Russell Dibb

996 total citations
15 papers, 737 citations indexed

About

Russell Dibb is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Russell Dibb has authored 15 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Russell Dibb's work include Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (4 papers). Russell Dibb is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (9 papers) and Functional Brain Connectivity Studies (4 papers). Russell Dibb collaborates with scholars based in United States, China and Austria. Russell Dibb's co-authors include Chunlei Liu, Hongjiang Wei, Nian Wang, Nan‐Jie Gong, XU Jian-rong, Yan Zhou, Yawen Sun, Yi Qi, Marjolein Bulk and Louise van der Weerd and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Human Brain Mapping.

In The Last Decade

Russell Dibb

15 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell Dibb United States 13 517 176 91 84 65 15 737
Nan‐Jie Gong China 14 551 1.1× 163 0.9× 105 1.2× 106 1.3× 48 0.7× 30 779
Karsten Sommer Germany 8 824 1.6× 185 1.1× 55 0.6× 217 2.6× 82 1.3× 11 1.1k
Cynthia Wisnieff United States 8 949 1.8× 188 1.1× 32 0.4× 170 2.0× 94 1.4× 9 1.2k
Satoru Ide Japan 17 358 0.7× 162 0.9× 46 0.5× 214 2.5× 47 0.7× 55 776
Alexey Dimov United States 16 422 0.8× 80 0.5× 25 0.3× 136 1.6× 52 0.8× 36 691
Peter E. Thelwall United Kingdom 18 633 1.2× 75 0.4× 184 2.0× 38 0.5× 218 3.4× 50 1.3k
Chi‐Woong Mun South Korea 17 254 0.5× 108 0.6× 73 0.8× 208 2.5× 84 1.3× 55 745
Laura E. Jonkman Netherlands 19 402 0.8× 107 0.6× 107 1.2× 216 2.6× 118 1.8× 49 917
Fang Yu United States 14 449 0.9× 191 1.1× 75 0.8× 171 2.0× 113 1.7× 48 878
Josef Vymazal Czechia 13 472 0.9× 61 0.3× 42 0.5× 221 2.6× 99 1.5× 16 821

Countries citing papers authored by Russell Dibb

Since Specialization
Citations

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

Fields of papers citing papers by Russell Dibb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Russell Dibb

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

All Works

15 of 15 papers shown
1.
Gong, Nan‐Jie, Russell Dibb, Mikhail V. Pletnikov, Eric J. Benner, & Chunlei Liu. (2020). Imaging microstructure with diffusion and susceptibility MR: neuronal density correlation in Disrupted‐in‐Schizophrenia‐1 mutant mice. NMR in Biomedicine. 33(10). e4365–e4365. 11 indexed citations
2.
Badea, Alexandra, Robert J. Anderson, Russell Dibb, et al.. (2019). Multivariate MR biomarkers better predict cognitive dysfunction in mouse models of Alzheimer's disease. Magnetic Resonance Imaging. 60. 52–67. 16 indexed citations
3.
Gong, Nan‐Jie, Russell Dibb, Marjolein Bulk, Louise van der Weerd, & Chunlei Liu. (2019). Imaging beta amyloid aggregation and iron accumulation in Alzheimer's disease using quantitative susceptibility mapping MRI. NeuroImage. 191. 176–185. 116 indexed citations
4.
Wang, Nian, Jie Zhuang, Hongjiang Wei, et al.. (2019). Probing demyelination and remyelination of the cuprizone mouse model using multimodality MRI. Journal of Magnetic Resonance Imaging. 50(6). 1852–1865. 27 indexed citations
5.
Wang, Nian, Robert J. Anderson, Alexandra Badea, et al.. (2018). Whole mouse brain structural connectomics using magnetic resonance histology. Brain Structure and Function. 223(9). 4323–4335. 52 indexed citations
6.
Wei, Hongjiang, Russell Dibb, Kyle Decker, et al.. (2017). Investigating magnetic susceptibility of human knee joint at 7 Tesla. Magnetic Resonance in Medicine. 78(5). 1933–1943. 50 indexed citations
7.
8.
Wei, Hongjiang, Luke Xie, Russell Dibb, et al.. (2016). Imaging whole-brain cytoarchitecture of mouse with MRI-based quantitative susceptibility mapping. NeuroImage. 137. 107–115. 40 indexed citations
9.
Dibb, Russell, Luke Xie, Hongjiang Wei, & Chunlei Liu. (2016). Magnetic susceptibility anisotropy outside the central nervous system. NMR in Biomedicine. 30(4). 19 indexed citations
10.
Dibb, Russell & Chunlei Liu. (2016). Joint eigenvector estimation from mutually anisotropic tensors improves susceptibility tensor imaging of the brain, kidney, and heart. Magnetic Resonance in Medicine. 77(6). 2331–2346. 11 indexed citations
11.
Bilgic̦, Berkin, Luke Xie, Russell Dibb, et al.. (2015). Rapid multi-orientation quantitative susceptibility mapping. NeuroImage. 125. 1131–1141. 45 indexed citations
12.
Dibb, Russell, Yi Qi, & Chunlei Liu. (2015). Magnetic susceptibility anisotropy of myocardium imaged by cardiovascular magnetic resonance reflects the anisotropy of myocardial filament α-helix polypeptide bonds. Journal of Cardiovascular Magnetic Resonance. 17(1). 60–60. 31 indexed citations
13.
Wei, Hongjiang, Russell Dibb, Yan Zhou, et al.. (2015). Streaking artifact reduction for quantitative susceptibility mapping of sources with large dynamic range. NMR in Biomedicine. 28(10). 1294–1303. 201 indexed citations
14.
Dibb, Russell, Wěi Li, Gary P. Cofer, & Chunlei Liu. (2014). Microstructural origins of gadolinium‐enhanced susceptibility contrast and anisotropy. Magnetic Resonance in Medicine. 72(6). 1702–1711. 19 indexed citations
15.
Xie, Luke, Russell Dibb, Gary P. Cofer, et al.. (2014). Susceptibility tensor imaging of the kidney and its microstructural underpinnings. Magnetic Resonance in Medicine. 73(3). 1270–1281. 48 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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