Neta Moskovits
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
- Oncology 9
- Cancer-related Molecular Pathways 5
- Cancer Cells and Metastasis 5
-
- Epigenetics and DNA Methylation 2
- Co-authors
- Moshe Oren (7 shared papers)Zvi Bentwich (1 shared paper)Yael Spector (1 shared paper)Nitzan Rosenfeld (1 shared paper)Eti Meiri (1 shared paper)Jair Bar (3 shared papers)Alexander Kalinkovich (1 shared paper)Tsvee Lapidot (1 shared paper)
- Journals
- Cancer Research (2 papers)Journal of Visualized Experiments (2 papers)Cell Death and Differentiation (1 paper)Oncogene (1 paper)Pharmaceuticals (1 paper)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Neta Moskovits
18 papers receiving 1.9k citations
Neta Moskovits's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 995
- Oncology 476
- Molecular Biology 1.3k
- Immunology 158
- Geriatrics and Gerontology 23
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 | 1138 |
| 2 | 2008 | 234 | |
| 3 | 2021 | 173 | |
| 4 | 2006 | 128 | |
| 5 | 2010 | 90 | |
| 6 | 2015 | 63 | |
| 7 | 2008 | 54 | |
| 8 | 2009 | 40 | |
| 9 | 2020 | 17 | |
| 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 Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Cancer Research, having authored 18 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Cancer Cells and Metastasis (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mathematical Biology Tumor Growth (2 papers), Advanced Breast Cancer Therapies (2 papers), Epigenetics and DNA Methylation (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (995 citations), Oncology (476 citations), Molecular Biology (1.3k citations), Immunology (158 citations) and Geriatrics and Gerontology (23 citations). Neta Moskovits has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Moshe Oren, Zvi Bentwich, Yael Spector, Nitzan Rosenfeld, Eti Meiri, Jair Bar, Alexander Kalinkovich, Tsvee Lapidot, Yael Aylon and Salomon M. Stemmer. Their work appears in journals such as Cancer Research, Journal of Visualized Experiments, Cell Death and Differentiation, Oncogene and Pharmaceuticals.
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.