Maayan Amit
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- RNA regulation and disease
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- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 5
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 1
- Wnt/β-catenin signaling in development and cancer 1
- Fibroblast Growth Factor Research 1
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- Cancer-related molecular mechanisms research 1
- Co-authors
- Gil Ast (7 shared papers)Tal Pupko (3 shared papers)Amir Goren (4 shared papers)Galit Lev-Maor (3 shared papers)Hadas Keren (2 shared papers)Oren Ram (2 shared papers)Ida Vig (1 shared paper)Sahar Gelfman (2 shared papers)
- Journals
- Genome Research (2 papers)BMC Molecular Biology (1 paper)Molecular Cancer (1 paper)Cell Reports (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Maayan Amit
8 papers receiving 667 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 547
- Cancer Research 79
- Genetics 59
- Genetics 18
- Aging 3
Countries citing papers authored by Maayan Amit
This map shows the geographic impact of Maayan Amit'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 Amit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maayan Amit more than expected).
Fields of papers citing papers by Maayan Amit
This network shows the impact of papers produced by Maayan Amit. 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 Amit. The network helps show where Maayan Amit may publish in the future.
Co-authors
The 25 scholars most cited alongside Maayan Amit, 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 | 2006 | 250 | |
| 2 | 2012 | 222 | |
| 3 | 2011 | 80 | |
| 4 | 2014 | 66 | |
| 5 | 2007 | 19 | |
| 6 | 2007 | 13 | |
| 7 | 2010 | 12 | |
| 8 | 2007 | 11 |
About Maayan Amit
Maayan Amit is a scholar working on Molecular Biology, Cancer Research, Infectious Diseases, Organic Chemistry and Surgery, having authored 8 papers that have together received 673 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Cancer-related molecular mechanisms research (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Molecular Biology (547 citations), Cancer Research (79 citations), Genetics (59 citations), Genetics (18 citations) and Aging (3 citations). Maayan Amit has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Gil Ast, Tal Pupko, Amir Goren, Galit Lev-Maor, Hadas Keren, Oren Ram, Ida Vig, Sahar Gelfman, Schraga Schwartz and David Burstein. Their work appears in journals such as Genome Research, BMC Molecular Biology, Molecular Cancer, Cell Reports and Nucleic Acids Research.
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.