Matthew Brendel
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 3
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- Molecular Biology Techniques and Applications 3
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- Reproductive Biology and Fertility 2
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- Bladder and Urothelial Cancer Treatments 2
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- AI in cancer detection 2
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- Colorectal Cancer Screening and Detection 2
- Cancer Immunotherapy and Biomarkers 2
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- Prenatal Screening and Diagnostics 2
- Co-authors
- Olivier ElementoMateusz M. UrbanskiCarmen V. Melendez‐VasquezFei WangAlexandros SigarasIman HajirasoulihaPegah KhosraviPantelis Zisimopoulos
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesIsraelChina
In The Last Decade
Matthew Brendel
17 papers receiving 400 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 30
- Developmental Neuroscience 19
- Radiology, Nuclear Medicine and Imaging 89
- Reproductive Medicine 18
- Cell Biology 34
Countries citing papers authored by Matthew Brendel
This map shows the geographic impact of Matthew Brendel'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 Matthew Brendel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Brendel more than expected).
Fields of papers citing papers by Matthew Brendel
This network shows the impact of papers produced by Matthew Brendel. 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 Matthew Brendel. The network helps show where Matthew Brendel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Brendel, 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 | 6 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 65 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 47 | |
| 10 | 2021 | 9 | |
| 11 | Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. | 2021 | 4 |
| 12 | 2021 | 82 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 75 | |
| 15 | 2020 | 5 | |
| 16 | 2019 | 51 | |
| 17 | 2019 | 15 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 3 |
About Matthew Brendel
Matthew Brendel is a scholar working on Radiology, Nuclear Medicine and Imaging, Cell Biology and Oncology, having authored 19 papers that have together received 410 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Molecular Biology Techniques and Applications (3 papers), Reproductive Biology and Fertility (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), AI in cancer detection (2 papers), Colorectal Cancer Screening and Detection (2 papers), Prenatal Screening and Diagnostics (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Health Informatics (30 citations), Developmental Neuroscience (19 citations) and Radiology, Nuclear Medicine and Imaging (89 citations). Matthew Brendel has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Olivier Elemento, Mateusz M. Urbanski, Carmen V. Melendez‐Vasquez, Fei Wang, Alexandros Sigaras, Iman Hajirasouliha, Pegah Khosravi, Pantelis Zisimopoulos, J. Wesley Barnes and Chang Su. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and The Journal of Cell Biology.
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.