Gilbert Youssef
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
Papers in
- Genetics 23
- Glioma Diagnosis and Treatment 23
- Virus-based gene therapy research 2
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- Radiomics and Machine Learning in Medical Imaging 11
- Medical Imaging Techniques and Applications 4
- Co-authors
- Julie J. Miller (2 shared papers)Jörg Dietrich (4 shared papers)Patrick Y. Wen (17 shared papers)Martin J. van den Bent (3 shared papers)Shanpeng Li (1 shared paper)Benjamin M. Ellingson (3 shared papers)Mark R. Gilbert (2 shared papers)Susan M. Chang (4 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Neuro-Oncology (6 papers)Current Neurology and Neuroscience Reports (3 papers)Neuro-Oncology Advances (2 papers)Current Opinion in Neurology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Gilbert Youssef
20 papers receiving 199 citations
Peers
Comparison fields: 5 of 44
- Genetics 105
- Cancer Research 43
- Immunology 40
- Modeling and Simulation 8
- Oncology 47
Countries citing papers authored by Gilbert Youssef
This map shows the geographic impact of Gilbert Youssef'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 Gilbert Youssef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilbert Youssef more than expected).
Fields of papers citing papers by Gilbert Youssef
This network shows the impact of papers produced by Gilbert Youssef. 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 Gilbert Youssef. The network helps show where Gilbert Youssef may publish in the future.
Co-authors
The 25 scholars most cited alongside Gilbert Youssef, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 79 | |
| 2 | 2019 | 27 | |
| 3 | 2023 | 25 | |
| 4 | 2020 | 20 | |
| 5 | 2022 | 7 | |
| 6 | 2023 | 6 | |
| 7 | 2017 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 1 |
About Gilbert Youssef
Gilbert Youssef is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 201 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (23 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (4 papers), Cancer Genomics and Diagnostics (4 papers), Brain Metastases and Treatment (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (105 citations), Cancer Research (43 citations), Immunology (40 citations), Modeling and Simulation (8 citations) and Oncology (47 citations). Gilbert Youssef has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Julie J. Miller, Jörg Dietrich, Patrick Y. Wen, Martin J. van den Bent, Shanpeng Li, Benjamin M. Ellingson, Mark R. Gilbert, Susan M. Chang, Michael A. Vogelbaum and Hong Jiang. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Current Neurology and Neuroscience Reports, Neuro-Oncology Advances and Current Opinion in 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.