John D. Lewis

4.2k total citations
83 papers, 2.1k citations indexed

About

John D. Lewis is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John D. Lewis has authored 83 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 27 papers in Pediatrics, Perinatology and Child Health and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John D. Lewis's work include Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Autism Spectrum Disorder Research (14 papers). John D. Lewis is often cited by papers focused on Functional Brain Connectivity Studies (25 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Autism Spectrum Disorder Research (14 papers). John D. Lewis collaborates with scholars based in Canada, United States and Finland. John D. Lewis's co-authors include Alan C. Evans, Christian O’Reilly, Mayada Elsabbagh, Budhachandra Khundrakpam, Jeffrey L. Elman, Jussi Tohka, Penelope Kostopoulos, Lonnie Zwaigenbaum, Félix Carbonell and François Chouinard-Decorte and has published in prestigious journals such as Gastroenterology, PLoS ONE and NeuroImage.

In The Last Decade

John D. Lewis

79 papers receiving 2.1k citations

Peers

John D. Lewis
James T. Voyvodic United States
John D. Lewis
Citations per year, relative to John D. Lewis John D. Lewis (= 1×) peers James T. Voyvodic

Countries citing papers authored by John D. Lewis

Since Specialization
Citations

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

Fields of papers citing papers by John D. Lewis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Lewis. 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 John D. Lewis. The network helps show where John D. Lewis may publish in the future.

Co-authorship network of co-authors of John D. Lewis

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Lewis. A scholar is included among the top collaborators of John D. Lewis 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 John D. Lewis. John D. Lewis 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.
Merisaari, Harri, John D. Lewis, Minna Lukkarinen, et al.. (2025). Associations between maternal pre-pregnancy BMI and mean diffusivity of the hippocampus and amygdala in infants. International Journal of Obesity. 49(5). 938–941. 1 indexed citations
2.
Cook, Sarah, Kosuke Takemura, Daniel Yick Chin Heng, et al.. (2024). Real-world Clinical Outcomes and Prognostic Factors in Neuroendocrine Prostate Cancer. Clinical Genitourinary Cancer. 23(1). 102274–102274. 1 indexed citations
3.
Merisaari, Harri, John D. Lewis, Minna Lukkarinen, et al.. (2024). Associations between maternal pre-pregnancy BMI and infant striatal mean diffusivity. BMC Medicine. 22(1). 140–140. 4 indexed citations
4.
Kantojärvi, Katri, Jetro J. Tuulari, John D. Lewis, et al.. (2023). Association of cumulative prenatal adversity with infant subcortical structure volumes and child problem behavior and its moderation by a coexpression polygenic risk score of the serotonin system. Development and Psychopathology. 36(3). 1027–1042. 3 indexed citations
5.
Tuulari, Jetro J., Harri Merisaari, John D. Lewis, et al.. (2023). Prenatal maternal depressive symptoms are associated with neonatal left amygdala microstructure in a sex‐dependent way. European Journal of Neuroscience. 57(10). 1671–1688. 6 indexed citations
6.
Merisaari, Harri, Linnéa Karlsson, Noora M. Scheinin, et al.. (2023). Effect of number of diffusion encoding directions in neonatal diffusion tensor imaging using Tract‐Based Spatial Statistical analysis. European Journal of Neuroscience. 58(8). 3827–3837. 1 indexed citations
7.
Beauchamp, Erwan, Katia Carmine-Simmen, Abul Kalam Azad, et al.. (2023). Abstract 3620: N-myristoylation inhibition reduces angiogenesis and cancer cell migration. Cancer Research. 83(7_Supplement). 3620–3620. 1 indexed citations
8.
Merisaari, Harri, John D. Lewis, Ekaterina Saukko, et al.. (2023). Sex differences, asymmetry, and age‐related white matter development in infants and 5‐year‐olds as assessed with tract‐based spatial statistics. Human Brain Mapping. 44(7). 2712–2725. 13 indexed citations
9.
Merisaari, Harri, John D. Lewis, Ekaterina Saukko, et al.. (2022). Effect of number of diffusion‐encoding directions in diffusion metrics of 5‐year‐olds using tract‐based spatial statistical analysis. European Journal of Neuroscience. 56(6). 4843–4868. 6 indexed citations
10.
Lehtola, Satu J., Jetro J. Tuulari, Linnéa Karlsson, et al.. (2022). Sex-specific associations between maternal pregnancy-specific anxiety and newborn amygdalar volumes - preliminary findings from the FinnBrain Birth Cohort Study. Stress. 25(1). 213–226. 2 indexed citations
11.
Nolvi, Saara, Jetro J. Tuulari, Juho Pelto, et al.. (2021). Neonatal amygdala volumes and the development of self-regulation from early infancy to toddlerhood.. Neuropsychology. 35(3). 285–299. 6 indexed citations
12.
Kantojärvi, Katri, Juho Pelto, Noora M. Scheinin, et al.. (2020). Partial Support for an Interaction Between a Polygenic Risk Score for Major Depressive Disorder and Prenatal Maternal Depressive Symptoms on Infant Right Amygdalar Volumes. Cerebral Cortex. 30(12). 6121–6134. 21 indexed citations
13.
Khundrakpam, Budhachandra, Andrew Reid, John D. Lewis, et al.. (2016). \nScaling in topological properties of brain networks. Radboud Repository (Radboud University). 18 indexed citations
14.
Foster, Nicholas E.V., Krissy A.R. Doyle‐Thomas, Ana Tryfon, et al.. (2015). Structural Gray Matter Differences During Childhood Development in Autism Spectrum Disorder: A Multimetric Approach. Pediatric Neurology. 53(4). 350–359. 46 indexed citations
15.
Lewis, John D., et al.. (2010). El dividendo digital: oportunidades y retos. Hispana. 27–30. 2 indexed citations
16.
Tucker, William David, et al.. (2003). SoftBridge in action: the first Deaf telephony pilot. Gastroenterology. 80(3). 566–74. 9 indexed citations
17.
Lewis, John D., et al.. (1997). JHL volume 71 issue 2 Cover and Front matter. Journal of Helminthology. 71(2). f1–f4. 1 indexed citations
18.
Henley, Michael V., et al.. (1993). Prognostic value of noninvasive cardiac tests in the assessment of patients with peripheral vascular disease. The American Journal of Cardiology. 71(1). 40–44. 11 indexed citations
19.
Paraf, François, John D. Lewis, & Serge Jothy. (1993). Acute Fatty Liver of Pregnancy After Exposure to Toluene. Journal of Clinical Gastroenterology. 17(2). 163–165. 3 indexed citations
20.
MacDonald, Bruce A. & John D. Lewis. (1990). XINTERFACE: A DYNAMICALLY CONFIGURABLE PROCESS LEVEL INTERFACE TO X. PRISM (University of Calgary). 1 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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