Ben A. Duffy

1.0k total citations
26 papers, 655 citations indexed

About

Ben A. Duffy is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ben A. Duffy has authored 26 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ben A. Duffy's work include Functional Brain Connectivity Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Ben A. Duffy is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (6 papers). Ben A. Duffy collaborates with scholars based in United States, United Kingdom and South Korea. Ben A. Duffy's co-authors include ManKin Choy, Hosung Kim, Mark F. Lythgoe, Jin Hyung Lee, Jin Hyung Lee, Rod C. Scott, Arthur W. Toga, David Bernal‐Casas, Lu Zhao and Hyun Joo Lee and has published in prestigious journals such as Neuron, PLoS ONE and NeuroImage.

In The Last Decade

Ben A. Duffy

26 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben A. Duffy United States 17 222 220 156 74 71 26 655
Michael I. Miller United States 9 122 0.5× 85 0.4× 101 0.6× 70 0.9× 83 1.2× 12 441
Julien Dauguet France 11 171 0.8× 201 0.9× 288 1.8× 22 0.3× 101 1.4× 25 756
María de la Iglesia-Vayá Spain 13 173 0.8× 73 0.3× 393 2.5× 72 1.0× 116 1.6× 47 867
Guoming Luan China 15 238 1.1× 209 0.9× 55 0.4× 218 2.9× 71 1.0× 70 767
Joshua Cappell United States 13 447 2.0× 190 0.9× 173 1.1× 122 1.6× 37 0.5× 21 725
Pallavi Rane United States 7 252 1.1× 68 0.3× 101 0.6× 49 0.7× 86 1.2× 9 421
Kenneth P. Vives United States 14 88 0.4× 227 1.0× 131 0.8× 198 2.7× 119 1.7× 29 662
Masami Goto Japan 16 272 1.2× 63 0.3× 477 3.1× 108 1.5× 52 0.7× 61 881
Anne‐Marie van Cappellen van Walsum Netherlands 18 444 2.0× 101 0.5× 421 2.7× 96 1.3× 84 1.2× 30 1.1k
Lindsay B. Lewis Canada 11 674 3.0× 98 0.4× 406 2.6× 35 0.5× 80 1.1× 17 1.0k

Countries citing papers authored by Ben A. Duffy

Since Specialization
Citations

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

Fields of papers citing papers by Ben A. Duffy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben A. Duffy. 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 Ben A. Duffy. The network helps show where Ben A. Duffy may publish in the future.

Co-authorship network of co-authors of Ben A. Duffy

This figure shows the co-authorship network connecting the top 25 collaborators of Ben A. Duffy. A scholar is included among the top collaborators of Ben A. Duffy 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 Ben A. Duffy. Ben A. Duffy 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.
Duffy, Ben A., et al.. (2023). One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Transactions on Medical Imaging. 42(9). 2577–2591. 49 indexed citations
2.
Ning, Kaida, Ben A. Duffy, Meredith Franklin, et al.. (2021). Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. Neurobiology of Aging. 105. 199–204. 19 indexed citations
3.
Choy, ManKin, Greg O. Cron, Ben A. Duffy, et al.. (2021). Repeated hippocampal seizures lead to brain-wide reorganization of circuits and seizure propagation pathways. Neuron. 110(2). 221–236.e4. 25 indexed citations
4.
Park, Gilsoon, et al.. (2021). White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds. NeuroImage. 237. 118140–118140. 31 indexed citations
5.
Cheng, Yue, Wen Shen, Junhai Xu, et al.. (2021). Neuromarkers from Whole-Brain Functional Connectivity Reveal the Cognitive Recovery Scheme for Overt Hepatic Encephalopathy after Liver Transplantation. eNeuro. 8(4). ENEURO.0114–21.2021. 4 indexed citations
6.
Liu, Mengting, et al.. (2021). Learning to Synthesize Cortical Morphological Changes using Graph Conditional Variational Autoencoder. PubMed. 2021. 1495–1499. 2 indexed citations
7.
Duffy, Ben A., Lu Zhao, Farshid Sepehrband, et al.. (2021). Retrospective motion artifact correction of structural MRI images using deep learning improves the quality of cortical surface reconstructions. NeuroImage. 230. 117756–117756. 53 indexed citations
8.
Liu, Mengting, Ben A. Duffy, Zhe Sun, et al.. (2020). Deep Learning of Cortical Surface Features Using Graph-Convolution Predicts Neonatal Brain Age and Neurodevelopmental Outcome. 1335–1338. 9 indexed citations
9.
Kim, Hosung, Andrei Irimia, Ben A. Duffy, et al.. (2019). The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. Frontiers in Neuroinformatics. 13. 60–60. 26 indexed citations
10.
Duffy, Ben A., Wenlu Zhang, Lu Zhao, et al.. (2018). Retrospective correction of motion artifact affected structural MRI images using deep learning of simulated motion. 28 indexed citations
11.
Chuapoco, Miguel R., ManKin Choy, Florian Schmid, et al.. (2018). Carbon monofilament electrodes for unit recording and functional MRI in same subjects. NeuroImage. 186. 806–816. 13 indexed citations
12.
Kim, Hosung, Woo Seok Kang, Hong Ju Park, et al.. (2018). Cochlear Implantation in Postlingually Deaf Adults is Time-sensitive Towards Positive Outcome: Prediction using Advanced Machine Learning Techniques. Scientific Reports. 8(1). 18004–18004. 57 indexed citations
13.
Liu, Jia, Ben A. Duffy, David Bernal‐Casas, Zhongnan Fang, & Jin Hyung Lee. (2016). Comparison of fMRI analysis methods for heterogeneous BOLD responses in block design studies. NeuroImage. 147. 390–408. 16 indexed citations
14.
Duffy, Ben A., et al.. (2015). MRI compatible optrodes for simultaneous LFP and optogenetic fMRI investigation of seizure-like afterdischarges. NeuroImage. 123. 173–184. 35 indexed citations
15.
Suzuki, Hideaki, Akira Sumiyoshi, Yasuharu Matsumoto, et al.. (2014). Structural abnormality of the hippocampus associated with depressive symptoms in heart failure rats. NeuroImage. 105. 84–92. 26 indexed citations
16.
Duffy, Ben A., Andrew J. Weitz, & Jin Hyung Lee. (2014). In vivo imaging of transplanted stem cells in the central nervous system. Current Opinion in Genetics & Development. 28. 83–88. 5 indexed citations
17.
Duffy, Ben A., Kwok Pan Chun, Da Ma, Mark F. Lythgoe, & Rod C. Scott. (2013). Dexamethasone exacerbates cerebral edema and brain injury following lithium-pilocarpine induced status epilepticus. Neurobiology of Disease. 63. 229–236. 44 indexed citations
18.
Duffy, Ben A., et al.. (2013). Enrichment and Training Improve Cognition in Rats with Cortical Malformations. PLoS ONE. 8(12). e84492–e84492. 24 indexed citations
19.
Duffy, Ben A., ManKin Choy, Johannes Riegler, et al.. (2012). Imaging seizure-induced inflammation using an antibody targeted iron oxide contrast agent. NeuroImage. 60(2). 1149–1155. 30 indexed citations
20.

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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