Jack J. Miller

2.3k total citations
68 papers, 1.5k citations indexed

About

Jack J. Miller is a scholar working on Radiology, Nuclear Medicine and Imaging, Spectroscopy and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jack J. Miller has authored 68 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 31 papers in Spectroscopy and 14 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jack J. Miller's work include Advanced MRI Techniques and Applications (35 papers), Advanced NMR Techniques and Applications (31 papers) and Electron Spin Resonance Studies (14 papers). Jack J. Miller is often cited by papers focused on Advanced MRI Techniques and Applications (35 papers), Advanced NMR Techniques and Applications (31 papers) and Electron Spin Resonance Studies (14 papers). Jack J. Miller collaborates with scholars based in United Kingdom, Denmark and United States. Jack J. Miller's co-authors include Damian J. Tyler, Angus Lau, Kieran Clarke, Vicky Ball, Rhys Evans, Pete J. Cox, Olivia K. Faull, Brianna J. Stubbs, Matthew Stirling and Andrew Lewis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Jack J. Miller

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack J. Miller United Kingdom 19 477 455 395 284 261 68 1.5k
Lisa C. Heather United Kingdom 32 645 1.4× 638 1.4× 531 1.3× 835 2.9× 1.2k 4.5× 71 2.9k
Thomas R. Eykyn United Kingdom 22 575 1.2× 435 1.0× 120 0.3× 224 0.8× 682 2.6× 78 1.8k
Marek Chmelík Austria 28 1.2k 2.6× 387 0.9× 577 1.5× 145 0.5× 519 2.0× 62 2.3k
Marie Schroeder United Kingdom 21 856 1.8× 1.0k 2.3× 224 0.6× 224 0.8× 301 1.2× 32 1.7k
James A. Balschi United States 31 926 1.9× 403 0.9× 435 1.1× 532 1.9× 1.0k 3.9× 65 2.6k
Mark A. Cole United Kingdom 23 312 0.7× 184 0.4× 559 1.4× 742 2.6× 759 2.9× 44 2.0k
Thomas Pabst Germany 23 1.0k 2.2× 178 0.4× 135 0.3× 923 3.3× 349 1.3× 72 2.1k
Ignasi Barba Spain 31 388 0.8× 141 0.3× 284 0.7× 410 1.4× 1.7k 6.5× 65 3.1k
Jakob Appel Østergaard Denmark 20 139 0.3× 161 0.4× 121 0.3× 48 0.2× 211 0.8× 51 1.2k
Wulf‐Ingo Jung Germany 16 707 1.5× 234 0.5× 160 0.4× 253 0.9× 162 0.6× 47 1.1k

Countries citing papers authored by Jack J. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jack J. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack J. Miller. 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 Jack J. Miller. The network helps show where Jack J. Miller may publish in the future.

