Jerrold L. Boxerman

8.1k total citations · 3 hit papers
68 papers, 4.9k citations indexed

About

Jerrold L. Boxerman is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Jerrold L. Boxerman has authored 68 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Genetics and 10 papers in Neurology. Recurrent topics in Jerrold L. Boxerman's work include Glioma Diagnosis and Treatment (27 papers), Advanced MRI Techniques and Applications (26 papers) and MRI in cancer diagnosis (25 papers). Jerrold L. Boxerman is often cited by papers focused on Glioma Diagnosis and Treatment (27 papers), Advanced MRI Techniques and Applications (26 papers) and MRI in cancer diagnosis (25 papers). Jerrold L. Boxerman collaborates with scholars based in United States, Canada and China. Jerrold L. Boxerman's co-authors include Robert M. Weisskoff, Bruce R. Rosen, Leena M. Hamberg, Kathleen M. Schmainda, Chun S. Zuo, Benjamin M. Ellingson, Whitney B. Pope, John Baker, Timothy L. Davis and Kenneth K. Kwong and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jerrold L. Boxerman

65 papers receiving 4.8k 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.

Mr contrast due to intravascular magnetic susceptibility perturbations

1995 788 citations Jerrold L. Boxerman, Bruce R. Rosen et al. Magnetic Resonance in Medicine profile →
Microscopic susceptibility variation and transverse relaxation: Theory and experiment

1994 556 citations Robert M. Weisskoff, Jerrold L. Boxerman et al. Magnetic Resonance in Medicine profile →
Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not.

2006 539 citations Jerrold L. Boxerman, Kathleen M. Schmainda et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jerrold L. Boxerman United States	28	4.0k	1.3k	499	486	381	68	4.9k
Emmanuel Barbier France	36	2.3k 0.6×	569 0.4×	344 0.7×	919 1.9×	376 1.0×	144	4.4k
Andrei I. Holodny United States	41	2.9k 0.7×	1.2k 0.9×	1.2k 2.4×	947 1.9×	432 1.1×	194	5.2k
Walter J. Lorenz Germany	33	2.7k 0.7×	672 0.5×	195 0.4×	937 1.9×	565 1.5×	113	4.4k
Eku Shimosegawa Japan	39	2.8k 0.7×	548 0.4×	236 0.5×	1.1k 2.2×	830 2.2×	192	5.0k
Akio Hiwatashi Japan	34	1.9k 0.5×	754 0.6×	329 0.7×	434 0.9×	292 0.8×	206	4.3k
Kathleen M. Schmainda United States	36	3.3k 0.8×	1.9k 1.4×	168 0.3×	308 0.6×	212 0.6×	93	4.2k
Andrea Kassner Canada	31	1.8k 0.5×	301 0.2×	229 0.5×	610 1.3×	532 1.4×	82	3.4k
Toshihide Ogawa Japan	40	2.4k 0.6×	761 0.6×	240 0.5×	854 1.8×	696 1.8×	210	5.2k
James R. Ewing United States	34	2.2k 0.6×	550 0.4×	168 0.3×	656 1.3×	811 2.1×	149	4.3k
Jaladhar Neelavalli United States	20	2.4k 0.6×	260 0.2×	284 0.6×	349 0.7×	713 1.9×	44	3.9k

Countries citing papers authored by Jerrold L. Boxerman

Since Specialization

Citations

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

Fields of papers citing papers by Jerrold L. Boxerman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jerrold L. Boxerman. 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 Jerrold L. Boxerman. The network helps show where Jerrold L. Boxerman may publish in the future.

Co-authorship network of co-authors of Jerrold L. Boxerman

This figure shows the co-authorship network connecting the top 25 collaborators of Jerrold L. Boxerman. A scholar is included among the top collaborators of Jerrold L. Boxerman 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 Jerrold L. Boxerman. Jerrold L. Boxerman 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

Leary, Owen P., Shaolei Lu, Grayson L. Baird, et al.. (2025). Large language model-based multi-source integration pipeline for automated diagnostic classification and zero-shot prognoses for brain tumor. SHILAP Revista de lepidopterología. 3(2). 100150–100150.

Leary, Owen P., Mattia D. Pizzagalli, Steven A. Toms, et al.. (2024). Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma. Cancers. 16(21). 3669–3669.

