John D. Hazle

10.6k total citations · 2 hit papers
173 papers, 7.9k citations indexed

About

John D. Hazle is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, John D. Hazle has authored 173 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Radiology, Nuclear Medicine and Imaging, 75 papers in Biomedical Engineering and 23 papers in Molecular Biology. Recurrent topics in John D. Hazle's work include Advanced MRI Techniques and Applications (53 papers), Photoacoustic and Ultrasonic Imaging (42 papers) and Ultrasound and Hyperthermia Applications (38 papers). John D. Hazle is often cited by papers focused on Advanced MRI Techniques and Applications (53 papers), Photoacoustic and Ultrasonic Imaging (42 papers) and Ultrasound and Hyperthermia Applications (38 papers). John D. Hazle collaborates with scholars based in United States, Greece and France. John D. Hazle's co-authors include R. Jason Stafford, Roger E. Price, James A. Bankson, Belinda Rivera, L. R. Hirsch, Jennifer L. West, S.R. Sershen, Naomi J. Halas, Chun Li and Min Zhou and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

John D. Hazle

169 papers receiving 7.7k citations

Hit Papers

align trajectories

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.

Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance

2003 3.1k citations L. R. Hirsch, R. Jason Stafford et al. Proceedings of the National Academy of Sciences profile →
Copper Sulfide Nanoparticles As a New Class of Photoacoustic Contrast Agent for Deep Tissue Imaging at 1064 nm

2012 475 citations John D. Hazle et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John D. Hazle United States	40	4.2k	2.2k	1.9k	1.5k	1.4k	173	7.9k
R. Jason Stafford United States	39	4.7k 1.1×	1.9k 0.9×	2.1k 1.1×	1.5k 1.0×	1.0k 0.7×	144	7.7k
Konstantin Sokolov United States	55	6.0k 1.4×	1.3k 0.6×	3.3k 1.7×	3.2k 2.2×	2.2k 1.5×	201	10.6k
Moritz F. Kircher United States	46	3.7k 0.9×	999 0.4×	1.5k 0.8×	1.3k 0.9×	2.3k 1.6×	81	7.1k
Xingde Li United States	46	6.3k 1.5×	1.4k 0.6×	3.0k 1.6×	2.4k 1.6×	1.7k 1.2×	188	10.1k
James A. Bankson United States	33	3.3k 0.8×	1.0k 0.4×	1.9k 1.0×	1.6k 1.1×	1.7k 1.2×	112	7.2k
Malini Olivo Singapore	51	6.6k 1.6×	941 0.4×	2.5k 1.3×	2.5k 1.7×	2.5k 1.8×	326	11.1k
Vladimir P. Zharov United States	49	6.8k 1.6×	704 0.3×	2.0k 1.0×	2.0k 1.3×	1.9k 1.3×	235	9.4k
Liming Nie China	50	6.7k 1.6×	917 0.4×	750 0.4×	3.1k 2.1×	1.7k 1.2×	137	8.7k
Gustav J. Strijkers Netherlands	55	2.6k 0.6×	3.1k 1.4×	1.0k 0.5×	2.3k 1.6×	2.0k 1.4×	304	10.5k
Da Zhang China	52	3.0k 0.7×	683 0.3×	515 0.3×	1.4k 0.9×	1.9k 1.3×	391	8.3k

Countries citing papers authored by John D. Hazle

Since Specialization

Citations

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

Fields of papers citing papers by John D. Hazle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Hazle. 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 John D. Hazle. The network helps show where John D. Hazle may publish in the future.

Co-authorship network of co-authors of John D. Hazle

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Hazle. A scholar is included among the top collaborators of John D. Hazle 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 John D. Hazle. John D. Hazle 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

Παπαθανασίου, Νικόλαος, David Sarrut, Panagiotis Papadimitroulas, et al.. (2023). A radiomic‐ and dosiomic‐based machine learning regression model for pretreatment planning in ¹⁷⁷Lu‐DOTATATE therapy. Medical Physics. 50(11). 7222–7235. 15 indexed citations

Papadimitroulas, Panagiotis, Konstantinos Katsanos, D. Apostolopoulos, et al.. (2021). Clinical Evaluation of a Three-Dimensional Internal Dosimetry Technique for Liver Radioembolization with ⁹⁰ Y Microspheres Using Dose Voxel Kernels. Cancer Biotherapy and Radiopharmaceuticals. 36(10). 809–819. 7 indexed citations

