Maayan Pour
Impact in
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
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- Cancer Genomics and Diagnostics
Papers in
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- Developmental Biology and Gene Regulation 3
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 1
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- Nanoplatforms for cancer theranostics 2
- Co-authors
- Itai Yanai (3 shared papers)Bo Xia (2 shared papers)Gregor Werba (1 shared paper)Gustavo S. França (1 shared paper)Ian D. Dryg (1 shared paper)Reuben M. Moncada (1 shared paper)Iman Osman (1 shared paper)Dalia Barkley (1 shared paper)
- Journals
- Nature (2 papers)Development (1 paper)iScience (1 paper)Developmental Cell (1 paper)Nature Genetics (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Maayan Pour
10 papers receiving 615 citations
Maayan Pour's Hit Papers
Peers
Comparison fields: 5 of 66
- Oncology 168
- Cancer Research 72
- Molecular Biology 299
- Otorhinolaryngology 10
- Hepatology 15
Countries citing papers authored by Maayan Pour
This map shows the geographic impact of Maayan Pour'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 Maayan Pour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maayan Pour more than expected).
Fields of papers citing papers by Maayan Pour
This network shows the impact of papers produced by Maayan Pour. 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 Maayan Pour. The network helps show where Maayan Pour may publish in the future.
Co-authors
The 25 scholars most cited alongside Maayan Pour, 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 | Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment Hit paper breakdown → | 2022 | 334 |
| 2 | Cellular adaptation to cancer therapy along a resistance continuum Hit paper breakdown → | 2024 | 112 |
| 3 | 2024 | 53 | |
| 4 | 2019 | 34 | |
| 5 | 2019 | 24 | |
| 6 | 2016 | 23 | |
| 7 | 2015 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 3 |
About Maayan Pour
Maayan Pour is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Plant Science and Nuclear Energy and Engineering, having authored 10 papers that have together received 626 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (3 papers), Pluripotent Stem Cells Research (2 papers), Nanoplatforms for cancer theranostics (2 papers), Single-cell and spatial transcriptomics (2 papers), Chromosomal and Genetic Variations (1 paper), Cancer Cells and Metastasis (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Oncology (168 citations), Cancer Research (72 citations), Molecular Biology (299 citations), Otorhinolaryngology (10 citations) and Hepatology (15 citations). Maayan Pour has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Itai Yanai, Bo Xia, Gregor Werba, Gustavo S. França, Ian D. Dryg, Reuben M. Moncada, Iman Osman, Dalia Barkley, Maayan Baron and Cristina H Hajdu. Their work appears in journals such as Nature, Development, iScience, Developmental Cell and Nature 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.