Tali Mazor

5.7k total citations
30 papers, 1.1k citations indexed

About

Tali Mazor is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Tali Mazor has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cancer Research, 10 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Tali Mazor's work include Cancer Genomics and Diagnostics (11 papers), Glioma Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Tali Mazor is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Glioma Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Tali Mazor collaborates with scholars based in United States, Japan and Canada. Tali Mazor's co-authors include J Costello, Jun S. Song, Aleksandr Pankov, Ernest Fraenkel, Zinal Chheda, Kira Downey, Rolf Warta, Gary Kohanbash, Shruti Shrivastav and Brian Ahn and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Tali Mazor

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tali Mazor United States 15 563 312 293 221 202 30 1.1k
Samuel K. McBrayer United States 18 778 1.4× 229 0.7× 484 1.7× 196 0.9× 116 0.6× 44 1.2k
Javier Redondo-Muñóz Spain 16 576 1.0× 234 0.8× 209 0.7× 251 1.1× 225 1.1× 27 990
Catherine Richon France 18 608 1.1× 233 0.7× 419 1.4× 391 1.8× 243 1.2× 32 1.2k
Rolf Warta Germany 21 532 0.9× 347 1.1× 324 1.1× 335 1.5× 261 1.3× 53 1.2k
Meaghan Wall Australia 23 983 1.7× 276 0.9× 166 0.6× 330 1.5× 204 1.0× 57 1.6k
Vadym Zaberezhnyy United States 16 704 1.3× 114 0.4× 331 1.1× 214 1.0× 160 0.8× 25 1.1k
Avadhut D. Joshi United States 15 709 1.3× 436 1.4× 449 1.5× 238 1.1× 162 0.8× 26 1.2k
Rebecca E. Saunders United Kingdom 17 544 1.0× 168 0.5× 129 0.4× 135 0.6× 491 2.4× 22 1.3k
Jennifer M. Atkinson United States 20 628 1.1× 75 0.2× 307 1.0× 301 1.4× 94 0.5× 47 1.2k
Morvarid Mohseni United States 15 1.4k 2.4× 113 0.4× 266 0.9× 304 1.4× 255 1.3× 24 2.2k

Countries citing papers authored by Tali Mazor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tali Mazor

