Noa Urman

670 total citations
36 papers, 488 citations indexed

About

Noa Urman is a scholar working on Genetics, Biomedical Engineering and Radiation. According to data from OpenAlex, Noa Urman has authored 36 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 13 papers in Biomedical Engineering and 10 papers in Radiation. Recurrent topics in Noa Urman's work include Glioma Diagnosis and Treatment (14 papers), Advanced Radiotherapy Techniques (10 papers) and Wireless Body Area Networks (6 papers). Noa Urman is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Advanced Radiotherapy Techniques (10 papers) and Wireless Body Area Networks (6 papers). Noa Urman collaborates with scholars based in United States, Switzerland and Portugal. Noa Urman's co-authors include Zéev Bomzon, Eilon D. Kirson, Uri Weinberg, Yoram Palti, Moshe Giladi, Rosa S. Schneiderman, Mijal Munster, Yaara Porat, Matthew T. Ballo and Tali Voloshin and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Noa Urman

29 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Noa Urman United States 7 220 210 111 94 85 36 488
Roni Blat Switzerland 7 295 1.3× 217 1.0× 155 1.4× 89 0.9× 130 1.5× 21 580
Shay Cahal United States 7 266 1.2× 276 1.3× 166 1.5× 128 1.4× 119 1.4× 22 640
Einav Zeevi United States 8 193 0.9× 178 0.8× 142 1.3× 59 0.6× 92 1.1× 33 465
Adrian Kinzel United States 9 192 0.9× 136 0.6× 95 0.9× 43 0.5× 79 0.9× 35 401
Aafia Chaudhry United States 9 186 0.8× 141 0.7× 91 0.8× 71 0.8× 83 1.0× 49 542
Narasimha Kumar Karanam United States 8 135 0.6× 108 0.5× 158 1.4× 41 0.4× 66 0.8× 19 395
Mijal Munster United States 12 414 1.9× 338 1.6× 238 2.1× 143 1.5× 190 2.2× 51 878
Miriam Ratliff Germany 11 218 1.0× 83 0.4× 213 1.9× 69 0.7× 53 0.6× 25 532
Jonathan Weller Germany 11 261 1.2× 95 0.5× 152 1.4× 30 0.3× 127 1.5× 31 504
Montserrat Lara‐Velazquez United States 14 257 1.2× 134 0.6× 253 2.3× 32 0.3× 81 1.0× 28 657

Countries citing papers authored by Noa Urman

Since Specialization
Citations

This map shows the geographic impact of Noa Urman'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 Noa Urman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noa Urman more than expected).

Fields of papers citing papers by Noa Urman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noa Urman. 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 Noa Urman. The network helps show where Noa Urman may publish in the future.