Co-authorship network of co-authors of Jack J. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Jack J. Miller. A scholar is included among the top collaborators of Jack J. Miller 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 Jack J. Miller. Jack J. Miller 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.
York, Andrew G., et al.. (2026). Quantum spin resonance in engineered proteins for multimodal sensing. Nature. 649(8099). 1172–1179.
2.
Hansen, Esben Søvsø Szocska, Gwenaël Layec, Jack J. Miller, et al.. (2025). Accuracy and Reliability of an MR‐Compatible Dorsiflexion Ergometer for Dynamic 31P‐MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity. NMR in Biomedicine. 39(1). e70188–e70188.
3.
Hundertmark, Moritz, Oliver J. Rider, Damian J. Tyler, et al.. (2024). Ninerafaxstat Modulates Cardiac Energy Metabolism in Cardio-metabolic Syndromes: A Mechanistic, Hyperpolarized MR Trial. Journal of Cardiovascular Magnetic Resonance. 26. 100325–100325.
4.
Brookfield, Adam, Grigore A. Timco, George F. S. Whitehead, et al.. (2024). Characterizing X-Ray and Solution State Conformations for a Model Qubit System: {Cr7Ni} Ring Rotaxanes on a Mixed Metal Triangle. Inorganic Chemistry. 63(48). 22880–22891. 1 indexed citations
5.
Væggemose, Michael, Rolf F. Schulte, Esben Søvsø Szocska Hansen, et al.. (2023). A Framework for Predicting X-Nuclei Transmitter Gain Using 1H Signal. Tomography. 9(5). 1603–1616.
6.
Radford‐Smith, Daniel, Daniel C. Anthony, Fee Benz, et al.. (2023). A multivariate blood metabolite algorithm stably predicts risk and resilience to major depressive disorder in the general population. EBioMedicine. 93. 104643–104643. 9 indexed citations
7.
Mózes, Ferenc E., et al.. (2023). Reversible pH-responsive MRI contrast with paramagnetic polymer micelles. Chemical Communications. 59(12). 1605–1608. 5 indexed citations
8.
Hundt, Nikolas, Daniel Cole, Max F. Hantke, et al.. (2022). Direct observation of the molecular mechanism underlying protein polymerization. Science Advances. 8(35). eabm7935–eabm7935. 17 indexed citations
9.
Hazlehurst, Jonathan, Catriona Charlton, Jack J. Miller, et al.. (2022). Acute intermittent hypoxia drives hepatic de novo lipogenesis in humans and rodents. SHILAP Revista de lepidopterología. 14. 100177–100177. 9 indexed citations
10.
Timm, Kerstin N., Vicky Ball, Jack J. Miller, et al.. (2022). Metabolic Effects of Doxorubicin on the Rat Liver Assessed With Hyperpolarized MRI and Metabolomics. Frontiers in Physiology. 12. 782745–782745. 16 indexed citations
11.
Miller, Jack J., Ladislav Valkovič, Matthew Kerr, et al.. (2021). Rapid, ‐insensitive, dual‐band quasi‐adiabatic saturation transfer with optimal control for complete quantification of myocardial ATP flux. Magnetic Resonance in Medicine. 85(6). 2978–2991. 4 indexed citations
12.
Pellico, Juan, et al.. (2021). Promoting high T2 contrast in Dy-doped MSNs through Curie effects. Journal of Materials Chemistry B. 10(2). 302–305.
13.
Burrage, Matthew K., Ladislav Valkovič, W. D. Watson, et al.. (2021). Energetic basis for exercise-induced pulmonary congestion in heart failure with preserved ejection fraction. Oxford University Research Archive (ORA) (University of Oxford). 47 indexed citations
15.
Valkovič, Ladislav, Justin Y. C. Lau, Inès Abdesselam, et al.. (2020). Effects of contrast agents on relaxation properties of 31P metabolites. Magnetic Resonance in Medicine. 85(4). 1805–1813. 1 indexed citations
16.
Tyler, Andrew, Justin Y. C. Lau, Vicky Ball, et al.. (2020). A 3D hybrid‐shot spiral sequence for hyperpolarized imaging. Magnetic Resonance in Medicine. 85(2). 790–801. 4 indexed citations
17.
Miller, Jack J., James T. Grist, Sébastien Serres, et al.. (2018). 13C Pyruvate Transport Across the Blood-Brain Barrier in Preclinical Hyperpolarised MRI. Scientific Reports. 8(1). 15082–15082. 47 indexed citations
18.
Lau, Angus, Jack J. Miller, & Damian J. Tyler. (2016). Mapping of intracellular pH in the in vivo rodent heart using hyperpolarized [1‐13C]pyruvate. Magnetic Resonance in Medicine. 77(5). 1810–1817. 27 indexed citations
19.
Lakhal‐Littleton, Samira, Magda Wolna, Carolyn A. Carr, et al.. (2015). Cardiac ferroportin regulates cellular iron homeostasis and is important for cardiac function. Proceedings of the National Academy of Sciences. 112(10). 3164–3169. 182 indexed citations
20.
Miller, Jack J., et al.. (2012). A mathematical model of adult subventricular neurogenesis. Journal of The Royal Society Interface. 9(75). 2414–2423. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026