Neta Moskovits
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in ⓘ
- Oncology 10
- Cancer Cells and Metastasis 5
- Cancer-related Molecular Pathways 5
- Co-authors
- Moshe Oren (7 shared papers)Yael Spector (1 shared paper)Nitzan Rosenfeld (1 shared paper)Zvi Bentwich (1 shared paper)Eti Meiri (1 shared paper)Jair Bar (3 shared papers)Tsvee Lapidot (1 shared paper)Alexander Kalinkovich (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cancer Research (2 papers)BMJ Open (1 paper)Journal of Clinical Medicine (1 paper)Seminars in Cell and Developmental Biology (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Neta Moskovits
18 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 1.0k
- Oncology 539
- Molecular Biology 1.3k
- Infectious Diseases 164
- Immunology 176
Countries citing papers authored by Neta Moskovits
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Transcriptional Activation of miR-34a Contributes to p53-Mediated Apoptosis Hit paper breakdown → | 2007 | 1084 |
| 2 | 2008 | 224 | |
| 3 | 2021 | 170 | |
| 4 | 2006 | 124 | |
| 5 | 2010 | 88 | |
| 6 | 2015 | 61 | |
| 7 | 2008 | 53 | |
| 8 | 2009 | 40 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 1 |
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.