Gilbert Youssef
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Virus-based gene therapy research
Papers in
- Genetics 20
- Glioma Diagnosis and Treatment 20
- Virus-based gene therapy research 2
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- Radiomics and Machine Learning in Medical Imaging 10
- Medical Imaging Techniques and Applications 3
- Co-authors
- Julie J. Miller (2 shared papers)Patrick Y. Wen (19 shared papers)Jörg Dietrich (4 shared papers)Michael Weller (3 shared papers)Eudocia Q. Lee (9 shared papers)Frederick F. Lang (1 shared paper)Evanthia Galanis (2 shared papers)David A. Reardon (9 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Neuro-Oncology (6 papers)Current Neurology and Neuroscience Reports (3 papers)Neuro-Oncology Advances (2 papers)Expert Opinion on Investigational Drugs (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Gilbert Youssef
22 papers receiving 226 citations
Peers
Comparison fields: 5 of 45
- Genetics 102
- Cancer Research 31
- Oncology 47
- Immunology 36
- Modeling and Simulation 8
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2023 | 28 | |
| 3 | 2019 | 27 | |
| 4 | 2020 | 20 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2022 | 1 |
About Gilbert Youssef
Gilbert Youssef is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 30 papers that have together received 229 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Brain Metastases and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Medical Imaging Techniques and Applications (3 papers), Mathematical Biology Tumor Growth (2 papers), Virus-based gene therapy research (2 papers) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Genetics (102 citations), Cancer Research (31 citations), Oncology (47 citations), Immunology (36 citations) and Modeling and Simulation (8 citations). Gilbert Youssef has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Julie J. Miller, Patrick Y. Wen, Jörg Dietrich, Michael Weller, Eudocia Q. Lee, Frederick F. Lang, Evanthia Galanis, David A. Reardon, Xuejun Fan and Timothy F. Cloughesy. Their work appears in journals such as Journal of Clinical Oncology, Neuro-Oncology, Current Neurology and Neuroscience Reports, Neuro-Oncology Advances and Expert Opinion on Investigational Drugs.
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.