Jean H. Brittain

7.8k total citations · 2 hit papers
78 papers, 6.5k citations indexed

About

Jean H. Brittain is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Jean H. Brittain has authored 78 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Epidemiology and 11 papers in Biomedical Engineering. Recurrent topics in Jean H. Brittain's work include Advanced MRI Techniques and Applications (68 papers), Liver Disease Diagnosis and Treatment (19 papers) and MRI in cancer diagnosis (17 papers). Jean H. Brittain is often cited by papers focused on Advanced MRI Techniques and Applications (68 papers), Liver Disease Diagnosis and Treatment (19 papers) and MRI in cancer diagnosis (17 papers). Jean H. Brittain collaborates with scholars based in United States, Canada and Spain. Jean H. Brittain's co-authors include Scott B. Reeder, Huanzhou Yu, Ann Shimakawa, Charles A. McKenzie, Garry E. Gold, Catherine D. G. Hines, Angel R. Pineda, Graham A. Wright, Christopher Beaulieu and Anja Brau and has published in prestigious journals such as Journal of the American College of Cardiology, Radiology and Magnetic Resonance in Medicine.

In The Last Decade

Jean H. Brittain

74 papers receiving 6.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Iterative decomposition of water and fat with echo asymmetry and least‐squares estimation (IDEAL): Application with fast spin‐echo imaging

2005 574 citations Scott B. Reeder, Angel R. Pineda et al. Magnetic Resonance in Medicine profile →
Multiecho water‐fat separation and simultaneous R estimation with multifrequency fat spectrum modeling

2008 572 citations Huanzhou Yu, Ann Shimakawa et al. Magnetic Resonance in Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jean H. Brittain United States	34	4.3k	1.9k	957	862	737	78	6.5k
Charles A. McKenzie Canada	40	3.6k 0.8×	2.0k 1.0×	778 0.8×	830 1.0×	816 1.1×	118	6.5k
Ann Shimakawa United States	40	4.8k 1.1×	1.4k 0.8×	1.5k 1.5×	572 0.7×	797 1.1×	84	6.8k
Huanzhou Yu United States	31	3.5k 0.8×	1.8k 1.0×	811 0.8×	802 0.9×	471 0.6×	43	5.3k
Peng Hu United States	43	3.3k 0.8×	1.2k 0.7×	1.6k 1.7×	237 0.3×	520 0.7×	249	6.5k
Piotr A. Wielopolski Netherlands	40	3.2k 0.7×	1.3k 0.7×	818 0.9×	168 0.2×	737 1.0×	151	6.1k
Robert J. Herfkens United States	52	5.0k 1.2×	869 0.5×	2.6k 2.7×	206 0.2×	1.7k 2.3×	173	8.8k
Oliver Wieben United States	42	3.0k 0.7×	1.2k 0.6×	2.6k 2.7×	336 0.4×	824 1.1×	207	6.5k
Olaf Dietrich Germany	45	4.7k 1.1×	391 0.2×	356 0.4×	198 0.2×	702 1.0×	174	6.9k
Jürgen Gieseke Germany	42	4.5k 1.0×	680 0.4×	715 0.7×	184 0.2×	445 0.6×	111	6.0k
Frank Wacker Germany	37	2.6k 0.6×	527 0.3×	371 0.4×	773 0.9×	1.2k 1.6×	360	5.3k

Countries citing papers authored by Jean H. Brittain

Since Specialization

Citations

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

Fields of papers citing papers by Jean H. Brittain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean H. Brittain. 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 Jean H. Brittain. The network helps show where Jean H. Brittain may publish in the future.

Co-authorship network of co-authors of Jean H. Brittain

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

All Works

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20 of 20 papers shown

Tamada, Daiki, Jitka Starekova, Julius F. Heidenreich, et al.. (2025). Optimized motion‐insensitive PDFF mapping of the liver. Magnetic Resonance in Medicine. 95(1). 249–267.

Eldred‐Evans, David, et al.. (2018). The role of multi-parametric MRI as a triage test: A propensity-matched comparison of a MRI-triage and a TRUS-biopsy pathway. European Urology Supplements. 17(2). e695–e696. 1 indexed citations

Bley, Thorsten Alexander, Christopher J. François, Mark L. Schiebler, et al.. (2015). Non-contrast-enhanced MRA of renal artery stenosis: validation against DSA in a porcine model. European Radiology. 26(2). 547–555. 21 indexed citations

Nagle, Scott K., Reed F. Busse, Anja Brau, et al.. (2012). High resolution navigated three‐dimensional T₁‐weighted hepatobiliary MRI using gadoxetic acid optimized for 1.5 tesla. Journal of Magnetic Resonance Imaging. 36(4). 890–899. 49 indexed citations

