Mohamed Elbanan
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Surgery
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Pascal O. ZinnRivka R. ColenKhaled M. ElsayesAhmed M. AmerMaria E. CabanillasSteven I. ShermanRamona DaduMoran Amit
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Cancer, Hypoxia, and Metabolism (4 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Mohamed Elbanan
13 papers receiving 253 citations
Peers
Comparison fields: 5 of 41
- Radiology, Nuclear Medicine and Imaging 103
- Endocrinology, Diabetes and Metabolism 87
- Surgery 63
- Pulmonary and Respiratory Medicine 48
- Oncology 47
Countries citing papers authored by Mohamed Elbanan
This map shows the geographic impact of Mohamed Elbanan'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 Mohamed Elbanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohamed Elbanan more than expected).
Fields of papers citing papers by Mohamed Elbanan
This network shows the impact of papers produced by Mohamed Elbanan. 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 Mohamed Elbanan. The network helps show where Mohamed Elbanan may publish in the future.
Co-authorship network of co-authors of Mohamed Elbanan
This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Elbanan. A scholar is included among the top collaborators of Mohamed Elbanan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohamed Elbanan. Mohamed Elbanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 15 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 88 | |
| 11 | 34 | |
| 12 | 0 | |
| 13 | 16 | |
| 14 | 16 | |
| 15 | 35 |
About Mohamed Elbanan
Mohamed Elbanan is a scholar working on Hepatology, Cancer Research and Genetics, having authored 15 papers that have together received 258 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Hepatology (42 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). Mohamed Elbanan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Pascal O. Zinn, Rivka R. Colen, Khaled M. Elsayes, Ahmed M. Amer, Maria E. Cabanillas, Steven I. Sherman, Ramona Dadu, Moran Amit, Thinh Vu and Steven G. Waguespack. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.