J. L. Boxerman
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 6
- Advanced MRI Techniques and Applications 5
- Advanced Neuroimaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 1
- Genetics 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Kathleen M. Schmainda (2 shared papers)E.S. Paulson (2 shared papers)D. Bedekar (1 shared paper)Jason T. Machan (1 shared paper)Mahesh Jayaraman (1 shared paper)R. Haas (1 shared paper)Jeffrey M. Rogg (1 shared paper)Lawrence M. Davis (1 shared paper)
- Journals
- American Journal of Neuroradiology (4 papers)Neuro-Oncology (2 papers)Journal of Magnetic Resonance Imaging (1 paper)
- Partner nations
- United States
In The Last Decade
J. L. Boxerman
7 papers receiving 330 citations
Peers
Comparison fields: 5 of 45
- Genetics 164
- Radiology, Nuclear Medicine and Imaging 233
- Internal Medicine 20
- Neurology 74
- Rheumatology 26
Countries citing papers authored by J. L. Boxerman
This map shows the geographic impact of J. 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 J. 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 J. L. Boxerman more than expected).
Fields of papers citing papers by J. L. Boxerman
This network shows the impact of papers produced by J. 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 J. L. Boxerman. The network helps show where J. L. Boxerman may publish in the future.
Co-authors
The 25 scholars most cited alongside J. L. Boxerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 87 | |
| 2 | 2012 | 68 | |
| 3 | 2013 | 54 | |
| 4 | 2013 | 43 | |
| 5 | 2016 | 31 | |
| 6 | 1997 | 28 | |
| 7 | 2013 | 23 |
About J. L. Boxerman
J. L. Boxerman is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Surgery, Neurology and Internal Medicine, having authored 7 papers that have together received 334 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Advanced MRI Techniques and Applications (5 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Glioma Diagnosis and Treatment (2 papers), Cerebral Venous Sinus Thrombosis (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Vascular anomalies and interventions (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Genetics (164 citations), Radiology, Nuclear Medicine and Imaging (233 citations), Internal Medicine (20 citations), Neurology (74 citations) and Rheumatology (26 citations). J. L. Boxerman has collaborated with scholars based in United States. Frequent co-authors include Kathleen M. Schmainda, E.S. Paulson, D. Bedekar, Jason T. Machan, Mahesh Jayaraman, R. Haas, Jeffrey M. Rogg, Lawrence M. Davis, A. Gregory Sorensen and Daniel P. Barboriak. Their work appears in journals such as American Journal of Neuroradiology, Neuro-Oncology and Journal of Magnetic Resonance Imaging.
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.