Hines, Catherine D. G., Alex Frydrychowicz, Gavin Hamilton, et al.. (2011). T₁ independent, T₂^* corrected chemical shift based fat–water separation with multi‐peak fat spectral modeling is an accurate and precise measure of hepatic steatosis. Journal of Magnetic Resonance Imaging. 33(4). 873–881. 175 indexed citations

Meisamy, Sina, Catherine D. G. Hines, Gavin Hamilton, et al.. (2011). Quantification of Hepatic Steatosis with T1-independent, T2*-corrected MR Imaging with Spectral Modeling of Fat: Blinded Comparison with MR Spectroscopy. Radiology. 258(3). 767–775. 323 indexed citations

Hines, Catherine D. G., Rashmi Agni, Ian J. Rowland, et al.. (2011). Validation of MRI biomarkers of hepatic steatosis in the presence of iron overload in the ob/ob mouse. Journal of Magnetic Resonance Imaging. 35(4). 844–851. 39 indexed citations

Çukur, Tolga, Ann Shimakawa, Huanzhou Yu, et al.. (2011). Magnetization‐prepared IDEAL bSSFP: A flow‐independent technique for noncontrast‐enhanced peripheral angiography. Journal of Magnetic Resonance Imaging. 33(4). 931–939. 15 indexed citations

Madhuranthakam, Ananth J., Huanzhou Yu, Ann Shimakawa, et al.. (2010). T₂‐weighted 3D fast spin echo imaging with water–fat separation in a single acquisition. Journal of Magnetic Resonance Imaging. 32(3). 745–751. 29 indexed citations

10.

Yu, Huanzhou, et al.. (2010). Noise analysis for 3‐point chemical shift‐based water‐fat separation with spectral modeling of fat. Journal of Magnetic Resonance Imaging. 32(2). 493–500. 16 indexed citations

11.

Hines, Catherine D. G., Huanzhou Yu, Ann Shimakawa, et al.. (2009). Quantification of Hepatic Steatosis with 3-T MR Imaging: Validation inob/obMice. Radiology. 254(1). 119–128. 69 indexed citations

12.

Yu, Huanzhou, Ann Shimakawa, Charles A. McKenzie, et al.. (2008). Multiecho water‐fat separation and simultaneous R estimation with multifrequency fat spectrum modeling. Magnetic Resonance in Medicine. 60(5). 1122–1134. 572 indexed citations breakdown →

13.

Liu, Chia‐Ying, Oliver Wieben, Jean H. Brittain, & Scott B. Reeder. (2008). Improved delayed enhanced myocardial imaging with T₂‐Prep inversion recovery magnetization preparation. Journal of Magnetic Resonance Imaging. 28(5). 1280–1286. 35 indexed citations

14.

Humbert, Ianessa A., et al.. (2008). Simultaneous estimation of tongue volume and fat fraction using IDEAL‐FSE. Journal of Magnetic Resonance Imaging. 28(2). 504–508. 27 indexed citations

15.

Gold, Garry E., Brian A. Hargreaves, Shreyas Vasanawala, et al.. (2006). Articular Cartilage of the Knee: Evaluation with Fluctuating Equilibrium MR Imaging—Initial Experience in Healthy Volunteers. Radiology. 238(2). 712–718. 40 indexed citations

16.

Hargreaves, Brian A., Neal K. Bangerter, Ann Shimakawa, et al.. (2006). Dual-acquisition phase-sensitive fat–water separation using balanced steady-state free precession. Magnetic Resonance Imaging. 24(2). 113–122. 18 indexed citations

17.

Brau, Anja & Jean H. Brittain. (2006). Generalized self‐navigated motion detection technique: Preliminary investigation in abdominal imaging. Magnetic Resonance in Medicine. 55(2). 263–270. 85 indexed citations

18.

Kornaat, Peter R., Scott B. Reeder, Jean H. Brittain, et al.. (2005). MR imaging of articular cartilage at 1.5 T and 3.0 T: Comparison of SPGR and SSFP sequences. Osteoarthritis and Cartilage. 13(4). 338–344. 112 indexed citations

19.

Yang, Phillip C., Patricia K. Nguyen, Ann Shimakawa, et al.. (2004). Spiral Magnetic Resonance Coronary Angiography?Direct Comparison of 1.5 Tesla vs. 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 6(4). 877–884. 21 indexed citations

20.

Vasanawala, Shreyas, Todd S. Sachs, Jean H. Brittain, Craig H. Meyer, & Dwight G. Nishimura. (1999). Prospective MR signal-based cardiac triggering. Magnetic Resonance in Medicine. 42(1). 82–86. 6 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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