Neta Moskovits

2.4k total citations · 1 hit paper
18 papers, 1.9k citations indexed

About

Neta Moskovits is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Neta Moskovits has authored 18 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Neta Moskovits's work include Cancer Cells and Metastasis (5 papers), Cancer-related Molecular Pathways (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Neta Moskovits is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cancer-related Molecular Pathways (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Neta Moskovits collaborates with scholars based in Israel, United States and Canada. Neta Moskovits's co-authors include Moshe Oren, Yael Spector, Eti Meiri, Zvi Bentwich, Nitzan Rosenfeld, Jair Bar, Tsvee Lapidot, Alexander Kalinkovich, Salomon M. Stemmer and Yael Aylon and has published in prestigious journals such as Genes & Development, Molecular Cell and Cancer Research.

In The Last Decade

Neta Moskovits

18 papers receiving 1.9k citations

Hit Papers

Transcriptional Activation of miR-34a Contributes to p53-... 2007 2026 2013 2019 2007 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neta Moskovits Israel 10 1.3k 1.0k 539 176 164 18 1.9k
Tyler E. Miller United States 18 1.6k 1.2× 1.0k 1.0× 477 0.9× 189 1.1× 440 2.7× 29 2.6k
Leni S. Jacob United States 8 1.8k 1.4× 1.3k 1.3× 335 0.6× 382 2.2× 120 0.7× 8 2.4k
Jodie M. Fleming United States 21 580 0.4× 406 0.4× 509 0.9× 137 0.8× 43 0.3× 40 1.2k
Xincheng Lu China 16 1.2k 0.9× 624 0.6× 357 0.7× 222 1.3× 26 0.2× 30 1.6k
Jiang Ren China 21 772 0.6× 289 0.3× 499 0.9× 212 1.2× 43 0.3× 34 1.3k
Damian J. Junk United States 17 777 0.6× 341 0.3× 695 1.3× 320 1.8× 33 0.2× 27 1.4k
Eleonora Leucci Italy 24 1.4k 1.0× 1.1k 1.1× 364 0.7× 180 1.0× 22 0.1× 47 2.0k
Andrew R. Chin United States 14 1.2k 0.9× 857 0.8× 312 0.6× 253 1.4× 24 0.1× 16 1.6k
Olivier Déas France 16 1.1k 0.8× 584 0.6× 212 0.4× 363 2.1× 34 0.2× 40 1.5k
Ran-Yi Liu China 18 487 0.4× 242 0.2× 298 0.6× 130 0.7× 67 0.4× 26 882

Countries citing papers authored by Neta Moskovits

Since Specialization
Citations

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

Fields of papers citing papers by Neta Moskovits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Moskovits

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

All Works

18 of 18 papers shown
1.
Atkins, Ayelet, et al.. (2023). Tumor‐Targeted Poly(ArgGlyAsp) Nanocapsules for Personalized Cancer Therapy – In Vivo Study. Advanced Therapeutics. 6(6). 2 indexed citations
2.
Elias, Yuval, et al.. (2023). Proteinoid Polymers and Nanocapsules for Cancer Diagnostics, Therapy and Theranostics: In Vitro and In Vivo Studies. Journal of Functional Biomaterials. 14(4). 215–215. 5 indexed citations
3.
Eliakim‐Raz, Noa, Amos Stemmer, Noam Erez, et al.. (2022). Three-month follow-up of durability of response to the third dose of the SARS-CoV-2 BNT162b2 vaccine in adults aged 60 years and older: a prospective cohort study. BMJ Open. 12(8). e061584–e061584. 4 indexed citations
5.
Bar‐Haim, Erez, Noa Eliakim‐Raz, Amos Stemmer, et al.. (2022). Humoral and T-Cell Response before and after a Fourth BNT162b2 Vaccine Dose in Adults ≥60 Years. Journal of Clinical Medicine. 11(9). 2649–2649. 3 indexed citations
6.
Moskovits, Neta, et al.. (2022). Establishing 3-Dimensional Spheroids from Patient-Derived Tumor Samples and Evaluating their Sensitivity to Drugs. Journal of Visualized Experiments. 2 indexed citations
7.
Moskovits, Neta, et al.. (2022). Establishing 3-Dimensional Spheroids from Patient-Derived Tumor Samples and Evaluating their Sensitivity to Drugs. Journal of Visualized Experiments. 1 indexed citations
8.
Moskovits, Neta, et al.. (2021). Tumor-Targeted Fluorescent Proteinoid Nanocapsules Encapsulating Synergistic Drugs for Personalized Cancer Therapy. Pharmaceuticals. 14(7). 648–648. 7 indexed citations
9.
Eliakim‐Raz, Noa, Amos Stemmer, Adva Levy‐Barda, et al.. (2021). Evaluation of Seropositivity Following BNT162b2 Messenger RNA Vaccination for SARS-CoV-2 in Patients Undergoing Treatment for Cancer. JAMA Oncology. 7(8). 1133–1133. 170 indexed citations
10.
Barnea, Eilon, Nir Peled, Eli Rosenbaum, et al.. (2020). Identification of Tumor Antigens in the HLA Peptidome of Patient-derived Xenograft Tumors in Mouse. Molecular & Cellular Proteomics. 19(8). 1360–1374. 15 indexed citations
11.
Vilela, Patrick, Neta Moskovits, Iris Barshack, et al.. (2020). Inhibition of fibroblast secreted QSOX1 perturbs extracellular matrix in the tumor microenvironment and decreases tumor growth and metastasis in murine cancer models. Oncotarget. 11(4). 386–398. 16 indexed citations
12.
Harel, S, Noa Bossel Ben‐Moshe, Yael Aylon, et al.. (2015). Reactivation of epigenetically silenced miR-512 and miR-373 sensitizes lung cancer cells to cisplatin and restricts tumor growth. Cell Death and Differentiation. 22(8). 1328–1340. 61 indexed citations
13.
Addadi, Yoseph, Neta Moskovits, Dorit Granot, et al.. (2010). p53 Status in Stromal Fibroblasts Modulates Tumor Growth in an SDF1-Dependent Manner. Cancer Research. 70(23). 9650–9658. 88 indexed citations
14.
Bar, Jair, Neta Moskovits, & Moshe Oren. (2009). Involvement of stromal p53 in tumor-stroma interactions. Seminars in Cell and Developmental Biology. 21(1). 47–54. 40 indexed citations
15.
Shema, Efrat, Itay Tirosh, Yael Aylon, et al.. (2008). The histone H2B-specific ubiquitin ligase RNF20/hBRE1 acts as a putative tumor suppressor through selective regulation of gene expression. Genes & Development. 22(19). 2664–2676. 224 indexed citations
16.
Bar, Jair, Rotem Feniger-Barish, Natalia Lukashchuk, et al.. (2008). Cancer cells suppress p53 in adjacent fibroblasts. Oncogene. 28(6). 933–936. 53 indexed citations
17.
Meiri, Eti, Yael Spector, Nitzan Rosenfeld, et al.. (2007). Transcriptional Activation of miR-34a Contributes to p53-Mediated Apoptosis. Molecular Cell. 26(5). 731–743. 1084 indexed citations breakdown →
18.
Moskovits, Neta, Alexander Kalinkovich, Jair Bar, Tsvee Lapidot, & Moshe Oren. (2006). p53 Attenuates Cancer Cell Migration and Invasion through Repression of SDF-1/CXCL12 Expression in Stromal Fibroblasts. Cancer Research. 66(22). 10671–10676. 124 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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