Co-authorship network of co-authors of Noa Urman

This figure shows the co-authorship network connecting the top 25 collaborators of Noa Urman. A scholar is included among the top collaborators of Noa Urman 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 Noa Urman. Noa Urman 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.
Berger, Brian B., A. Lavaf, Paul DeRose, et al.. (2023). Patient-Specific Segmentation-Based Treatment Planning vs. NovoTAL for TTFields Therapy in Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). e87–e87. 1 indexed citations
2.
Ballo, Matthew T., Patrick R. Conlon, Gitit Lavy-Shahaf, et al.. (2023). Tumor Treating Fields (TTFields) for Newly Diagnosed Glioblastoma in the Real World: A Systematic Review and Survival Meta-Analysis. International Journal of Radiation Oncology*Biology*Physics. 117(2). e85–e85. 2 indexed citations
3.
Ballo, Matthew T., Patrick R. Conlon, Gitit Lavy-Shahaf, et al.. (2023). TUMOUR TREATING FIELDS (TTFIELDS) THERAPY IN NEWLY DIAGNOSED GLIOBLASTOMA: A META-ANALYSIS AND SYSTEMATIC REVIEW OF REAL-WORLD SURVIVAL DATA. Neuro-Oncology. 25(Supplement_3). iii16–iii16.
4.
Ballo, Matthew T., Patrick R. Conlon, Gitit Lavy-Shahaf, et al.. (2023). Real-world experience with tumor treating fields (TTFields) in newly diagnosed glioblastoma: A survival meta-analysis with systematic review.. Journal of Clinical Oncology. 41(16_suppl). 2059–2059. 1 indexed citations
5.
Glas, Martin, Matthew T. Ballo, Zéev Bomzon, et al.. (2021). The Impact of Tumor Treating Fields on Glioblastoma Progression Patterns. International Journal of Radiation Oncology*Biology*Physics. 112(5). 1269–1278. 29 indexed citations
6.
Shahaf, Gitit, Moshe Giladi, Rosa S. Schneiderman, et al.. (2020). Abstract 2411: Cancer cell lines meta-analysis according to both short-term and long-term responses to Tumor Treating Fields (TTFields). Cancer Research. 80(16_Supplement). 2411–2411. 1 indexed citations
7.
Urman, Noa, et al.. (2019). P2.06-21 Efficacy and Safety of Tumor Treating Fields Delivery to the Thorax by Computational Simulations. Journal of Thoracic Oncology. 14(10). S763–S763. 1 indexed citations
8.
9.
Ballo, Matthew T., Noa Urman, Gitit Lavy-Shahaf, et al.. (2019). Correlation of Tumor Treating Fields Dosimetry to Survival Outcomes in Newly Diagnosed Glioblastoma: A Large-Scale Numerical Simulation-Based Analysis of Data from the Phase 3 EF-14 Randomized Trial. International Journal of Radiation Oncology*Biology*Physics. 104(5). 1106–1113. 91 indexed citations
10.
Bomzon, Zéev, et al.. (2019). Efficacy and Thermal Safety of Tumor Treating Fields Delivered to the Thorax: A Simulation-Based Study. International Journal of Radiation Oncology*Biology*Physics. 105(1). E483–E484. 1 indexed citations
11.
Urman, Noa, et al.. (2019). General methodology to optimize tumor treating fields delivery utilizing numerical simulations. Annals of Oncology. 30. v794–v794. 1 indexed citations
12.
Urman, Noa, et al.. (2018). Power Density Loss and Related Measures can be used to Quantify the Dose of Tumor Treating Fields (TTFields). International Journal of Radiation Oncology*Biology*Physics. 102(3). e533–e533.
13.
Bomzon, Zéev, et al.. (2018). Abstract 3204: Transducer array configuration optimization for treatment of pancreatic cancer using Tumor Treating Fields (TTFields). Cancer Research. 78(13_Supplement). 3204–3204. 3 indexed citations
14.
Ballo, Matthew T., Zéev Bomzon, Noa Urman, Gitit Lavy-Shahaf, & Steven A. Toms. (2018). ACTR-46. HIGHER DOSES OF TTFIELDS IN THE TUMOR ARE ASSOCIATED WITH IMPROVED PATIENT OUTCOME. Neuro-Oncology. 20(suppl_6). vi21–vi22. 1 indexed citations
15.
Weinberg, U., et al.. (2017). The influence of body composition on TTFields intensity in the lungs. Annals of Oncology. 28. ii47–ii47.
16.
17.
Bomzon, Zéev, Cornelia Wenger, Moshe Giladi, et al.. (2016). Quantifying the Effect of Electric Fields in the Frequency Range of 100-500 khz on Mitotic Spindle Structures. Biophysical Journal. 110(3). 619a–619a. 1 indexed citations
18.
Munster, Mijal, Roni Blat, Paul C. Roberts, et al.. (2016). Abstract B79: Translational study of tumor treating fields in combination with paclitaxel in ovarian cancer.. Clinical Cancer Research. 22(2_Supplement). B79–B79. 1 indexed citations
19.
Munster, Mijal, Eva M. Schmelz, Moshe Giladi, et al.. (2015). Abstract 5365: Alternating electric fields (TTFields) in combination with paclitaxel are therapeutically effective against ovarian cancer cells in vitro and in vivo. Cancer Research. 75(15_Supplement). 5365–5365. 2 indexed citations
20.
Giladi, Moshe, Rosa S. Schneiderman, Tali Voloshin, et al.. (2015). Mitotic Spindle Disruption by Alternating Electric Fields Leads to Improper Chromosome Segregation and Mitotic Catastrophe in Cancer Cells. Scientific Reports. 5(1). 18046–18046. 229 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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