Moshe Elkabets

5.1k total citations
84 papers, 3.0k citations indexed

About

Moshe Elkabets is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Moshe Elkabets has authored 84 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Oncology and 23 papers in Immunology. Recurrent topics in Moshe Elkabets's work include Immune Cell Function and Interaction (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Lung Cancer Treatments and Mutations (8 papers). Moshe Elkabets is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Lung Cancer Treatments and Mutations (8 papers). Moshe Elkabets collaborates with scholars based in Israel, United States and China. Moshe Elkabets's co-authors include Ron N. Apte, Elena Voronov, Shahar Dotan, Yakov Krelin, Yaron Carmi, Eli Reich, Maurizio Scaltriti, José Baselga, Charles A. Dinarello and Malka R. White and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Moshe Elkabets

78 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moshe Elkabets Israel 25 1.4k 1.2k 1.1k 467 295 84 3.0k
Giovanni Germano Italy 18 1.1k 0.8× 1.3k 1.1× 1.3k 1.2× 482 1.0× 306 1.0× 27 2.9k
Xing Huang China 29 1.7k 1.2× 838 0.7× 1.2k 1.1× 658 1.4× 439 1.5× 110 3.2k
Jennifer L. Guerriero United States 19 1.0k 0.8× 1.2k 1.0× 1.2k 1.1× 311 0.7× 249 0.8× 50 2.5k
Wijnand Helfrich Netherlands 38 1.7k 1.2× 1.4k 1.2× 1.2k 1.1× 267 0.6× 389 1.3× 114 3.7k
Sophia N. Karagiannis United Kingdom 37 1.2k 0.9× 1.8k 1.6× 1.3k 1.2× 234 0.5× 257 0.9× 127 4.0k
Jamal Majidpoor Iran 30 1.5k 1.1× 866 0.7× 1.1k 1.1× 974 2.1× 312 1.1× 67 3.1k
Shengyong Yin China 27 1.3k 0.9× 547 0.5× 879 0.8× 603 1.3× 240 0.8× 78 2.7k
Xi Zhang China 32 1.8k 1.3× 1.0k 0.9× 1.8k 1.7× 462 1.0× 216 0.7× 274 4.6k
Xiangliang Yuan China 22 1.6k 1.2× 1.1k 0.9× 786 0.7× 860 1.8× 308 1.0× 38 2.8k
Antonella Sistigu Italy 24 825 0.6× 1.5k 1.3× 1.6k 1.5× 276 0.6× 316 1.1× 38 2.9k

Countries citing papers authored by Moshe Elkabets

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Elkabets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Elkabets

