Joshua Kaggie

2.6k total citations
57 papers, 848 citations indexed

About

Joshua Kaggie is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Joshua Kaggie has authored 57 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Atomic and Molecular Physics, and Optics and 15 papers in Spectroscopy. Recurrent topics in Joshua Kaggie's work include Advanced MRI Techniques and Applications (30 papers), Advanced NMR Techniques and Applications (15 papers) and Atomic and Subatomic Physics Research (15 papers). Joshua Kaggie is often cited by papers focused on Advanced MRI Techniques and Applications (30 papers), Advanced NMR Techniques and Applications (15 papers) and Atomic and Subatomic Physics Research (15 papers). Joshua Kaggie collaborates with scholars based in United Kingdom, United States and Germany. Joshua Kaggie's co-authors include Martin J. Graves, Ferdia A. Gallagher, Rolf F. Schulte, Mary A. McLean, Frank Riemer, Fiona J. Gilbert, Neal K. Bangerter, Guido Buonincontri, Fulvio Zaccagna and Michela Tosetti and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Joshua Kaggie

54 papers receiving 839 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua Kaggie United Kingdom 19 514 201 167 108 92 57 848
J. B. M. Warntjes Sweden 18 858 1.7× 109 0.5× 146 0.9× 67 0.6× 72 0.8× 28 1.2k
Lucas Carvajal United States 21 909 1.8× 635 3.2× 314 1.9× 94 0.9× 124 1.3× 31 1.3k
Niels Oesingmann United States 23 1.2k 2.3× 142 0.7× 137 0.8× 77 0.7× 124 1.3× 47 1.6k
Belinda S.Y. Li United States 15 611 1.2× 106 0.5× 80 0.5× 101 0.9× 117 1.3× 17 901
Jonathan C. Sharp Canada 18 516 1.0× 220 1.1× 149 0.9× 89 0.8× 105 1.1× 48 895
S. Siddiqui United States 14 160 0.3× 111 0.6× 139 0.8× 47 0.4× 40 0.4× 29 424
Sina Straub Germany 12 564 1.1× 119 0.6× 98 0.6× 50 0.5× 90 1.0× 33 777
James D. Quirk United States 19 610 1.2× 341 1.7× 611 3.7× 50 0.5× 99 1.1× 51 1.3k
Greg O. Cron Canada 26 728 1.4× 61 0.3× 71 0.4× 229 2.1× 163 1.8× 54 1.5k
Neal K. Bangerter United States 18 573 1.1× 130 0.6× 146 0.9× 16 0.1× 187 2.0× 36 867

Countries citing papers authored by Joshua Kaggie

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Kaggie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Kaggie

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Kaggie. A scholar is included among the top collaborators of Joshua Kaggie 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 Joshua Kaggie. Joshua Kaggie 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
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Lee, Jordan, Hiran A. Prag, Jiro Abe, et al.. (2025). Local arterial administration of acidified malonate as an adjunct therapy to mechanical thrombectomy in ischemic stroke. Cardiovascular Research. 121(9). 1407–1418. 2 indexed citations
3.
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Payne, Nicholas Roy, Yuan Huang, Joshua Kaggie, et al.. (2025). Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program. Radiology. 317(1). e250391–e250391.
5.
Peterson, Katie A., Mary A. McLean, Joshua Kaggie, et al.. (2024). Deuterium Metabolic Imaging of Alzheimer Disease at 3-T Magnetic Field Strength: A Pilot Case-Control Study. Radiology. 312(1). e232407–e232407. 6 indexed citations
6.
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Birchall, Jonathan R., Joshua Kaggie, Frank Riemer, et al.. (2024). Quantitative 23Na magnetic resonance imaging in the abdomen at 3 T. Magnetic Resonance Materials in Physics Biology and Medicine. 37(4). 737–748. 1 indexed citations
8.
Whitmarsh, Tristan, Scott D. McDonald, Joshua Kaggie, et al.. (2024). Deep learning-based quantification of osteonecrosis using magnetic resonance images in Gaucher disease. Bone. 186. 117142–117142. 2 indexed citations
9.
Kaggie, Joshua, Tomasz Matys, Rolf F. Schulte, et al.. (2022). Deuterium metabolic imaging and hyperpolarized 13C-MRI of the normal human brain at clinical field strength reveals differential cerebral metabolism. NeuroImage. 257. 119284–119284. 52 indexed citations
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Mackay, James, Joshua Kaggie, Josephine H. Naish, et al.. (2021). Dynamic contrast-enhanced MRI of synovitis in knee osteoarthritis: repeatability, discrimination and sensitivity to change in a prospective experimental study. European Radiology. 31(8). 5746–5758. 18 indexed citations
12.
Buonincontri, Guido, Jan W. Kurzawski, Joshua Kaggie, et al.. (2020). Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T. NeuroImage. 226. 117573–117573. 32 indexed citations
13.
Serrão, Eva, Bruno Carmo, Lucian Beer, et al.. (2020). Magnetic resonance fingerprinting of the pancreas at 1.5 T and 3.0 T. Scientific Reports. 10(1). 17563–17563. 20 indexed citations
14.
Mackay, James, et al.. (2020). The optimisation of deep neural networks for segmenting multiple knee joint tissues from MRIs. Computerized Medical Imaging and Graphics. 86. 101793–101793. 29 indexed citations
15.
Grist, James T., Frank Riemer, Esben Søvsø Szocska Hansen, et al.. (2020). Visualization of sodium dynamics in the kidney by magnetic resonance imaging in a multi-site study. Kidney International. 98(5). 1174–1178. 21 indexed citations
16.
Kaggie, Joshua, Martin J. Graves, Ferdia A. Gallagher, et al.. (2019). Feasibility of Quantitative Magnetic Resonance Fingerprinting in Ovarian Tumors for T1 and T2 Mapping in a PET/MR Setting. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(4). 509–515. 15 indexed citations
17.
Ali, Syed O., Petros Fessas, Joshua Kaggie, et al.. (2019). Evaluation of the sensitivity of R1ρ MRI to pH and macromolecular density. Magnetic Resonance Imaging. 58. 156–161. 8 indexed citations
18.
Barrett, Tristan, Frank Riemer, Mary A. McLean, et al.. (2019). Molecular imaging of the prostate: Comparing total sodium concentration quantification in prostate cancer and normal tissue using dedicated 13C and 23Na endorectal coils. Journal of Magnetic Resonance Imaging. 51(1). 90–97. 8 indexed citations
19.
Barrett, Tristan, Frank Riemer, Mary A. McLean, et al.. (2018). Quantification of Total and Intracellular Sodium Concentration in Primary Prostate Cancer and Adjacent Normal Prostate Tissue With Magnetic Resonance Imaging. Investigative Radiology. 53(8). 450–456. 32 indexed citations
20.
Allen, Steven P., Glen Morrell, Daniel J. Park, et al.. (2010). Phase‐sensitive sodium B1 mapping. Magnetic Resonance in Medicine. 65(4). 1125–1130. 27 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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