Daniel Griffiths-King

1.6k total citations
44 papers, 1.2k citations indexed

About

Daniel Griffiths-King is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel Griffiths-King has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 9 papers in Pediatrics, Perinatology and Child Health and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel Griffiths-King's work include Schizophrenia research and treatment (11 papers), Fatty Acid Research and Health (7 papers) and Traumatic Brain Injury Research (5 papers). Daniel Griffiths-King is often cited by papers focused on Schizophrenia research and treatment (11 papers), Fatty Acid Research and Health (7 papers) and Traumatic Brain Injury Research (5 papers). Daniel Griffiths-King collaborates with scholars based in United Kingdom, Australia and Canada. Daniel Griffiths-King's co-authors include Sheila M. Innis, Yi-Fan Liou, Roger Dyer, Amanda Wood, Ziba Vaghri, Irene Sperandio, Philippe A. Chouinard, Joanne Hodgekins, Stephen Cooper and J Schlom and has published in prestigious journals such as PLoS ONE, NeuroImage and American Journal of Psychiatry.

In The Last Decade

Daniel Griffiths-King

39 papers receiving 1.1k 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 Griffiths-King United Kingdom 18 394 244 176 154 147 44 1.2k
K J Zilkha United Kingdom 26 198 0.5× 91 0.4× 48 0.3× 286 1.9× 440 3.0× 55 1.7k
Domingo J. Piñero United States 14 390 1.0× 155 0.6× 26 0.1× 148 1.0× 78 0.5× 20 1.1k
David Baird Coursin United States 17 299 0.8× 230 0.9× 13 0.1× 197 1.3× 168 1.1× 50 1.4k
Athanasios Evangeliou Greece 19 70 0.2× 131 0.5× 20 0.1× 297 1.9× 216 1.5× 76 1.2k
Riikka Rontu Finland 25 44 0.1× 89 0.4× 56 0.3× 300 1.9× 234 1.6× 62 1.7k
Suman Kushwaha India 19 70 0.2× 74 0.3× 59 0.3× 238 1.5× 211 1.4× 84 1.0k
Andrej Stoll United States 20 138 0.4× 68 0.3× 25 0.1× 219 1.4× 796 5.4× 33 1.6k
H A Ross Netherlands 28 61 0.2× 315 1.3× 70 0.4× 398 2.6× 73 0.5× 73 2.6k
Lisa D. Coles United States 17 40 0.1× 248 1.0× 38 0.2× 219 1.4× 287 2.0× 48 1.1k

Countries citing papers authored by Daniel Griffiths-King

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Griffiths-King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Griffiths-King. 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 Griffiths-King. The network helps show where Daniel Griffiths-King may publish in the future.

Co-authorship network of co-authors of Daniel Griffiths-King

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Griffiths-King. A scholar is included among the top collaborators of Daniel Griffiths-King 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 Griffiths-King. Daniel Griffiths-King 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.
Griffiths-King, Daniel, et al.. (2025). What is radiomics?. Archives of Disease in Childhood Education & Practice. edpract–2024.
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Griffiths-King, Daniel, Stefano Seri, Cathy Catroppa, Vicki Anderson, & Amanda Wood. (2024). Network analysis of structural MRI predicts executive function in paediatric traumatic brain injury. NeuroImage Clinical. 44. 103685–103685.
4.
Griffiths-King, Daniel, Amanda Wood, & Jan Novák. (2023). Predicting ‘Brainage’ in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning. Scientific Reports. 13(1). 15591–15591. 2 indexed citations
5.
Sperandio, Irene, et al.. (2023). Visual illusions in young people reporting psychotic-like experiences. Journal of Behavior Therapy and Experimental Psychiatry. 79. 101839–101839. 3 indexed citations
6.
Griffiths-King, Daniel, Stefano Seri, Cathy Catroppa, Vicki Anderson, & Amanda Wood. (2021). Structural-covariance networks identify topology-based cortical-thickness changes in children with persistent executive function impairments after traumatic brain injury. NeuroImage. 244. 118612–118612. 4 indexed citations
7.
Griffiths-King, Daniel, Stefano Seri, Richard Beare, et al.. (2020). Developmental divergence of structural brain networks as an indicator of future cognitive impairments in childhood brain injury: Executive functions. Developmental Cognitive Neuroscience. 42. 100762–100762. 12 indexed citations
8.
Griffiths-King, Daniel, et al.. (2019). A systematic review of cross-sectional differences and longitudinal changes to the morphometry of the brain following paediatric traumatic brain injury. NeuroImage Clinical. 23. 101844–101844. 15 indexed citations
9.
Chambers, Chris, Kirstie Whitaker, Thomas Leroy James, et al.. (2018). UK-ORWG1 Aston 2019. OSF Preprints (OSF Preprints).
10.
Griffiths-King, Daniel, et al.. (2016). A review of abnormalities in the perception of visual illusions in schizophrenia. Psychonomic Bulletin & Review. 24(3). 734–751. 71 indexed citations
11.
Griffiths-King, Daniel, et al.. (2014). Omega-3 Fatty Acid Deficiency in Infants before Birth Identified Using a Randomized Trial of Maternal DHA Supplementation in Pregnancy. PLoS ONE. 9(1). e83764–e83764. 62 indexed citations
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Dyer, Roger, et al.. (2012). Early Second Trimester Maternal Plasma Choline and Betaine Are Related to Measures of Early Cognitive Development in Term Infants. PLoS ONE. 7(8). e43448–e43448. 125 indexed citations
14.
Novak, Elizabeth M., Daniel Griffiths-King, & Sheila M. Innis. (2012). Low linoleic acid may facilitate Δ6 desaturase activity and docosahexaenoic acid accretion in human fetal development. Prostaglandins Leukotrienes and Essential Fatty Acids. 86(3). 93–98. 20 indexed citations
15.
Innis, Sheila M., Ziba Vaghri, & Daniel Griffiths-King. (2004). n−6 Docosapentaenoic acid is not a predictor of low docosahexaenoic acid status in Canadian preschool children. American Journal of Clinical Nutrition. 80(3). 768–773. 49 indexed citations
16.
Casey, John, et al.. (1999). Improved tumour targeting of di-Fab ' fragments modified with polyethylene glycol. UCL Discovery (University College London). 3 indexed citations
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Casey, Joanne L., et al.. (1999). Dosimetric evaluation and radioimmunotherapy of anti-tumour multivalent Fab′ fragments. British Journal of Cancer. 81(6). 972–980. 23 indexed citations
19.
Ingram, A., Daniel Griffiths-King, P. Grasso, & M. Sharratt. (1993). The early changes in mouse skin following topical application of a range of middle distillate oil products. Journal of Applied Toxicology. 13(4). 247–257. 18 indexed citations
20.
Owens, Raymond J., et al.. (1991). Tumour binding properties of B72.3 Fv fragments.. UCL Discovery (University College London). 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.

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