This figure shows the co-authorship network connecting the top 25 collaborators of Tali Mazor. A scholar is included among the top collaborators of Tali Mazor 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 Tali Mazor. Tali Mazor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mazor, Tali, James Lindsay, Matthew Galvin, et al.. (2025). Clinical Trial Notifications Triggered by Artificial Intelligence–Detected Cancer Progression. JAMA Network Open. 8(4). e252013–e252013. 6 indexed citations
2.
Schupp, Patrick G., Samuel J. Shelton, Brett Johnson, et al.. (2024). Deconstructing Intratumoral Heterogeneity through Multiomic and Multiscale Analysis of Serial Sections. Cancers. 16(13). 2429–2429. 2 indexed citations
3.
Kehl, Kenneth L., Tali Mazor, James Lindsay, et al.. (2024). Identifying Oncology Clinical Trial Candidates Using Artificial Intelligence Predictions of Treatment Change: A Pilot Implementation Study. JCO Precision Oncology. 8(8). e2300507–e2300507. 3 indexed citations
4.
Luria, Gil, et al.. (2024). A new level of analysis for climate research: development of a community involvement climate scale. Journal of Community Practice. 32(3). 365–382. 1 indexed citations
5.
Mazor, Tali, Matthew Galvin, Joyce E. Yu, et al.. (2023). Abstract 1067: MatchMiner: An open-source AI precision medicine trial matching platform. Cancer Research. 83(7_Supplement). 1067–1067. 1 indexed citations
6.
7.
Pugh, Trevor J., Jeffrey P. Bruce, Gary J. Doherty, et al.. (2022). AACR Project GENIE: 100,000 Cases and Beyond. Cancer Discovery. 12(9). 2044–2057. 49 indexed citations
8.
Cheng, Michael L., Jessica Lee, Rachit Kumar, et al.. (2022). Response to MEK Inhibitor Therapy inMAP2K1(MEK1) K57N Non–Small-Cell Lung Cancer and Genomic Landscape ofMAP2K1Mutations in Non–Small-Cell Lung Cancer. JCO Precision Oncology. 6(6). e2200382–e2200382. 4 indexed citations
9.
Jones, Lindsey, Stephanie Hilz, Matthew Grimmer, et al.. (2020). Patient-derived cells from recurrent tumors that model the evolution of IDH-mutant glioma. Neuro-Oncology Advances. 2(1). vdaa088–vdaa088. 16 indexed citations
10.
Bush, Nancy Ann Oberheim, Yu Yao, Javier Villanueva‐Meyer, et al.. (2020). Temozolomide-induced hypermutation is associated with high-grade transformation, distant recurrence, and reduced survival after transformation in initially low-grade IDH-mutant diffuse gliomas.. Journal of Clinical Oncology. 38(15_suppl). 2506–2506. 3 indexed citations
11.
Dvorak, Christopher C., Prakash Satwani, Elliot Stieglitz, et al.. (2018). Disease burden and conditioning regimens in ASCT1221, a randomized phase II trial in children with juvenile myelomonocytic leukemia: A Children's Oncology Group study. Pediatric Blood & Cancer. 65(7). e27034–e27034. 23 indexed citations
12.
Stieglitz, Elliot, Tali Mazor, Adam B. Olshen, et al.. (2017). Genome-wide DNA methylation is predictive of outcome in juvenile myelomonocytic leukemia. Nature Communications. 8(1). 2127–2127. 60 indexed citations
13.
Ohba, Shigeo, Joydeep Mukherjee, Andrew Mancini, et al.. (2016). Mutant IDH1 Expression Drives TERT Promoter Reactivation as Part of the Cellular Transformation Process. Cancer Research. 76(22). 6680–6689. 50 indexed citations
14.
Sherborne, Amy L., Vincent Lavergne, Katharine Yu, et al.. (2016). Somatic and Germline TP53 Alterations in Second Malignant Neoplasms from Pediatric Cancer Survivors. Clinical Cancer Research. 23(7). 1852–1861. 24 indexed citations
15.
Mazor, Tali, Aleksandr Pankov, Jun S. Song, & J Costello. (2016). Intratumoral Heterogeneity of the Epigenome. Cancer Cell. 29(4). 440–451. 146 indexed citations
16.
Johnson, Brett, Tali Mazor, Michael J. Barnes, et al.. (2014). GE-15 * CLONAL EVOLUTION AND INTRATUMORAL HETEROGENEITY OF LOW-GRADE GLIOMA GENOMES. Neuro-Oncology. 16(suppl 5). v99–v99. 1 indexed citations
17.
Yu, Ming, Tali Mazor, Hui Huang, et al.. (2012). Direct Recruitment of Polycomb Repressive Complex 1 (PRC1) to Chromatin by Core Binding Transcription Factors. Europe PMC (PubMed Central). 160 indexed citations
18.
Riva, Laura, Martina Koeva, Ferah Yildirim, et al.. (2012). Polyglutamine Expanded Huntingtin Dramatically Alters the Genome-Wide Binding of HSF1. Journal of Huntington s Disease. 1(1). 33–45.
19.
Mukherjee, Shubhasish, Carolyn Robinson, Andrew Howe, et al.. (2007). N-Benzyl-3-sulfonamidopyrrolidines as novel inhibitors of cell division in E. coli. Bioorganic & Medicinal Chemistry Letters. 17(23). 6651–6655. 23 indexed citations
20.
Shemesh, M., Nir Ayalon, & Tali Mazor. (1979). Early pregnancy diagnosis in the ewe, based on milk progesterone levels. Reproduction. 56(1). 301–304. 18 indexed citations

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.

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