Leary, Owen P., Yuwei Dai, Kevin Ma, et al.. (2024). MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm. American Journal of Neuroradiology. 45(10). 1536–1544. 4 indexed citations

Stokes, Ashley M., John P. Karis, Laura C. Bell, et al.. (2024). Identification of a Single-Dose, Low-Flip-Angle–Based CBV Threshold for Fractional Tumor Burden Mapping in Recurrent Glioblastoma. American Journal of Neuroradiology. 45(10). 1545–1551.

Boxerman, Jerrold L., et al.. (2021). Septopreoptic Holoprosencephaly in an Adolescent Presenting with Hypodipsia and Hypernatremia. The Journal of Pediatrics. 240. 307–308. 1 indexed citations

Peng, Jian, Hao Zhou, Oliver Y. Tang, et al.. (2020). Evaluation of RAPNO criteria in medulloblastoma and other leptomeningeal seeding tumors using MRI and clinical data. Neuro-Oncology. 22(10). 1536–1544. 5 indexed citations

Wang, Amy, Mahesh Jayaraman, Jerrold L. Boxerman, et al.. (2020). Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network. Radiology. 297(3). 640–649. 53 indexed citations

Zhou, Hao, Oliver Y. Tang, Ken Chang, et al.. (2020). Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging. American Journal of Neuroradiology. 41(7). 1279–1285. 47 indexed citations

Kaufmann, Timothy J., Marion Smits, Jerrold L. Boxerman, et al.. (2020). Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro-Oncology. 22(6). 757–772. 150 indexed citations

10.

Schmainda, Kathleen M., Melissa Prah, Leland Hu, et al.. (2019). Moving Toward a Consensus DSC-MRI Protocol: Validation of a Low–Flip Angle Single-Dose Option as a Reference Standard for Brain Tumors. American Journal of Neuroradiology. 40(4). 626–633. 27 indexed citations

11.

Bell, Laura C., et al.. (2018). Optimization of Acquisition and Analysis Methods for Clinical Dynamic Susceptibility Contrast MRI Using a Population-Based Digital Reference Object. American Journal of Neuroradiology. 39(11). 1981–1988. 20 indexed citations

12.

Johnson, Jennie, et al.. (2018). First confirmed case of Powassan neuroinvasive disease in Rhode Island. IDCases. 12. 84–87. 5 indexed citations

13.

Ellingson, Benjamin M., Caroline Chung, Whitney B. Pope, Jerrold L. Boxerman, & Timothy J. Kaufmann. (2017). Pseudoprogression, radionecrosis, inflammation or true tumor progression? challenges associated with glioblastoma response assessment in an evolving therapeutic landscape. Journal of Neuro-Oncology. 134(3). 495–504. 155 indexed citations

14.

Leu, Kevin, Jerrold L. Boxerman, Albert Lai, et al.. (2016). Bidirectional Contrast agent leakage correction of dynamic susceptibility contrast (DSC)‐MRI improves cerebral blood volume estimation and survival prediction in recurrent glioblastoma treated with bevacizumab. Journal of Magnetic Resonance Imaging. 44(5). 1229–1237. 25 indexed citations

15.

Klinge, Petra M., et al.. (2016). Management of Craniosynostosis at an Advanced Age. Journal of Craniofacial Surgery. 27(5). e435–e441. 17 indexed citations

16.

Shiroishi, Mark S., Jerrold L. Boxerman, & Whitney B. Pope. (2015). Physiologic MRI for assessment of response to therapy and prognosis in glioblastoma. Neuro-Oncology. 18(4). 467–478. 64 indexed citations

17.

Xu, Junzhong, Jerrold L. Boxerman, Gary W. Delaney, et al.. (2014). An Efficient Computational Approach to Characterize DSC-MRI Signals Arising from Three-Dimensional Heterogeneous Tissue Structures. PLoS ONE. 9(1). e84764–e84764. 22 indexed citations

18.

Goldman, Marc, Jerrold L. Boxerman, Jeffrey M. Rogg, & Georg Norén. (2006). Utility of apparent diffusion coefficient in predicting the outcome of Gamma Knife–treated brain metastases prior to changes in tumor volume: a preliminary study. Journal of neurosurgery. 105(Supplement). 175–182. 18 indexed citations

19.

Mandeville, Joseph B., et al.. (1998). NMR imaging of changes in vascular morphology due to tumor angiogenesis. Magnetic Resonance in Medicine. 40(6). 793–799. 287 indexed citations

20.

Boxerman, Jerrold L., Peter A. Bandettini, Kenneth K. Kwong, et al.. (1995). The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo. Magnetic Resonance in Medicine. 34(1). 4–10. 453 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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