Gat Rauner
Impact in
Papers in
- Oncology 18
- Cancer Cells and Metastasis 17
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- Muscle Physiology and Disorders 3
- Co-authors
- Itamar Barash (7 shared papers)Gabi Shefer (3 shared papers)Zipora Yablonka‐Reuveni (3 shared papers)Dafna Benayahu (3 shared papers)Gerlinde R. Van de Walle (5 shared papers)Charlotte Kuperwasser (7 shared papers)Pascal Stuelsatz (1 shared paper)Eli Carmeli (1 shared paper)
- Journals
- Journal of Mammary Gland Biology and Neoplasia (3 papers)PLoS ONE (3 papers)Development (2 papers)Stem Cell Reports (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesIsraelTaiwan
In The Last Decade
Gat Rauner
23 papers receiving 469 citations
Peers
Comparison fields: 5 of 62
- Aging 31
- Genetics 88
- Rehabilitation 35
- Oncology 133
- Agronomy and Crop Science 41
Countries citing papers authored by Gat Rauner
This map shows the geographic impact of Gat Rauner'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 Gat Rauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gat Rauner more than expected).
Fields of papers citing papers by Gat Rauner
This network shows the impact of papers produced by Gat Rauner. 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 Gat Rauner. The network helps show where Gat Rauner may publish in the future.
Co-authors
The 25 scholars most cited alongside Gat Rauner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 156 | |
| 2 | 2012 | 54 | |
| 3 | 2013 | 47 | |
| 4 | 2011 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2007 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2017 | 19 | |
| 9 | 2013 | 15 | |
| 10 | 2015 | 14 | |
| 11 | 2018 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2014 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2025 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2025 | 2 |
About Gat Rauner
Gat Rauner is a scholar working on Oncology, Molecular Biology, Genetics, Cancer Research and Biomedical Engineering, having authored 23 papers that have together received 473 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (17 papers), Mesenchymal stem cell research (6 papers), MicroRNA in disease regulation (3 papers), 3D Printing in Biomedical Research (3 papers), Cancer Genomics and Diagnostics (3 papers), Muscle Physiology and Disorders (3 papers), Cell Adhesion Molecules Research (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Aging (31 citations), Genetics (88 citations), Rehabilitation (35 citations), Oncology (133 citations) and Agronomy and Crop Science (41 citations). Gat Rauner has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Itamar Barash, Gabi Shefer, Zipora Yablonka‐Reuveni, Dafna Benayahu, Gerlinde R. Van de Walle, Charlotte Kuperwasser, Pascal Stuelsatz, Eli Carmeli, Marc A. Antonyak and Anthony M.C. Brown. Their work appears in journals such as Journal of Mammary Gland Biology and Neoplasia, PLoS ONE, Development, Stem Cell Reports and Nature Methods.
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.