Noam Levaot
Impact in
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- Bone health and treatments
- PARP inhibition in cancer therapy
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- Bone Tumor Diagnosis and Treatments
Papers in
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- Bone Metabolism and Diseases 9
- S100 Proteins and Annexins 4
- Wnt/β-catenin signaling in development and cancer 2
- Oncology 8
- Bone health and treatments 8
- Co-authors
- Michal Hershfinkel (1 shared paper)Gali Guterman‐Ram (6 shared papers)Salima Janmohamed (2 shared papers)Paul D. Simoncic (2 shared papers)Andrew J. Scotter (2 shared papers)Ioannis D. Dimitriou (2 shared papers)Robert Rottapel (2 shared papers)José La Rose (2 shared papers)
- Journals
- The FASEB Journal (1 paper)Cell (1 paper)Bone Research (1 paper)Biomaterials (1 paper)PLoS Genetics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Noam Levaot
18 papers receiving 543 citations
Peers
Comparison fields: 5 of 78
- Oncology 165
- Rheumatology 62
- Molecular Biology 297
- Immunology 86
- Physiology 19
Countries citing papers authored by Noam Levaot
This map shows the geographic impact of Noam Levaot'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 Noam Levaot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Levaot more than expected).
Fields of papers citing papers by Noam Levaot
This network shows the impact of papers produced by Noam Levaot. 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 Noam Levaot. The network helps show where Noam Levaot may publish in the future.
Co-authors
The 25 scholars most cited alongside Noam Levaot, 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 | 2011 | 150 | |
| 2 | 2018 | 80 | |
| 3 | 2011 | 58 | |
| 4 | 2015 | 51 | |
| 5 | 2019 | 36 | |
| 6 | 2022 | 33 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 21 | |
| 10 | 2015 | 18 | |
| 11 | 2022 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 9 | |
| 14 | 2020 | 8 | |
| 15 | 2017 | 6 | |
| 16 | 2025 | 4 | |
| 17 | 2023 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2024 | 0 |
About Noam Levaot
Noam Levaot is a scholar working on Molecular Biology, Oncology, Genetics, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 547 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Bone health and treatments (8 papers), S100 Proteins and Annexins (4 papers), Bone Tumor Diagnosis and Treatments (2 papers), Trace Elements in Health (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Oncology (165 citations), Rheumatology (62 citations), Molecular Biology (297 citations), Immunology (86 citations) and Physiology (19 citations). Noam Levaot has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Michal Hershfinkel, Gali Guterman‐Ram, Salima Janmohamed, Paul D. Simoncic, Andrew J. Scotter, Ioannis D. Dimitriou, Robert Rottapel, José La Rose, Fabrice Sircoulomb and Shengqing Gu. Their work appears in journals such as The FASEB Journal, Cell, Bone Research, Biomaterials and PLoS Genetics.
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.