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Elkabets. A scholar is included among the top collaborators of Moshe Elkabets 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 Moshe Elkabets. Moshe Elkabets 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.
Cohen, Limor, Riki Goldbart, Tamar Traitel, et al.. (2025). Targeted siRNA Delivery Using Cetuximab‐Conjugated Starch for Epidermal Growth Factor Receptor‐Driven Head and Neck Squamous Cell Carcinoma. Small Science. 5(7). 2500073–2500073.
2.
Sklarz, Menachem Y., Ehud Ohana, Idan Cohen, et al.. (2025). Pharmacological activation of SIRT6 suppresses progression of head and neck and esophageal squamous cell carcinoma by modulation of cellular metabolism and protein translation. Cell Death and Disease. 16(1). 727–727. 1 indexed citations
3.
Jagadeeshan, Sankar, Manu Prasad, Noam Erez, et al.. (2025). Anti-PD1 prolongs the response of PI3K and farnesyl transferase inhibition in HRAS- and PIK3CA-mutant head and neck cancers. Neoplasia. 63. 101157–101157. 1 indexed citations
4.
Elkabets, Moshe, et al.. (2024). Unravelling the Complexity of HNSCC Using Single-Cell Transcriptomics. Cancers. 16(19). 3265–3265. 2 indexed citations
5.
Goldbart, Riki, et al.. (2024). Effect of Degree of Substitution and Molecular Weight on Transfection Efficacy of Starch-Based siRNA Delivery System. SHILAP Revista de lepidopterología. 5(4). 580–597. 2 indexed citations
6.
Yegodayev, Ksenia M., Uzi Hadad, Riki Goldbart, et al.. (2024). The Potential of PIP3 in Enhancing Wound Healing. International Journal of Molecular Sciences. 25(3). 1780–1780. 4 indexed citations
7.
Zorea, Jonathan, et al.. (2023). Cargo-Dependent Targeted Cellular Uptake Using Quaternized Starch as a Carrier. Nanomaterials. 13(13). 1988–1988. 7 indexed citations
8.
9.
Cohen, Itay, Irit Allon, Oshrit Ben‐David, et al.. (2023). Serine protease inhibitors decrease metastasis in prostate, breast, and ovarian cancers. Molecular Oncology. 17(11). 2337–2355. 4 indexed citations
10.
Bouaoud, Jebrane, Paolo Bossi, Moshe Elkabets, et al.. (2022). Unmet Needs and Perspectives in Oral Cancer Prevention. Cancers. 14(7). 1815–1815. 24 indexed citations
11.
Delgado, Bertha, et al.. (2021). High parathyroid hormone levels after parathyroidectomy for parathyroid adenoma are not related to the cellularity of the remaining glands. Laryngoscope Investigative Otolaryngology. 6(5). 1220–1227. 3 indexed citations
12.
Goldbart, Riki, et al.. (2021). Quaternized Starch-Based Composite Nanoparticles for siRNA Delivery to Tumors. ACS Applied Nano Materials. 4(2). 2218–2229. 8 indexed citations
13.
Liju, Vijayasteltar Belsamma, Nikhil Ponnoor Anto, Ilan Smoly, et al.. (2021). Unraveling the hidden role of a uORF-encoded peptide as a kinase inhibitor of PKCs. Proceedings of the National Academy of Sciences. 118(40). 30 indexed citations
14.
Goldbart, Riki, Tamar Traitel, Jonathan Zorea, et al.. (2021). Cell stiffness predicts cancer cell sensitivity to ultrasound as a selective superficial cancer therapy. Bioengineering & Translational Medicine. 6(3). e10226–e10226. 14 indexed citations
15.
Peng, Xin, Shaolu Zhang, Zhenxing Zhong, et al.. (2021). Hydroxychloroquine synergizes with the PI3K inhibitor BKM120 to exhibit antitumor efficacy independent of autophagy. Journal of Experimental & Clinical Cancer Research. 40(1). 374–374. 22 indexed citations
16.
Popovtzer, Aron, Muhammed Iraqi, Angel Porgador, et al.. (2020). CDK 4/6 Inhibition Overcomes Acquired and Inherent Resistance to PI3Kα Inhibition in Pre-Clinical Models of Head and Neck Squamous Cell Carcinoma. Journal of Clinical Medicine. 9(10). 3214–3214. 6 indexed citations
17.
Cooks, Tomer, et al.. (2020). Potential oncogenic roles of mutant-p53-derived exosomes in the tumor–host interaction of head and neck cancers. Cancer Immunology Immunotherapy. 69(2). 285–292. 9 indexed citations
18.
Kundu, Kiran, Susmita Ghosh, Rhitajit Sarkar, et al.. (2019). Inhibition of the NKp44-PCNA Immune Checkpoint Using a mAb to PCNA. Cancer Immunology Research. 7(7). 1120–1134. 29 indexed citations
19.
Elkabets, Moshe & Samuel Brook. (2018). Methods to Study the Role of Progranulin in the Tumor Microenvironment. Methods in molecular biology. 1806. 155–176. 1 indexed citations
20.
Elkabets, Moshe, et al.. (2004). Differential effects of monastrol in two human cell lines. Cellular and Molecular Life Sciences. 61(16). 2060–70. 47 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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