function for arginine-glycine-glycine rich motifs?. The Journal of Biochemistry. 147(6). 885–893. 17 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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