John B. Colby

995 total citations
16 papers, 690 citations indexed

About

John B. Colby is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, John B. Colby has authored 16 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Cognitive Neuroscience and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in John B. Colby's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Neonatal and fetal brain pathology (4 papers). John B. Colby is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Neonatal and fetal brain pathology (4 papers). John B. Colby collaborates with scholars based in United States. John B. Colby's co-authors include Elizabeth R. Sowell, Paul M. Thompson, Jeffrey D. Rudie, Catherine Lebel, Ivo D. Dinov, John D. Van Horn, Mark S. Cohen, Pamela K. Douglas, Jesse A. Brown and Zarrar Shehzad and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and American Journal of Ophthalmology.

In The Last Decade

John B. Colby

16 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John B. Colby United States	13	367	282	158	137	81	16	690
Shawna Farquharson Australia	10	429 1.2×	219 0.8×	141 0.9×	140 1.0×	76 0.9×	20	828
Ryuta Ito Japan	13	257 0.7×	265 0.9×	62 0.4×	60 0.4×	188 2.3×	28	671
Davide Carone Italy	14	204 0.6×	384 1.4×	168 1.1×	108 0.8×	65 0.8×	31	751
Dewi Schrader Canada	11	293 0.8×	302 1.1×	369 2.3×	201 1.5×	38 0.5×	18	736
Peter Neher Germany	13	785 2.1×	225 0.8×	86 0.5×	232 1.7×	57 0.7×	35	997
Timo Tuovinen Finland	16	254 0.7×	329 1.2×	82 0.5×	128 0.9×	46 0.6×	36	900
Karl‐Heinz Nenning Austria	13	219 0.6×	283 1.0×	63 0.4×	54 0.4×	31 0.4×	38	617
Yurui Gao United States	18	996 2.7×	641 2.3×	134 0.8×	161 1.2×	34 0.4×	48	1.3k
Giada Zoccatelli Italy	14	250 0.7×	292 1.0×	266 1.7×	33 0.2×	100 1.2×	26	723

Countries citing papers authored by John B. Colby

Since Specialization

Citations

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

Fields of papers citing papers by John B. Colby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John B. Colby

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

All Works

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16 of 16 papers shown

Rudie, Jeffrey D., David Weiß, Evan Calabrese, et al.. (2024). The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset. Radiology Artificial Intelligence. 6(2). e230126–e230126. 10 indexed citations

Rudie, Jeffrey D., Evan Calabrese, David Weiß, et al.. (2022). Longitudinal Assessment of Posttreatment Diffuse Glioma Tissue Volumes with Three-dimensional Convolutional Neural Networks. Radiology Artificial Intelligence. 4(5). e210243–e210243. 14 indexed citations

Rauschecker, Andreas M., Michael Tran Duong, David Weiß, et al.. (2021). Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm. Radiology Artificial Intelligence. 4(1). e200152–e200152. 16 indexed citations

Rudie, Jeffrey D., David Weiß, John B. Colby, et al.. (2021). Three-dimensional U-Net Convolutional Neural Network for Detection and Segmentation of Intracranial Metastases. Radiology Artificial Intelligence. 3(3). e200204–e200204. 37 indexed citations

Rudie, Jeffrey D., David Weiß, Andreas M. Rauschecker, et al.. (2019). Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. Frontiers in Computational Neuroscience. 13. 84–84. 30 indexed citations

Kalin-Hajdu, Evan, John B. Colby, Oluwatobi O. Idowu, et al.. (2018). Diagnosing Distensible Venous Malformations of the Orbit With Diffusion-weighted Magnetic Resonance Imaging. American Journal of Ophthalmology. 189. 146–154. 9 indexed citations

Rudie, Jeffrey D., John B. Colby, & Noriko Salamon. (2015). Machine learning classification of mesial temporal sclerosis in epilepsy patients. Epilepsy Research. 117. 63–69. 37 indexed citations

Roussotte, Florence F., et al.. (2014). Combined Effects of Alzheimer Risk Variants in theCLUandApoEGenes on Ventricular Expansion Patterns in the Elderly. Journal of Neuroscience. 34(19). 6537–6545. 44 indexed citations

Roussotte, Florence F., Boris A. Gutman, Sarah K. Madsen, et al.. (2013). The apolipoprotein E epsilon 4 allele is associated with ventricular expansion rate and surface morphology in dementia and normal aging. Neurobiology of Aging. 35(6). 1309–1317. 25 indexed citations

10.

Lebel, Catherine, Tamara D. Warner, John B. Colby, et al.. (2013). White matter microstructure abnormalities and executive function in adolescents with prenatal cocaine exposure. Psychiatry Research Neuroimaging. 213(2). 161–168. 32 indexed citations

11.

Herting, Megan M., John B. Colby, Elizabeth R. Sowell, & Bonnie J. Nagel. (2013). White matter connectivity and aerobic fitness in male adolescents. Developmental Cognitive Neuroscience. 7. 65–75. 55 indexed citations

12.

Colby, John B., Lynne M. Smith, Mary J. O’Connor, et al.. (2012). White matter microstructural alterations in children with prenatal methamphetamine/polydrug exposure. Psychiatry Research Neuroimaging. 204(2-3). 140–148. 40 indexed citations

13.

Colby, John B., Jeffrey D. Rudie, Jesse A. Brown, et al.. (2012). Insights into multimodal imaging classification of ADHD. Frontiers in Systems Neuroscience. 6. 59–59. 104 indexed citations

14.

Colby, John B.. (2012). Development of human brain connectivity in health and disease. eScholarship (California Digital Library). 1 indexed citations

15.

Colby, John B., et al.. (2011). Along-tract statistics allow for enhanced tractography analysis. NeuroImage. 59(4). 3227–3242. 177 indexed citations

16.

Colby, John B., John D. Van Horn, & Elizabeth R. Sowell. (2010). Quantitative in vivo evidence for broad regional gradients in the timing of white matter maturation during adolescence. NeuroImage. 54(1). 25–31. 59 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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