Hatice Savas
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiopharmaceutical Chemistry and Applications
- Medical Imaging Techniques and Applications
Papers in
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- Prostate Cancer Treatment and Research 6
- Prostate Cancer Diagnosis and Treatment 6
- Lung Cancer Treatments and Mutations 5
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- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Rishi Agrawal (5 shared papers)Pamela B. Allen (8 shared papers)Anca M. Avram (4 shared papers)Eric Hart (1 shared paper)Ka Kit Wong (4 shared papers)Anjana V. Yeldandi (1 shared paper)Barbara Pro (8 shared papers)Jane N. Winter (10 shared papers)
- Journals
- Blood (7 papers)Abdominal Radiology (2 papers)Journal of Clinical Oncology (2 papers)Radiographics (2 papers)The Prostate (1 paper)
- Partner nations
- United StatesTürkiyeAustralia
In The Last Decade
Hatice Savas
33 papers receiving 557 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 48
- Radiology, Nuclear Medicine and Imaging 219
- Pathology and Forensic Medicine 167
- Oncology 153
- Neurology 70
Countries citing papers authored by Hatice Savas
This map shows the geographic impact of Hatice Savas'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 Hatice Savas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hatice Savas more than expected).
Fields of papers citing papers by Hatice Savas
This network shows the impact of papers produced by Hatice Savas. 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 Hatice Savas. The network helps show where Hatice Savas may publish in the future.
Co-authors
The 25 scholars most cited alongside Hatice Savas, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2020 | 84 | |
| 3 | 2020 | 65 | |
| 4 | 2014 | 45 | |
| 5 | 2010 | 37 | |
| 6 | 2013 | 33 | |
| 7 | 2023 | 29 | |
| 8 | 2015 | 22 | |
| 9 | 2022 | 19 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2013 | 6 | |
| 20 | 2019 | 5 |
About Hatice Savas
Hatice Savas is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Oncology and Endocrinology, Diabetes and Metabolism, having authored 42 papers that have together received 564 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Lung Cancer Treatments and Mutations (5 papers), Advanced X-ray and CT Imaging (4 papers), Cancer Immunotherapy and Biomarkers (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (48 citations), Radiology, Nuclear Medicine and Imaging (219 citations), Pathology and Forensic Medicine (167 citations), Oncology (153 citations) and Neurology (70 citations). Hatice Savas has collaborated with scholars based in United States, Türkiye and Australia. Frequent co-authors include Rishi Agrawal, Pamela B. Allen, Anca M. Avram, Eric Hart, Ka Kit Wong, Anjana V. Yeldandi, Barbara Pro, Jane N. Winter, Leo I. Gordon and Gary Dillehay. Their work appears in journals such as Blood, Abdominal Radiology, Journal of Clinical Oncology, Radiographics and The Prostate.
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.