Yazan Masannat
- Cancer Research top 10%
- Breast Cancer Treatment Studies 23
- Cancer, Lipids, and Metabolism 5
- Pathology and Forensic Medicine top 10%
- Breast Lesions and Carcinomas 14
- Dermatology top 10%
- Cancer and Skin Lesions 4
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- Breast Implant and Reconstruction 14
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- MRI in cancer diagnosis 6
- Radiomics and Machine Learning in Medical Imaging 4
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Kieran HorganAbdullah ShatnaweiEhab HusainValerie SpeirsSteven D. HeysJiabao HeHrishikesh ShenoyA M Hanby
- Journals
- Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (3 papers)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Yazan Masannat
53 papers receiving 472 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 208
- Pathology and Forensic Medicine 119
- Dermatology 52
- Surgery 210
- Pulmonary and Respiratory Medicine 137
Countries citing papers authored by Yazan Masannat
This map shows the geographic impact of Yazan Masannat'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 Yazan Masannat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yazan Masannat more than expected).
Fields of papers citing papers by Yazan Masannat
This network shows the impact of papers produced by Yazan Masannat. 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 Yazan Masannat. The network helps show where Yazan Masannat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yazan Masannat, 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 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 0 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 19 | |
| 17 | 2018 | 21 | |
| 18 | 2013 | 19 | |
| 19 | 2009 | 3 | |
| 20 | 2007 | 1 |
About Yazan Masannat
Yazan Masannat is a scholar working on Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 488 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (23 papers), Breast Implant and Reconstruction (14 papers), Breast Lesions and Carcinomas (14 papers), MRI in cancer diagnosis (6 papers), Cancer, Lipids, and Metabolism (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Cancer and Skin Lesions (4 papers). The work is most often cited by research in Cancer Research (208 citations), Pathology and Forensic Medicine (119 citations) and Dermatology (52 citations). Yazan Masannat has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Kieran Horgan, Abdullah Shatnawei, Ehab Husain, Valerie Speirs, Steven D. Heys, Jiabao He, Hrishikesh Shenoy, A M Hanby, Stavroula Kastora and Sarah E. Pinder. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.
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.