Moawad, Ahmed W., et al.. (2021). Machine learning-based texture analysis for differentiation of radiologically indeterminate small adrenal tumors on adrenal protocol CT scans. Abdominal Radiology. 46(10). 4853–4863. 20 indexed citations

Weinberg, Jeffrey S., Sujit S. Prabhu, Jackson Hamilton, et al.. (2020). Imaging-Based Algorithm for the Local Grading of Glioma. American Journal of Neuroradiology. 41(3). 400–407. 11 indexed citations

Weinberg, Jeffrey S., Sujit S. Prabhu, Jackson Hamilton, et al.. (2020). Estimating Local Cellular Density in Glioma Using MR Imaging Data. American Journal of Neuroradiology. 42(1). 102–108. 12 indexed citations

Kandala, Sri Kamal, et al.. (2019). A compressed sensing approach to immobilized nanoparticle localization for superparamagnetic relaxometry. Physics in Medicine and Biology. 64(19). 194001–194001. 2 indexed citations

Morshid, Ali, Khaled M. Elsayes, Ahmed Khalaf, et al.. (2019). A Machine Learning Model to Predict Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization. Radiology Artificial Intelligence. 1(5). e180021–e180021. 92 indexed citations

Fuentes, David, Adam G. Chandler, Sujit S. Prabhu, et al.. (2017). Performance Assessment for Brain MR Imaging Registration Methods. American Journal of Neuroradiology. 38(5). 973–980. 9 indexed citations

Hazle, John D., et al.. (2017). Gaussian process classification of superparamagnetic relaxometry data: Phantom study. Artificial Intelligence in Medicine. 82. 47–59. 3 indexed citations

10.

Bankson, James A., Christopher M. Walker, Marc S. Ramirez, et al.. (2015). Kinetic Modeling and Constrained Reconstruction of Hyperpolarized [1-13C]-Pyruvate Offers Improved Metabolic Imaging of Tumors. Cancer Research. 75(22). 4708–4717. 70 indexed citations

11.

Jacobsen, Megan C., Başak E. Doğan, Beatriz E. Adrada, et al.. (2015). 3-T Breast Diffusion-Weighted MRI by Echo-Planar Imaging With Spectral Spatial Excitation or With Additional Spectral Inversion Recovery. Journal of Computer Assisted Tomography. 39(3). 1–1. 1 indexed citations

12.

Hazle, John D., et al.. (2013). Direct water and fat determination in two‐point Dixon imaging with flexible echo times. Medical Physics. 40(11). 112302–112302. 10 indexed citations

13.

Fuentes, David, et al.. (2013). Estimating nanoparticle optical absorption with magnetic resonance temperature imaging and bioheat transfer simulation. International Journal of Hyperthermia. 30(1). 47–55. 7 indexed citations

14.

Fuentes, David, et al.. (2011). Kalman Filtered MR Temperature Imaging for Laser Induced Thermal Therapies. IEEE Transactions on Medical Imaging. 31(4). 984–994. 17 indexed citations

15.

Shetty, Anil, Andrew M. Elliott, Jeffrey S. Weinberg, et al.. (2010). Quantitative comparison of thermal dose models in normal canine brain. Medical Physics. 37(10). 5313–5321. 42 indexed citations

16.

Elliott, Andrew M., Anil Shetty, James Wang, John D. Hazle, & R. Jason Stafford. (2010). Use of gold nanoshells to constrain and enhance laser thermal therapy of metastatic liver tumours. International Journal of Hyperthermia. 26(5). 434–440. 32 indexed citations

17.

Elliott, Andrew M., R. Jason Stafford, Jon A. Schwartz, et al.. (2007). Laser‐induced thermal response and characterization of nanoparticles for cancer treatment using magnetic resonance thermal imaging. Medical Physics. 34(7). 3102–3108. 46 indexed citations

18.

Oden, J. Tinsley, Kenneth R. Diller, Chandrajit Bajaj, et al.. (2007). Dynamic data‐driven finite element models for laser treatment of cancer. Numerical Methods for Partial Differential Equations. 23(4). 904–922. 25 indexed citations

19.

Bankson, James A., R. Jason Stafford, & John D. Hazle. (2005). Partially parallel imaging with phase‐sensitive data: Increased temporal resolution for magnetic resonance temperature imaging. Magnetic Resonance in Medicine. 53(3). 658–665. 29 indexed citations

20.

Hirsch, L. R., R. Jason Stafford, James A. Bankson, et al.. (2003). Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance. Proceedings of the National Academy of Sciences. 100(23). 13549–13554. 3087 indexed citations breakdown →

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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