Jennifer Eschbacher
- Genetics top 0.5%
- Glioma Diagnosis and Treatment 42
- Neurology top 2%
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- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 10
- Medical Imaging Techniques and Applications 8
- Biophysics top 2%
- Neurology top 5%
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- Meningioma and schwannoma management 14
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- Photoacoustic and Ultrasonic Imaging 11
- Nanoplatforms for cancer theranostics 10
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- Pituitary Gland Disorders and Treatments 5
- Co-authors
- Peter NakajiStephen W. CoonsKris A. SmithRobert F. SpetzlerMark C. PreulLeland HuLeslie C. BaxterJohn P. Karis
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)Neurology (1 paper)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
Jennifer Eschbacher
74 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Genetics 1.3k
- Neurology 684
- Radiology, Nuclear Medicine and Imaging 950
- Biophysics 133
- Neurology 154
Countries citing papers authored by Jennifer Eschbacher
This map shows the geographic impact of Jennifer Eschbacher'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 Jennifer Eschbacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Eschbacher more than expected).
Fields of papers citing papers by Jennifer Eschbacher
This network shows the impact of papers produced by Jennifer Eschbacher. 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 Jennifer Eschbacher. The network helps show where Jennifer Eschbacher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jennifer Eschbacher, 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 | 2024 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 15 | |
| 9 | 2019 | 0 | |
| 10 | 2019 | 31 | |
| 11 | 2018 | 39 | |
| 12 | 2018 | 8 | |
| 13 | 2017 | 11 | |
| 14 | 2015 | 34 | |
| 15 | 2011 | 91 | |
| 16 | 2009 | 112 | |
| 17 | 2008 | 303 | |
| 18 | 2007 | 6 | |
| 19 | 2007 | 21 | |
| 20 | 2006 | 62 |
About Jennifer Eschbacher
Jennifer Eschbacher is a scholar working on Genetics, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 2.8k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (42 papers), Meningioma and schwannoma management (14 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Photoacoustic and Ultrasonic Imaging (11 papers), MRI in cancer diagnosis (10 papers), Nanoplatforms for cancer theranostics (10 papers), Medical Imaging Techniques and Applications (8 papers) and Pituitary Gland Disorders and Treatments (5 papers). The work is most often cited by research in Genetics (1.3k citations), Neurology (684 citations) and Radiology, Nuclear Medicine and Imaging (950 citations). Jennifer Eschbacher has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include Peter Nakaji, Stephen W. Coons, Kris A. Smith, Robert F. Spetzler, Mark C. Preul, Leland Hu, Leslie C. Baxter, John P. Karis, Burt G. Feuerstein and Joseph E. Heiserman. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.