Maya Jeitany
Impact in
- Aging top 10%
- Physiology top 10%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
- DNA Repair Mechanisms 3
- RNA modifications and cancer 2
- RNA Interference and Gene Delivery 2
- Protein Degradation and Inhibitors 1
-
- Telomeres, Telomerase, and Senescence 5
- Co-authors
- François D. Boussin (5 shared papers)José Ramón Pineda (4 shared papers)Rachel Litman Flynn (1 shared paper)Hiroaki Wakimoto (1 shared paper)Lee Zou (1 shared paper)Neil J. Ganem (1 shared paper)Daniel A. Haber (1 shared paper)Francesca Bersani (1 shared paper)
- Journals
- Oncotarget (2 papers)Science (1 paper)Nature Communications (1 paper)Molecular Therapy — Nucleic Acids (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- SingaporeFranceUnited States
In The Last Decade
Maya Jeitany
10 papers receiving 546 citations
Maya Jeitany's Hit Papers
Peers
Comparison fields: 5 of 58
- Aging 25
- Physiology 213
- Immunology and Allergy 45
- Genetics 66
- Molecular Biology 385
Countries citing papers authored by Maya Jeitany
This map shows the geographic impact of Maya Jeitany'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 Maya Jeitany with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Jeitany more than expected).
Fields of papers citing papers by Maya Jeitany
This network shows the impact of papers produced by Maya Jeitany. 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 Maya Jeitany. The network helps show where Maya Jeitany may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Jeitany, 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 | Alternative lengthening of telomeres renders cancer cells hypersensitive to ATR inhibitors Hit paper breakdown → | 2015 | 376 |
| 2 | 2018 | 90 | |
| 3 | 2014 | 22 | |
| 4 | 2020 | 12 | |
| 5 | 2021 | 12 | |
| 6 | 2023 | 12 | |
| 7 | 2017 | 9 | |
| 8 | 2017 | 9 | |
| 9 | 2019 | 6 | |
| 10 | 2025 | 2 | |
| 11 | 2024 | 0 |
About Maya Jeitany
Maya Jeitany is a scholar working on Molecular Biology, Physiology, Oncology, Hematology and Surgery, having authored 11 papers that have together received 550 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (1 paper), Protein Degradation and Inhibitors (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Aging (25 citations), Physiology (213 citations), Immunology and Allergy (45 citations), Genetics (66 citations) and Molecular Biology (385 citations). Maya Jeitany has collaborated with scholars based in Singapore, France and United States. Frequent co-authors include François D. Boussin, José Ramón Pineda, Rachel Litman Flynn, Hiroaki Wakimoto, Lee Zou, Neil J. Ganem, Daniel A. Haber, Francesca Bersani, Alysia R. Bryll and Mario L. Suvà. Their work appears in journals such as Oncotarget, Science, Nature Communications, Molecular Therapy — Nucleic Acids and EMBO Molecular Medicine.
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.