Ali Özeş
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- DNA Repair Mechanisms
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
Papers in
-
- RNA modifications and cancer 6
- Circular RNAs in diseases 5
- RNA Research and Splicing 5
- DNA Repair Mechanisms 3
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 2
-
- Cancer-related molecular mechanisms research 9
- Co-authors
- Kenneth P. Nephew (12 shared papers)Daniela Matei (3 shared papers)Osman N. Özeş (2 shared papers)Tim Huang (1 shared paper)Yaowen Liu (1 shared paper)Christopher S. Fraser (2 shared papers)Xingyue Zong (4 shared papers)Fang Fang (4 shared papers)
- Journals
- Cancer Research (4 papers)Clinical Cancer Research (2 papers)Molecular Cancer Therapeutics (2 papers)Oncogene (2 papers)Nature Protocols (1 paper)
- Partner nations
- United StatesTürkiye
In The Last Decade
Ali Özeş
16 papers receiving 745 citations
Peers
Comparison fields: 5 of 59
- Cancer Research 344
- Molecular Biology 596
- Oncology 148
- Reproductive Medicine 41
- Immunology 40
Countries citing papers authored by Ali Özeş
This map shows the geographic impact of Ali Özeş'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 Ali Özeş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Özeş more than expected).
Fields of papers citing papers by Ali Özeş
This network shows the impact of papers produced by Ali Özeş. 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 Ali Özeş. The network helps show where Ali Özeş may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Özeş, 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 | 2016 | 241 | |
| 2 | 2017 | 114 | |
| 3 | 2018 | 100 | |
| 4 | 2011 | 90 | |
| 5 | 2020 | 46 | |
| 6 | 2013 | 41 | |
| 7 | 2014 | 34 | |
| 8 | 2018 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 20 | |
| 11 | 2024 | 8 | |
| 12 | 2013 | 3 | |
| 13 | Therapeutic targeting using tumor specific peptides inhibits long non-coding RNA HOTAIR activity in ovarian and breast cancer | 2017 | 1 |
| 14 | 2014 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2023 | 1 |
About Ali Özeş
Ali Özeş is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 16 papers that have together received 749 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (6 papers), Circular RNAs in diseases (5 papers), RNA Research and Splicing (5 papers), DNA Repair Mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), PARP inhibition in cancer therapy (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cancer Research (344 citations), Molecular Biology (596 citations), Oncology (148 citations), Reproductive Medicine (41 citations) and Immunology (40 citations). Ali Özeş has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Kenneth P. Nephew, Daniela Matei, Osman N. Özeş, Tim Huang, Yaowen Liu, Christopher S. Fraser, Xingyue Zong, Fang Fang, Jay Pilrose and Yinu Wang. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Molecular Cancer Therapeutics, Oncogene and Nature Protocols.
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.