William A. Grissom

2.5k total citations
107 papers, 1.8k citations indexed

About

William A. Grissom is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, William A. Grissom has authored 107 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Biomedical Engineering and 26 papers in Spectroscopy. Recurrent topics in William A. Grissom's work include Advanced MRI Techniques and Applications (66 papers), Ultrasound and Hyperthermia Applications (35 papers) and Advanced NMR Techniques and Applications (26 papers). William A. Grissom is often cited by papers focused on Advanced MRI Techniques and Applications (66 papers), Ultrasound and Hyperthermia Applications (35 papers) and Advanced NMR Techniques and Applications (26 papers). William A. Grissom collaborates with scholars based in United States, China and Netherlands. William A. Grissom's co-authors include Douglas C. Noll, Jeffrey A. Fessler, V. Andrew Stenger, Zhenghui Zhang, Chun‐Yu Yip, Xinqiang Yan, John C. Gore, Zhipeng Cao, Michael Lustig and Kim Butts Pauly and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

William A. Grissom

101 papers receiving 1.8k citations

Peers

William A. Grissom
Can Akgün United States
Carl Snyder United States
Bastien Guérin United States
Kay Nehrke Germany
Giulio Giovannetti Italy
William A. Edelstein United States
Sebastian Schmitter Germany
David O. Brunner Switzerland
Riccardo Lattanzi United States
Yudong Zhu United States
Can Akgün United States
William A. Grissom
Citations per year, relative to William A. Grissom William A. Grissom (= 1×) peers Can Akgün

Countries citing papers authored by William A. Grissom

Since Specialization
Citations

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

Fields of papers citing papers by William A. Grissom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William A. Grissom. 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 William A. Grissom. The network helps show where William A. Grissom may publish in the future.

Co-authorship network of co-authors of William A. Grissom

This figure shows the co-authorship network connecting the top 25 collaborators of William A. Grissom. A scholar is included among the top collaborators of William A. Grissom 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 William A. Grissom. William A. Grissom 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.
Johnson, Kevin M., et al.. (2024). PulPy: A Python Toolkit for MRI RF and Gradient PulseDesign. The Journal of Open Source Software. 9(103). 6586–6586.
2.
Shen, Sheng, Charlotte R. Sappo, Megan Poorman, et al.. (2024). Paramagnetic salt and agarose recipes for phantoms with desired T1 and T2 values for low‐field MRI. NMR in Biomedicine. 38(1). e5281–e5281.
3.
Grissom, William A., et al.. (2024). RF Pulse Predistortion for Low-Field MRI Based on Spin Physics Using a Neural Network Amplifier-to-Bloch Equation Model. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition. 1 indexed citations
4.
Phipps, M. Anthony, Huiwen Luo, Pai‐Feng Yang, et al.. (2024). Practical Targeting Errors During Optically Tracked Transcranial Focused Ultrasound Using MR-ARFI and Array- Based Steering. IEEE Transactions on Biomedical Engineering. 71(9). 2740–2748. 4 indexed citations
5.
Kusunose, Jiro, William Rodriguez, Huiwen Luo, et al.. (2024). Design and Validation of a Patient-Specific Stereotactic Frame for Transcranial Ultrasound Therapy. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(8). 1030–1041. 4 indexed citations
6.
Sappo, Charlotte R., et al.. (2024). A Minibatch Alternating Projections Algorithm for Robust and Efficient Magnitude Least-Squares RF Pulse Design in MRI. IEEE Transactions on Medical Imaging. 44(3). 1556–1567. 1 indexed citations
7.
Ning, Lipeng, Congyu Liao, Borjan Gagoski, et al.. (2024). Reduced cross‐scanner variability using vendor‐agnostic sequences for single‐shell diffusion MRI. Magnetic Resonance in Medicine. 92(1). 246–256. 7 indexed citations
8.
Luo, Huiwen, et al.. (2023). Individually tailored spatial–spectral pulsed CEST MRI for ratiometric mapping of myocardial energetic species at 3T. Magnetic Resonance in Medicine. 90(6). 2321–2333. 1 indexed citations
9.
Mishra, Arabinda, Pai‐Feng Yang, Allen T. Newton, et al.. (2023). Disrupting nociceptive information processing flow through transcranial focused ultrasound neuromodulation of thalamic nuclei. Brain stimulation. 16(5). 1430–1444. 12 indexed citations
10.
Sengupta, Saikat, et al.. (2023). High‐resolution motion‐ and phase‐corrected functional MRI at 7 T using shuttered multishot echo‐planar imaging. Magnetic Resonance in Medicine. 89(6). 2227–2241. 2 indexed citations
11.
Zhu, Yue, Charlotte R. Sappo, William A. Grissom, John C. Gore, & Xinqiang Yan. (2022). Dual-Tuned Lattice Balun for Multi-Nuclear MRI and MRS. IEEE Transactions on Medical Imaging. 41(6). 1420–1430. 15 indexed citations
12.
Lu, Ming, Saikat Sengupta, John C. Gore, William A. Grissom, & Xinqiang Yan. (2022). High-Density MRI RF Arrays Using Mixed Dipole Antennas and Microstrip Transmission Line Resonators. IEEE Transactions on Biomedical Engineering. 69(10). 3243–3252. 2 indexed citations
13.
Sappo, Charlotte R., et al.. (2022). On the design and manufacturing of miniaturized microstripline power splitters for driving multicoil transmit arrays with arbitrary ratios at 7 T. NMR in Biomedicine. 35(11). e4793–e4793. 1 indexed citations
14.
Esser, Daniel E., John Peters, Tyler Ball, et al.. (2022). Robotic Curvilinear Laser Thermal Therapy Probe for Transforamenal Hippocampotomy. 105–106. 1 indexed citations
15.
Cauley, Stephen, Jason Stockmann, Charlotte R. Sappo, et al.. (2021). External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI. Magnetic Resonance in Medicine. 87(2). 614–628. 37 indexed citations
16.
Liao, Congyu, Jason Stockmann, Qiyuan Tian, et al.. (2019). High‐fidelity, high‐isotropic‐resolution diffusion imaging through gSlider acquisition with and T1 corrections and integrated ΔB0/Rx shim array. Magnetic Resonance in Medicine. 83(1). 56–67. 27 indexed citations
17.
18.
Yan, Xinqiang, John C. Gore, & William A. Grissom. (2018). Self-decoupled radiofrequency coils for magnetic resonance imaging. Nature Communications. 9(1). 3481–3481. 66 indexed citations
19.
Cao, Zhipeng, Manus J. Donahue, Jun Ma, & William A. Grissom. (2015). Joint design of large‐tip‐angle parallel RF pulses and blipped gradient trajectories. Magnetic Resonance in Medicine. 75(3). 1198–1208. 27 indexed citations
20.
Grissom, William A., et al.. (1991). EPOXY-RESIN-BASED CHEMICAL STABILIZATION OF A FINE, POORLY GRADED SOIL SYSTEM. Transportation Research Record Journal of the Transportation Research Board. 40 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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