Neta Moskovits

2.4k citations
18 papers · 1.9k indexed · 1 hit paper · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer-related Molecular Pathways

Papers in

Neta Moskovits

18 papers receiving 1.9k citations

Hit Papers

Transcriptional Activation of miR-34a Contributes to p53-Mediated Apoptosis 2007 · 1.1k citations
1.1k20072026201320192505007501000

Peers

Neta Moskovits
Comparison fields: 5 of 100
  • Cancer Research 1.0k
  • Oncology 539
  • Molecular Biology 1.3k
  • Infectious Diseases 164
  • Immunology 176
Replace Tyler E. Miller with:
Tyler E. Miller United States
Ran-Yi Liu China
Alexander Köenig Germany
Leni S. Jacob United States
Katherine B. Chiappinelli United States
David S. Garlick United States
Damian J. Junk United States
Jiang Ren China
Carlo Stresemann Germany
Eleonora Leucci Belgium
Neta Moskovits relative to Tyler E. Miller United States Tyler E. Miller's profile →
Citations per field
00.5×1.5×
Tyler E. Miller · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Neta Moskovits, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neta Moskovits Line = papers co-authored together Neta Moskovits links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Transcriptional Activation of miR-34a Contributes to p53-Mediated Apoptosis
Hit paper breakdown →
20071084
2 2008224
3 2021170
4 2006124
5 201088
6 201561
7 200853
8 200940
9 202016
10 202015
11 20217
12 20226
13 20235
14 20224
15 20223
16 20232
17 20222
18 20221

About Neta Moskovits

Neta Moskovits is a scholar working on Modeling and Simulation, Oncology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Cancer-related Molecular Pathways (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), MicroRNA in disease regulation (2 papers), Epigenetics and DNA Methylation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (1.0k citations), Oncology (539 citations), Molecular Biology (1.3k citations), Infectious Diseases (164 citations) and Immunology (176 citations). Neta Moskovits has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Moshe Oren, Yael Spector, Nitzan Rosenfeld, Zvi Bentwich, Eti Meiri, Jair Bar, Tsvee Lapidot, Alexander Kalinkovich, Salomon M. Stemmer and Yael Aylon. Their work appears in journals such as Journal of Visualized Experiments, Cancer Research, BMJ Open, Journal of Clinical Medicine and Seminars in Cell and Developmental Biology.

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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