Stephanie L. Barnes
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- Phytoestrogen effects and research 6
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth 5
- Biochemistry top 5%
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- MRI in cancer diagnosis 13
- Radiomics and Machine Learning in Medical Imaging 10
- Advanced MRI Techniques and Applications 7
- Advanced Neuroimaging Techniques and Applications 5
- Medical Imaging Techniques and Applications 3
- Nutrition and Dietetics top 5%
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- Peripheral Neuropathies and Disorders 3
- Co-authors
- Thomas E. YankeelovHong WeiYan WangR. BowenQiuyin CaiCoral A. LamartiniereLori CowardMichael I. Miga
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Neurology (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Stephanie L. Barnes
40 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 133
- Pathology and Forensic Medicine 930
- Modeling and Simulation 215
- Biochemistry 117
- Radiology, Nuclear Medicine and Imaging 424
- Nutrition and Dietetics 273
Countries citing papers authored by Stephanie L. Barnes
This map shows the geographic impact of Stephanie L. Barnes'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 Stephanie L. Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie L. Barnes more than expected).
Fields of papers citing papers by Stephanie L. Barnes
This network shows the impact of papers produced by Stephanie L. Barnes. 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 Stephanie L. Barnes. The network helps show where Stephanie L. Barnes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephanie L. Barnes, 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 | 1 | |
| 2 | 2022 | 0 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 16 | |
| 7 | 2018 | 1 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 43 | |
| 10 | 2017 | 29 | |
| 11 | 2015 | 41 | |
| 12 | 2015 | 34 | |
| 13 | 2014 | 19 | |
| 14 | 2014 | 11 | |
| 15 | 2013 | 27 | |
| 16 | 2007 | 49 | |
| 17 | 2001 | 85 | |
| 18 | 1998 | 119 | |
| 19 | 1998 | 108 | |
| 20 | 1995 | 184 |
About Stephanie L. Barnes
Stephanie L. Barnes is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced MRI Techniques and Applications (7 papers), Phytoestrogen effects and research (6 papers), Mathematical Biology Tumor Growth (5 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Medical Imaging Techniques and Applications (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (930 citations), Modeling and Simulation (215 citations) and Biochemistry (117 citations). Stephanie L. Barnes has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Thomas E. Yankeelov, Hong Wei, Yan Wang, R. Bowen, Qiuyin Cai, Coral A. Lamartiniere, Lori Coward, Michael I. Miga, John H. Moore and Michael B. Holland. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.