Shay Cahal

903 total citations
22 papers, 640 citations indexed

About

Shay Cahal is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Shay Cahal has authored 22 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 8 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Shay Cahal's work include Nanoplatforms for cancer theranostics (8 papers), 3D Printing in Biomedical Research (7 papers) and Immunotherapy and Immune Responses (5 papers). Shay Cahal is often cited by papers focused on Nanoplatforms for cancer theranostics (8 papers), 3D Printing in Biomedical Research (7 papers) and Immunotherapy and Immune Responses (5 papers). Shay Cahal collaborates with scholars based in United States, Switzerland and Israel. Shay Cahal's co-authors include Moshe Giladi, Uri Weinberg, Yoram Palti, Rosa S. Schneiderman, Eilon D. Kirson, Yaara Porat, Aviran Itzhaki, Mijal Munster, Tali Voloshin and Anna Shteingauz and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Shay Cahal

19 papers receiving 613 citations

Peers

Shay Cahal
Roni Blat Switzerland
Mijal Munster United States
Einav Zeevi United States
Noa Urman United States
Aafia Chaudhry United States
Noa Kaynan Israel
Adrian Kinzel United States
Maricruz Rivera United States
Roni Blat Switzerland
Shay Cahal
Citations per year, relative to Shay Cahal Shay Cahal (= 1×) peers Roni Blat

Countries citing papers authored by Shay Cahal

Since Specialization
Citations

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

Fields of papers citing papers by Shay Cahal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shay Cahal

This figure shows the co-authorship network connecting the top 25 collaborators of Shay Cahal. A scholar is included among the top collaborators of Shay Cahal 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 Shay Cahal. Shay Cahal 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.
Ladner, Katherine J., Xianda Zhao, Roni Blatt, et al.. (2025). Protocol for applying Tumor Treating Fields in mouse models of cancer using the inovivo system. STAR Protocols. 6(1). 103535–103535. 1 indexed citations
2.
Blatt, Roni, et al.. (2025). Abstract 5668: Preclinical efficacy of tumor treating fields (TTFields) for small cell lung carcinoma (SCLC). Cancer Research. 85(8_Supplement_1). 5668–5668.
3.
Blatt, Roni, Mijal Munster, Anna Shteingauz, et al.. (2021). In Vivo Safety of Tumor Treating Fields (TTFields) Applied to the Torso. Frontiers in Oncology. 11. 670809–670809. 20 indexed citations
4.
Voloshin, Tali, Noa Kaynan, Yaara Porat, et al.. (2020). Tumor-treating fields (TTFields) induce immunogenic cell death resulting in enhanced antitumor efficacy when combined with anti-PD-1 therapy. Cancer Immunology Immunotherapy. 69(7). 1191–1204. 114 indexed citations
5.
Voloshin, Tali, Noa Kaynan, Yaara Porat, et al.. (2020). Immunomodulatory effects of tumor treating fields (TTFields) on colon cancer models.. Journal of Clinical Oncology. 38(4_suppl). 136–136. 1 indexed citations
6.
Weinberg, Uri, Noa Kaynan, Yaara Porat, et al.. (2019). Immunomodulatory effects of Tumor Treating Fields (TTFields) on lung cancer models. Annals of Oncology. 30. ii2–ii3. 5 indexed citations
7.
Voloshin, Tali, Yaara Porat, Anna Shteingauz, et al.. (2019). Immunomodulatory Effect of Tumor Treating Fields (TTFields) Results in Enhanced Antitumor Efficacy When Combined with Anti-PD-1 Therapy in Mouse Model of Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 104(1). 237–237. 2 indexed citations
9.
Voloshin, Tali, Noa Kaynan, Yaara Porat, et al.. (2019). Immunogenic Cell Death Induced by Tumor Treating Fields (TTFields) Enhances Efficacy When Combined with Anti-PD-1 Therapy in Lung and Colon Cancer Animal Models. International Journal of Radiation Oncology*Biology*Physics. 105(1). E652–E652. 1 indexed citations
10.
Weinberg, Uri, Tali Voloshin, Noa Kaynan, et al.. (2017). Efficacy of Tumor Treating Fields (TTFields) and anti-PD-1 in non-small cell lung cancer (NSCLC) preclinical models. Annals of Oncology. 28. ii11–ii12. 1 indexed citations
11.
Voloshin, Tali, Noa Kaynan, Moshe Giladi, et al.. (2017). Abstract 3665: Tumor Treating Fields (TTFields) plus anti-PD-1 therapy induce immunogenic cell death resulting in enhanced antitumor efficacy. Cancer Research. 77(13_Supplement). 3665–3665. 6 indexed citations
12.
Voloshin, Tali, Noa Kaynan, Moshe Giladi, et al.. (2017). IMMU-59. ALTERNATING ELECTRIC FIELDS (TTFIELDs) INDUCE IMMUNOGENIC CELL DEATH RESULTING IN ENHANCED ANTITUMOR EFFICACY WHEN COMBINED WITH ANTI-PD-1 THERAPY. Neuro-Oncology. 19(suppl_6). vi126–vi126. 2 indexed citations
13.
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
14.
Voloshin, Tali, Mijal Munster, Roni Blatt, et al.. (2016). Alternating electric fields (TTFields) in combination with paclitaxel are therapeutically effective against ovarian cancer cells in vitro and in vivo. International Journal of Cancer. 139(12). 2850–2858. 61 indexed citations
15.
Giladi, Moshe, Tali Voloshin, Anna Shteingauz, et al.. (2016). Alternating electric fields (TTFields) induce immunogenic cell death resulting in enhanced antitumor efficacy when combined with anti-PD-1 therapy. The Journal of Immunology. 196(1_Supplement). 75.26–75.26. 8 indexed citations
16.
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
17.
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
18.
Giladi, Moshe, Uri Weinberg, Rosa S. Schneiderman, et al.. (2014). Alternating Electric Fields (Tumor-Treating Fields Therapy) Can Improve Chemotherapy Treatment Efficacy in Non-Small Cell Lung Cancer Both In Vitro and In Vivo. Seminars in Oncology. 41. S35–S41. 105 indexed citations
19.
Giladi, Moshe, Rosa S. Schneiderman, Yaara Porat, et al.. (2013). Mitotic disruption and reduced clonogenicity of pancreatic cancer cells in vitro and in vivo by tumor treating fields. Pancreatology. 14(1). 54–63. 75 indexed citations
20.
Giladi, Moshe, Rosa S. Schneiderman, Yaara Porat, et al.. (2013). Abstract 5569: Tumor Treating Fields inhibit the growth of pancreatic and ovarian cancer in preclinical models .. Cancer Research. 73(8_Supplement). 5569–5569. 1 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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