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
-
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 2
-
- Cancer Genomics and Diagnostics 8
- 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 (5 shared papers)Hideho Okada (1 shared paper)Shruti Shrivastav (1 shared paper)Payal Watchmaker (1 shared paper)Zinal Chheda (1 shared paper)
- Journals
- Cancer Research (4 papers)Neuro-Oncology (3 papers)JCO Precision Oncology (2 papers)Nature Communications (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Tali Mazor
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Genetics 296
- Cancer Research 259
- Hematology 124
- Immunology 190
- Molecular Biology 536
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 318 | |
| 2 | 2012 | 169 | |
| 3 | 2016 | 156 | |
| 4 | 2010 | 88 | |
| 5 | 2017 | 64 | |
| 6 | 2016 | 52 | |
| 7 | 2022 | 51 | |
| 8 | 2017 | 34 | |
| 9 | 2017 | 33 | |
| 10 | 2018 | 26 | |
| 11 | 2016 | 24 | |
| 12 | 2007 | 24 | |
| 13 | 1979 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2020 | 17 | |
| 16 | 2025 | 9 | |
| 17 | 2012 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Tali Mazor
Tali Mazor is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Glioma Diagnosis and Treatment (7 papers), Epigenetics and DNA Methylation (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Genomics and Chromatin Dynamics (4 papers), Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Genetics (296 citations), Cancer Research (259 citations), Hematology (124 citations), Immunology (190 citations) and Molecular Biology (536 citations). Tali Mazor has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include J Costello, Jun S. Song, Aleksandr Pankov, Ernest Fraenkel, Hideho Okada, Shruti Shrivastav, Payal Watchmaker, Zinal Chheda, Diego Carrera and Brian Ahn. Their work appears in journals such as Cancer Research, Neuro-Oncology, JCO Precision Oncology, Nature Communications and Molecular Cancer Therapeutics.
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.