Tali Mazor
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in ⓘ
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- Artificial Intelligence in Healthcare and Education 2
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- Cancer Genomics and Diagnostics 11
- Cancer-related molecular mechanisms research 3
- Co-authors
- J Costello (12 shared papers)Jun S. Song (1 shared paper)Aleksandr Pankov (1 shared paper)Ernest Fraenkel (3 shared papers)Rolf Warta (1 shared paper)Kira Downey (1 shared paper)Nduka Amankulor (1 shared paper)Hideho Okada (1 shared paper)
- Journals
- Cancer Research (4 papers)Neuro-Oncology (3 papers)JCO Precision Oncology (2 papers)Cancer Cell (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Tali Mazor
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Genetics 312
- Cancer Research 293
- Hematology 119
- Immunology 202
- Molecular Biology 563
Countries citing papers authored by Tali Mazor
This map shows the geographic impact of Tali Mazor'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 Tali Mazor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tali Mazor more than expected).
Fields of papers citing papers by Tali Mazor
This network shows the impact of papers produced by Tali Mazor. 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 Tali Mazor. The network helps show where Tali Mazor may publish in the future.
Co-authors
The 25 scholars most cited alongside Tali Mazor, 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 | 2017 | 309 | |
| 2 | 2012 | 160 | |
| 3 | 2016 | 146 | |
| 4 | 2010 | 82 | |
| 5 | 2017 | 60 | |
| 6 | 2016 | 50 | |
| 7 | 2022 | 49 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 24 | |
| 11 | 2018 | 23 | |
| 12 | 2007 | 23 | |
| 13 | 2014 | 19 | |
| 14 | 1979 | 18 | |
| 15 | 2020 | 16 | |
| 16 | 2025 | 6 | |
| 17 | 2022 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 2 |
About Tali Mazor
Tali Mazor is a scholar working on Health Informatics, Cancer Research, Genetics, Radiology, Nuclear Medicine and Imaging and Radiological and Ultrasound Technology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Glioma Diagnosis and Treatment (8 papers), Epigenetics and DNA Methylation (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer-related molecular mechanisms research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Acute Myeloid Leukemia Research (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Genetics (312 citations), Cancer Research (293 citations), Hematology (119 citations), Immunology (202 citations) and Molecular Biology (563 citations). Tali Mazor has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include J Costello, Jun S. Song, Aleksandr Pankov, Ernest Fraenkel, Rolf Warta, Kira Downey, Nduka Amankulor, Hideho Okada, Casey Beppler and Naznin Jahan. Their work appears in journals such as Cancer Research, Neuro-Oncology, JCO Precision Oncology, Cancer Cell and Clinical 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.