Buğra Özer
Impact in
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- Computational Drug Discovery Methods
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- Protein Degradation and Inhibitors
Papers in
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- Computational Drug Discovery Methods 3
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- Epigenetics and DNA Methylation 2
- Heat shock proteins research 1
- Protein Degradation and Inhibitors 1
- Genomics and Phylogenetic Studies 1
- 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)Patrizio Di Micco (2 shared papers)Christos C. Kannas (2 shared papers)Albert A. Antolín (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Molecular Cancer Therapeutics (1 paper)Nature Communications (1 paper)Journal of Biomedical Informatics (1 paper)Functional & Integrative Genomics (1 paper)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Buğra Özer
17 papers receiving 392 citations
Peers
Comparison fields: 5 of 37
- Computational Theory and Mathematics 47
- Molecular Biology 101
- Health Informatics 3
- Artificial Intelligence 32
- Cell Biology 10
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 | 97 | |
| 2 | 2017 | 81 | |
| 3 | 2020 | 77 | |
| 4 | 2015 | 59 | |
| 5 | 2019 | 21 | |
| 6 | 2015 | 20 | |
| 7 | 2016 | 14 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 8 | |
| 10 | 2024 | 8 | |
| 11 | 2015 | 7 | |
| 12 | 2022 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2012 | 2 | |
| 17 | 2017 | 1 |
About Buğra Özer
Buğra Özer is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Epigenetics and DNA Methylation (2 papers), Privacy-Preserving Technologies in Data (1 paper), Lung Cancer Treatments and Mutations (1 paper), Heat shock proteins research (1 paper), Protein Degradation and Inhibitors (1 paper), Hereditary Neurological Disorders (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (47 citations), Molecular Biology (101 citations), Health Informatics (3 citations), Artificial Intelligence (32 citations) and Cell Biology (10 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, Patrizio Di Micco, Christos C. Kannas, Albert A. Antolín, Costas Mitsopoulos and Eloy D. Villasclaras-Fernández. Their work appears in journals such as Nucleic Acids Research, Molecular Cancer Therapeutics, Nature Communications, Journal of Biomedical Informatics and Functional & Integrative Genomics.
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.