Philip Shaw

20.1k total citations · 7 hit papers
114 papers, 12.1k citations indexed

About

Philip Shaw is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Philip Shaw has authored 114 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Psychiatry and Mental health, 68 papers in Cognitive Neuroscience and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Philip Shaw's work include Attention Deficit Hyperactivity Disorder (53 papers), Functional Brain Connectivity Studies (53 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Philip Shaw is often cited by papers focused on Attention Deficit Hyperactivity Disorder (53 papers), Functional Brain Connectivity Studies (53 papers) and Advanced Neuroimaging Techniques and Applications (18 papers). Philip Shaw collaborates with scholars based in United States, United Kingdom and Canada. Philip Shaw's co-authors include Jay N. Giedd, Judith L. Rapoport, Deanna Greenstein, Alan C. Evans, Liv Clasen, Jason P. Lerch, Wendy Sharp, Nitin Gogtay, Rhoshel Lenroot and Anthony S. David and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Philip Shaw

111 papers receiving 11.7k citations

Hit Papers

5 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.

Neurodevelopmental Trajectories of the Human Cerebral Cortex

2008 1.2k citations Philip Shaw, Jason P. Lerch et al. profile →
Attention-deficit/hyperactivity disorder is characterized by a delay in cortical maturation

2007 1.2k citations Philip Shaw, Wendy Sharp et al. profile →
Intellectual ability and cortical development in children and adolescents

2006 1.1k citations Philip Shaw, Deanna Greenstein et al. profile →
Emotion Dysregulation in Attention Deficit Hyperactivity Disorder

2014 787 citations Philip Shaw, Ellen Leibenluft et al. profile →
Measuring empathy: reliability and validity of the Empathy Quotient

2004 729 citations Emma Lawrence, Philip Shaw et al. Psychological Medicine profile →
Longitudinal Mapping of Cortical Thickness and Clinical Outcome in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder

2006 529 citations Philip Shaw, Jason P. Lerch et al. Archives of General Psychiatry profile →
How Does Your Cortex Grow?

2011 529 citations Philip Shaw, Liv Clasen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Shaw United States	43	7.3k	5.7k	1.9k	1.8k	1.6k	114	12.1k
Sarah Durston Netherlands	51	7.0k 1.0×	4.1k 0.7×	1.6k 0.9×	1.2k 0.6×	1.2k 0.8×	118	11.1k
Deanna Greenstein United States	51	8.3k 1.1×	5.0k 0.9×	1.9k 1.0×	2.6k 1.4×	1.8k 1.1×	93	15.2k
Robin G. Morris United Kingdom	70	6.3k 0.9×	5.9k 1.0×	2.2k 1.2×	2.0k 1.1×	1.6k 1.0×	319	15.3k
Rhoshel Lenroot Australia	51	6.0k 0.8×	2.7k 0.5×	1.8k 0.9×	2.4k 1.3×	1.7k 1.1×	136	12.5k
Beatríz Luna United States	63	9.5k 1.3×	2.5k 0.4×	2.2k 1.2×	1.7k 0.9×	2.2k 1.4×	186	14.3k
Liv Clasen United States	50	9.8k 1.4×	4.6k 0.8×	2.1k 1.1×	3.3k 1.8×	2.5k 1.5×	121	17.1k
Stewart H. Mostofsky United States	65	11.3k 1.6×	6.2k 1.1×	1.8k 1.0×	1.3k 0.7×	1.0k 0.6×	255	14.8k
Iris E. Sommer Netherlands	64	6.6k 0.9×	6.3k 1.1×	2.1k 1.1×	1.4k 0.8×	1.8k 1.1×	361	15.3k
Jason P. Lerch Canada	59	8.1k 1.1×	3.9k 0.7×	1.0k 0.6×	3.2k 1.8×	1.5k 0.9×	170	15.8k
Gregory L. Wallace United States	57	8.8k 1.2×	3.2k 0.6×	3.2k 1.7×	1.2k 0.7×	1.1k 0.7×	150	11.7k

Countries citing papers authored by Philip Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Philip Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Shaw

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Meijer, Mandy, Gustavo Sudre, Kwangmi Ahn, Xiaoqing Fu, & Philip Shaw. (2025). Brain region and cell type-specific DNA methylation profiles in association with ADHD. Scientific Reports. 15(1). 35078–35078. 1 indexed citations

Shastri, Gauri G., Gustavo Sudre, Kwangmi Ahn, et al.. (2024). Examining epigenetic aging in the post-mortem brain in attention deficit hyperactivity disorder. Frontiers in Genetics. 15. 1480761–1480761.

