Gitit Lavy-Shahaf

3.6k total citations
18 papers, 223 citations indexed

About

Gitit Lavy-Shahaf is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gitit Lavy-Shahaf has authored 18 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gitit Lavy-Shahaf's work include Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Gitit Lavy-Shahaf is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Gitit Lavy-Shahaf collaborates with scholars based in United States, Switzerland and Czechia. Gitit Lavy-Shahaf's co-authors include Matthew T. Ballo, Noa Urman, Zéev Bomzon, Steven A. Toms, Jai Grewal, Josef Vymazal, Patrick R. Conlon, Aaron Rulseh, Adrian Kinzel and Lucia Lopalco and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.

In The Last Decade

Gitit Lavy-Shahaf

14 papers receiving 217 citations

Peers

Gitit Lavy-Shahaf

GENET

PRM

Karolina Janczar Poland

Prospero Civita Italy

Deborah Boyett United States

Johan de Rooi Netherlands

Yahaya A Yabo Norway

Zhe Xiao China

Lina Song China

David Ruff United States

Ian Williamson United States

Emily N. Pawlak Canada

Karolina Janczar Poland

Gitit Lavy-Shahaf

78 ×0.7

GENET

19 ×0.3

31 ×0.7

PRM

134 ×3.5

113 ×3.2

Citations per year, relative to Gitit Lavy-Shahaf Gitit Lavy-Shahaf (= 1×) peers Karolina Janczar

Countries citing papers authored by Gitit Lavy-Shahaf

Since Specialization

Citations

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

Fields of papers citing papers by Gitit Lavy-Shahaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gitit Lavy-Shahaf. 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 Gitit Lavy-Shahaf. The network helps show where Gitit Lavy-Shahaf may publish in the future.

Co-authorship network of co-authors of Gitit Lavy-Shahaf

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

All Works

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18 of 18 papers shown

Lavy-Shahaf, Gitit, Roni Blatt, Itai Tzchori, et al.. (2025). Testing the effects of topical skin care products on Tumor Treating Fields (TTFields) adhesiveness of arrays and delivery of electric currents. Supportive Care in Cancer. 33(11). 1008–1008.

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

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.

Ballo, Matthew T., Patrick R. Conlon, Gitit Lavy-Shahaf, et al.. (2023). Association of Tumor Treating Fields (TTFields) therapy with survival in newly diagnosed glioblastoma: a systematic review and meta-analysis. Journal of Neuro-Oncology. 164(1). 1–9. 40 indexed citations

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

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

Ofek, Efrat, Jair Bar, Nadia Prisant, et al.. (2020). MiR-21, EGFR and PTEN in non-small cell lung cancer: an in situ hybridisation and immunohistochemistry study. Journal of Clinical Pathology. 73(10). 636–641. 16 indexed citations

Lavy-Shahaf, Gitit, et al.. (2020). The Long Tail Problem: Novel Parametric Methods Still Underestimate Conditional Long-Term Survival In Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 108(3). e783–e784.

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.

Ballo, Matthew T., Noa Urman, Zéev Bomzon, Gitit Lavy-Shahaf, & Steven A. Toms. (2019). Abstract CT204: Increasing Tumor Treating Fields dose at the tumor bed improves survival: Setting a framework for TTFields dosimetry based on analysis of the EF-14 Phase III trial in newly diagnosed glioblastoma. Clinical Trials. CT204–CT204. 1 indexed citations

11.

Kinzel, Adrian, Gitit Lavy-Shahaf, & Eilon D. Kirson. (2018). P01.065 Tumor treating fields (TTFields) in combination with lomustine (CCNU) in the EF-14 phase 3 clinical study - a safety analysis. Neuro-Oncology. 20(suppl_3). iii244–iii244. 1 indexed citations

12.

Kinzel, Adrian, Gitit Lavy-Shahaf, & Eilon D. Kirson. (2018). ACTR-52. TUMOR TREATING FIELDS (TTFIELDS) IN COMBINATION WITH LOMUSTINE (CCNU) IN THE EF-14 PHASE 3 CLINICAL STUDY – A SAFETY ANALYSIS. Neuro-Oncology. 20(suppl_6). vi23–vi23.

13.

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

14.

Ballo, Matthew T., Zéev Bomzon, Noa Urman, Gitit Lavy-Shahaf, & Steven A. Toms. (2018). Correlation of TTFields Dose Density and Survival Outcomes in Newly Diagnosed Glioblastoma: A Numerical Simulation-Based Analysis of Patient Data from the EF-14 Randomized Trial.. International Journal of Radiation Oncology*Biology*Physics. 102(3). S211–S211. 1 indexed citations

15.

Stupp, Roger, Martin Taphoorn, Linda Dirven, et al.. (2017). Tumor Treating Fields (TTFields) – A novel cancer treatment modality: Translating preclinical evidence and engineering into a survival benefit with delayed decline in quality of life. Annals of Oncology. 28. v112–v112. 4 indexed citations

16.

Stupp, Roger, Martin Taphoorn, Sophie Taillibert, et al.. (2017). Tumor Treating Fields (TTFields)—A Novel Cancer Treatment Modality: Translating Preclinical Evidence and Engineering Into a Survival Benefit with Delayed Decline in Quality of Life. International Journal of Radiation Oncology*Biology*Physics. 99(5). 1316–1316. 9 indexed citations

17.

Urman, Noa, Gitit Lavy-Shahaf, Cornelia Wenger, et al.. (2017). ACTR-91. NUMERICAL SIMULATIONS OF TTFIELDS DISTRIBUTION IN PATIENT MODELS REVEALS A CONNECTION BETWEEN FIELD INTENSITY AND PATIENT OUTCOME. Neuro-Oncology. 19(suppl_6). vi20–vi20. 1 indexed citations

18.

Amu, Sylvie, Gitit Lavy-Shahaf, Alberto Cagigi, et al.. (2014). Frequency and phenotype of B cell subpopulations in young and aged HIV-1 infected patients receiving ART. Retrovirology. 11(1). 76–76. 26 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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