Jerrold L. Boxerman

8.8k citations
91 papers · 7.0k · 6 hit papers · h-index 35

Impact in

    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Advanced Neuroimaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • Medical Imaging Techniques and Applications
  • Genetics top 0.5%
    • Glioma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 34
    • Advanced MRI Techniques and Applications 27
    • MRI in cancer diagnosis 24
    • Advanced Neuroimaging Techniques and Applications 10
    • Radiomics and Machine Learning in Medical Imaging 10
    • Medical Imaging Techniques and Applications 5

Jerrold L. Boxerman

87 papers receiving 6.8k citations

Jerrold L. Boxerman's Hit Papers

Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach. 2021 · 287 citations
2870+10+21Years since publication250500750

Peers

Jerrold L. Boxerman
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 4.1k
  • Genetics 1.8k
  • Health Informatics 71
  • Cognitive Neuroscience 568
  • Neurology 406
Replace Javier E. Villanueva-Meyer with:
Javier E. Villanueva-Meyer United States
Edward F. Jackson United States
Ronald L. Wolf United States
Heinz-Peter Schlemmer Germany
Heinz‐Peter Schlemmer Germany
Andrei I. Holodny United States
David Bonekamp Germany
Alexander Radbruch Germany
Jeffrey L. Sunshine United States
Emmanuel Barbier France
Jerrold L. Boxerman relative to Javier E. Villanueva-Meyer United States Javier E. Villanueva-Meyer's profile →
Citations per field
00.5×2×4×5.3×
Javier E. Villanueva-Meyer · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jerrold L. Boxerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jerrold L. Boxerman Line = papers co-authored together Jerrold L. Boxerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mr contrast due to intravascular magnetic susceptibility perturbations
Hit paper breakdown →
1995866
2
Microscopic susceptibility variation and transverse relaxation: Theory and experiment
Hit paper breakdown →
1994612
3
Relative cerebral blood volume maps corrected for contrast agent extravasation significantly correlate with glioma tumor grade, whereas uncorrected maps do not.
Hit paper breakdown →
2006585
4
Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials
Hit paper breakdown →
2015544
5
The intravascular contribution to fmri signal change: monte carlo modeling and diffusion‐weighted studies in vivo
Hit paper breakdown →
1995514
6 1998305
7 1993296
8
Robust breast cancer detection in mammography and digital breast tomosynthesis using an annotation-efficient deep learning approach.
Hit paper breakdown →
2021287
9 2015195
10 2020192
11 2017186
12 1998166
13 2020156
14 2019146
15 2014114
16 2021111
17 2015105
18 201085
19 199783
20 201478

About Jerrold L. Boxerman

Jerrold L. Boxerman is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Neurology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 91 papers that have together received 7.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (34 papers), Advanced MRI Techniques and Applications (27 papers), MRI in cancer diagnosis (24 papers), Advanced Neuroimaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Acute Ischemic Stroke Management (6 papers), Medical Imaging Techniques and Applications (5 papers) and Fetal and Pediatric Neurological Disorders (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.1k citations), Genetics (1.8k citations), Health Informatics (71 citations), Cognitive Neuroscience (568 citations) and Neurology (406 citations). Jerrold L. Boxerman has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert M. Weisskoff, Bruce Robert Rosen, Leena M. Hamberg, Kathleen M. Schmainda, Chun S. Zuo, Benjamin M. Ellingson, Whitney B. Pope, Timothy J. Kaufmann, Kenneth K. Kwong and Timothy L. Davis. Their work appears in journals such as Neuro-Oncology, American Journal of Neuroradiology, Magnetic Resonance in Medicine, American Journal of Roentgenology and Radiology.

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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