Tunç Morova
Impact in
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- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
- Pluripotent Stem Cells Research
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
Papers in
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- Genomics and Chromatin Dynamics 5
- Ubiquitin and proteasome pathways 3
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- Pluripotent Stem Cells Research 2
- Renal and related cancers 2
- RNA Research and Splicing 2
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- Prostate Cancer Treatment and Research 5
- Co-authors
- Nathan A. Lack (13 shared papers)Tamer T. Önder (5 shared papers)Şule Arı (1 shared paper)James E. Dunford (1 shared paper)Martin Philpott (2 shared papers)Udo Oppermann (1 shared paper)Adam P. Cribbs (2 shared papers)Ahmet Cingöz (3 shared papers)
- Journals
- Communications Biology (2 papers)Oncogene (2 papers)Nature Communications (1 paper)Journal of Cell Science (1 paper)Physical review. E (1 paper)
- Partner nations
- TürkiyeCanadaUnited Kingdom
In The Last Decade
Tunç Morova
14 papers receiving 220 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 34
- Molecular Biology 159
- Pulmonary and Respiratory Medicine 61
- Genetics 32
- Oncology 26
Countries citing papers authored by Tunç Morova
This map shows the geographic impact of Tunç Morova'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 Tunç Morova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tunç Morova more than expected).
Fields of papers citing papers by Tunç Morova
This network shows the impact of papers produced by Tunç Morova. 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 Tunç Morova. The network helps show where Tunç Morova may publish in the future.
Co-authors
The 25 scholars most cited alongside Tunç Morova, 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 | 2019 | 69 | |
| 2 | 2020 | 36 | |
| 3 | 2019 | 33 | |
| 4 | 2022 | 26 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 |
About Tunç Morova
Tunç Morova is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Pharmacology, having authored 16 papers that have together received 222 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Genomics and Chromatin Dynamics (5 papers), Ubiquitin and proteasome pathways (3 papers), Epigenetics and DNA Methylation (3 papers), Protein Degradation and Inhibitors (2 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (34 citations), Molecular Biology (159 citations), Pulmonary and Respiratory Medicine (61 citations), Genetics (32 citations) and Oncology (26 citations). Tunç Morova has collaborated with scholars based in Türkiye, Canada and United Kingdom. Frequent co-authors include Nathan A. Lack, Tamer T. Önder, Şule Arı, James E. Dunford, Martin Philpott, Udo Oppermann, Adam P. Cribbs, Ahmet Cingöz, Tugba Bagcı-Önder and Nada Lallous. Their work appears in journals such as Communications Biology, Oncogene, Nature Communications, Journal of Cell Science and Physical review. E.
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.