Norman, Luke & Philip Shaw. (2024). Harnessing mega-analysis in the era of “big data” neuroimaging. Neuropsychopharmacology. 50(1). 332–334. 1 indexed citations

Shaw, Philip, et al.. (2023). The macroeconomic implications of corruption in the choice to educate. Economic Systems. 47(2). 101074–101074. 3 indexed citations

Norman, Luke, et al.. (2023). Longitudinal trajectories of childhood and adolescent attention deficit hyperactivity disorder diagnoses in three cohorts. EClinicalMedicine. 60. 102021–102021. 8 indexed citations

Michelini, Giorgia, Luke Norman, Philip Shaw, & Sandra K. Loo. (2022). Treatment biomarkers for ADHD: Taking stock and moving forward. Translational Psychiatry. 12(1). 444–444. 26 indexed citations

Norman, Luke, et al.. (2022). Evidence from “big data” for the default-mode hypothesis of ADHD: a mega-analysis of multiple large samples. Neuropsychopharmacology. 48(2). 281–289. 23 indexed citations

Jung, Benjamin, Kwangmi Ahn, Cristina M. Justice, et al.. (2022). Rare copy number variants in males and females with childhood attention-deficit/hyperactivity disorder. Molecular Psychiatry. 28(3). 1240–1247. 5 indexed citations

Linke, Julia, Simone P. Haller, Andrew Ross, et al.. (2022). Persistent Frustration-Induced Reconfigurations of Brain Networks Predict Individual Differences in Irritability. Journal of the American Academy of Child & Adolescent Psychiatry. 62(6). 684–695. 7 indexed citations

10.

Sharp, Wendy, et al.. (2019). Associations between neighborhood, family factors and symptom change in childhood attention deficit hyperactivity disorder. Social Science & Medicine. 271. 112203–112203. 14 indexed citations

11.

Hoogman, Martine, Ryan L. Muetzel, Jan K. Buitelaar, et al.. (2019). 16. Brain Imaging of ADHD Across the Lifespan – Results of the Largest Study Worldwide From the Enigma ADHD Working Group. Biological Psychiatry. 85(10). S6–S7. 2 indexed citations

12.

Chen, Yee‐Chun, Gustavo Sudre, Wendy Sharp, et al.. (2017). Neuroanatomic, epigenetic and genetic differences in monozygotic twins discordant for attention deficit hyperactivity disorder. Molecular Psychiatry. 23(3). 683–690. 42 indexed citations

13.

Shaw, Philip, Bethany Watson, Min Tae M Park, et al.. (2016). Defining the neuroanatomic basis of motor coordination in children and its relationship with symptoms of attention-deficit/hyperactivity disorder. Psychological Medicine. 46(11). 2363–2373. 22 indexed citations

14.

Shaw, Philip, et al.. (2015). Nonparametric Instrumental Variable Estimation in Practice. 5(1). 153–177. 1 indexed citations

15.

Shaw, Philip, Nitin Gogtay, & Judith L. Rapoport. (2010). Childhood psychiatric disorders as anomalies in neurodevelopmental trajectories. Human Brain Mapping. 31(6). 917–925. 144 indexed citations

16.

Shaw, Philip. (2007). Intelligence and the developing human brain. BioEssays. 29(10). 962–973. 42 indexed citations

17.

Shaw, Philip, Jason P. Lerch, Deanna Greenstein, et al.. (2006). Longitudinal Mapping of Cortical Thickness and Clinical Outcome in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder. Archives of General Psychiatry. 63(5). 540–540. 529 indexed citations breakdown →

18.

Gochman, Peter, Deanna Greenstein, Alexandra Sporn, et al.. (2005). IQ stabilization in childhood-onset schizophrenia. Schizophrenia Research. 77(2-3). 271–277. 44 indexed citations

19.

Cutter, William J., Eileen Daly, Dene Robertson, et al.. (2005). Influence of X Chromosome and Hormones on Human Brain Development: A Magnetic Resonance Imaging and Proton Magnetic Resonance Spectroscopy Study of Turner Syndrome. Biological Psychiatry. 59(3). 273–283. 82 indexed citations

20.

Lawrence, Emma, Philip Shaw, Vincent Giampietro, et al.. (2005). The role of ‘shared representations’ in social perception and empathy: An fMRI study. NeuroImage. 29(4). 1173–1184. 160 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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