Buğra Özer
Impact in
-
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
-
- Cancer Genomics and Diagnostics
Papers in
-
- Machine Learning in Bioinformatics 3
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
- Cancer-related gene regulation 2
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Paul Workman (4 shared papers)Mahmut Şamil Sağıroğlu (3 shared papers)Elizabeth A. Coker (3 shared papers)Bissan Al‐Lazikani (3 shared papers)Mete Akgün (1 shared paper)Costas Mitsopoulos (2 shared papers)Albert A. Antolín (2 shared papers)Patrizio Di Micco (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Functional & Integrative Genomics (1 paper)Nature Communications (1 paper)Journal of Inherited Metabolic Disease (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Buğra Özer
17 papers receiving 390 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 241
- Cancer Research 46
- Computational Theory and Mathematics 52
- Hematology 29
- Oncology 56
Countries citing papers authored by Buğra Özer
This map shows the geographic impact of Buğra Özer'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 Buğra Özer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Buğra Özer more than expected).
Fields of papers citing papers by Buğra Özer
This network shows the impact of papers produced by Buğra Özer. 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 Buğra Özer. The network helps show where Buğra Özer may publish in the future.
Co-authors
The 25 scholars most cited alongside Buğra Özer, 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 | 2018 | 96 | |
| 2 | 2017 | 80 | |
| 3 | 2020 | 76 | |
| 4 | 2015 | 59 | |
| 5 | 2019 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2016 | 14 | |
| 8 | 2022 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2015 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2015 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2010 | 2 | |
| 17 | 2017 | 1 |
About Buğra Özer
Buğra Özer is a scholar working on Molecular Biology, Cancer Research, Genetics, Spectroscopy and Computational Theory and Mathematics, having authored 17 papers that have together received 414 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Cancer Genomics and Diagnostics (2 papers), RNA modifications and cancer (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers), Cancer-related gene regulation (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Molecular Biology (241 citations), Cancer Research (46 citations), Computational Theory and Mathematics (52 citations), Hematology (29 citations) and Oncology (56 citations). Buğra Özer has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Paul Workman, Mahmut Şamil Sağıroğlu, Elizabeth A. Coker, Bissan Al‐Lazikani, Mete Akgün, Costas Mitsopoulos, Albert A. Antolín, Patrizio Di Micco, Christos C. Kannas and Osman Uğur Sezerman. Their work appears in journals such as Nucleic Acids Research, Functional & Integrative Genomics, Nature Communications, Journal of Inherited Metabolic Disease and Journal of Medicinal Chemistry.
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.