Karin Shmueli
About
In The Last Decade
Karin Shmueli
56 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Radiology, Nuclear Medicine and Imaging 2.2k
- Cognitive Neuroscience 1.1k
- Neurology 318
- Atomic and Molecular Physics, and Optics 243
- Spectroscopy 216
Countries citing papers authored by Karin Shmueli
This map shows the geographic impact of Karin Shmueli'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 Karin Shmueli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Shmueli more than expected).
Fields of papers citing papers by Karin Shmueli
This network shows the impact of papers produced by Karin Shmueli. 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 Karin Shmueli. The network helps show where Karin Shmueli may publish in the future.
Co-authorship network of co-authors of Karin Shmueli
This figure shows the co-authorship network connecting the top 25 collaborators of Karin Shmueli. A scholar is included among the top collaborators of Karin Shmueli 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 Karin Shmueli. Karin Shmueli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Quantitative susceptibility mapping of the human carotid artery: Assessing sensitivity to elastin and collagen ex vivo | Magnetic Resonance in Medicine | Alan J. Stone, Karin Shmueli et al. | 0 |
| 2 | Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia | Brain | Rohan Bhome, George E. Thomas et al. | 0 |
| 3 | Multiband accelerated 2D EPI for multi‐echo brain QSM at 3 T | Magnetic Resonance in Medicine | Stephen Wastling, John S. Thornton et al. | 0 |
| 4 | Longitudinal Associations of Magnetic Susceptibility with Clinical Severity in Parkinson's Disease | Movement Disorders | George E. Thomas, Angeliki Zarkali et al. | 14 |
| 5 | Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the | Magnetic Resonance in Medicine | Berkin Bilgic̦, Mauro Costagli et al. | 58 |
| 6 | Epileptogenic Tubers Are Associated with Increased Kurtosis of Susceptibility Values: A Combined Quantitative Susceptibility Mapping and Stereoelectroencephalography Pilot Study | American Journal of Neuroradiology | Ajai Chari, Jan Sedlacik et al. | 1 |
| 7 | Brain volume in Tanzanian children with sickle cell anaemia: A neuroimaging study | British Journal of Haematology | Jamie M. Kawadler, Karin Shmueli et al. | 1 |
| 8 | Multi‐echo quantitative susceptibility mapping: how to combine echoes for accuracy and precision at 3 Tesla | Magnetic Resonance in Medicine | Emma Biondetti, Francesco Grussu et al. | 7 |
| 9 | The Effect of Oblique Image Slices on the Accuracy of Quantitative Susceptibility Mapping and a Robust Tilt Correction Method | UCL Discovery (University College London) | John S. Thornton, Karin Shmueli et al. | 1 |
| 10 | Regional brain iron and gene expression provide insights into neurodegeneration in Parkinson’s disease | Brain | George E. Thomas, Angeliki Zarkali et al. | 72 |
| 11 | Quantitative MRI susceptibility mapping reveals cortical signatures of changes in iron, calcium and zinc in malformations of cortical development in children with drug-resistant epilepsy | NeuroImage | Sara Lorio, Jan Sedlacik et al. | 13 |
| 12 | High Repeatability of Quantitative Susceptibility Mapping (QSM) in the Head and Neck With a View to Detecting Hypoxic Cancer Sites | UCL Discovery (University College London) | Shonit Punwani, Karin Shmueli et al. | 1 |
| 13 | Investigating the oxygenation of brain arteriovenous malformations using quantitative susceptibility mapping | NeuroImage | Emma Biondetti, Magdalena Sokolska et al. | 12 |
| 14 | Fat Correction of MRI Phase Images for Accurate Susceptibility Mapping in the Head and Neck | UCL Discovery (University College London) | Shonit Punwani, Karin Shmueli et al. | 2 |
| 15 | Application of Laplacian-based Methods to Multi-echo Phase Data for Accurate Susceptibility Mapping | UCL Discovery (University College London) | Emma Biondetti, David L. Thomas et al. | 7 |
| 16 | SAS: Symmetric Analysis of Z-Spectra, a Method to Evaluate B0 Correction Techniques for CEST Data in Clinical Systems Using Non-Exchanging Phantoms | UCL Discovery (University College London) | Karin Shmueli, Xavier Golay et al. | 1 |
| 17 | Sensitivity of MRI resonance frequency to the orientation of brain tissue microstructure (vol 107, pg 5130, 2010) | UCL Discovery (University College London) | Karin Shmueli, Masaki Fukunaga et al. | 7 |
| 18 | Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data breakdown → | Magnetic Resonance in Medicine | Karin Shmueli, Jacco A. de Zwart et al. | 437 |
| 19 | Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal | NeuroImage | Karin Shmueli, Peter van Gelderen et al. | 439 |
| 20 | High resolution MRI of the brain at 4.7 Tesla using fast spin echo imaging | British Journal of Radiology | Enrico De Vita, David L. Thomas et al. | 46 |
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.