Allison Pribnow
Impact in
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- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 6
- Radiomics and Machine Learning in Medical Imaging 3
- MRI in cancer diagnosis 2
- Radiation Dose and Imaging 2
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- Bone and Joint Diseases 2
- Co-authors
- Ashok J. TheruvathHeike E. Daldrup‐LinkRoberta OrtizLuis BáezSandra Luna‐FinemanSheri L. SpuntFlorian SiedekAnne M. Muehe
- Journals
- Radiology Artificial Intelligence (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)European Radiology (2 papers)Pediatric Blood & Cancer (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Allison Pribnow
13 papers receiving 285 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 140
- Health Informatics 8
- Pediatrics, Perinatology and Child Health 60
- Radiation 21
- Pulmonary and Respiratory Medicine 52
Countries citing papers authored by Allison Pribnow
This map shows the geographic impact of Allison Pribnow'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 Allison Pribnow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison Pribnow more than expected).
Fields of papers citing papers by Allison Pribnow
This network shows the impact of papers produced by Allison Pribnow. 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 Allison Pribnow. The network helps show where Allison Pribnow may publish in the future.
Co-authors
The 25 scholars most cited alongside Allison Pribnow, 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 | 2025 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 58 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 24 | |
| 10 | 2020 | 30 | |
| 11 | 2019 | 13 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 22 | |
| 14 | 2017 | 72 |
About Allison Pribnow
Allison Pribnow is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine, Radiation, Pulmonary and Respiratory Medicine and Neurology, having authored 14 papers that have together received 286 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Sarcoma Diagnosis and Treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), MRI in cancer diagnosis (2 papers), Bone and Joint Diseases (2 papers), Radiation Dose and Imaging (2 papers), Neuroblastoma Research and Treatments (2 papers) and Advanced Radiotherapy Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (140 citations), Health Informatics (8 citations), Pediatrics, Perinatology and Child Health (60 citations), Radiation (21 citations) and Pulmonary and Respiratory Medicine (52 citations). Allison Pribnow has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Ashok J. Theruvath, Heike E. Daldrup‐Link, Roberta Ortiz, Luis Báez, Sandra Luna‐Fineman, Sheri L. Spunt, Florian Siedek, Anne M. Muehe, Sergios Gatidis and Avnesh S. Thakor. Their work appears in journals such as Radiology Artificial Intelligence, European Journal of Nuclear Medicine and Molecular Imaging, European Radiology, Pediatric Blood & Cancer and Molecular Cancer Therapeutics.
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.