Buğra Özer

538 citations
16 papers · 346 · h-index 8

Impact in

Papers in

    • Bioinformatics and Genomic Networks 4
    • Machine Learning in Bioinformatics 3
    • Epigenetics and DNA Methylation 2
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Genetics and Neurodevelopmental Disorders 2

Buğra Özer

15 papers receiving 333 citations

Peers

Buğra Özer
Comparison fields: 5 of 61
  • Computational Theory and Mathematics 56
  • Molecular Biology 237
  • Cancer Research 49
  • Hematology 25
  • Oncology 58
Replace Julian Schwab with:
Julian Schwab Germany
Samira Jaeger Germany
Luwei Liu United States
Alberto Calderone Italy
Christian Cumbaa Canada
Vasileios Stathias United States
Yu‐Chen Lo United States
Byoung-Ha Yoon South Korea
Jonathan Wagg Switzerland
Kazimierz O. Wrzeszczyński United States
Buğra Özer relative to Julian Schwab Germany Julian Schwab's profile →
Citations per field
00.5×1.5×2.5×
Julian Schwab · 1×
Citations per year

Countries citing papers authored by Buğra Özer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Buğra Özer Line = papers co-authored together Buğra Özer links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201882
2 201774
3 202064
4 201546
5 201517
6 201916
7 201613
8 20228
9 20197
10 20157
11 20224
12 20243
13 20152
14 20102
15 20171
16 20250

About Buğra Özer

Buğra Özer is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 16 papers that have together received 346 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Machine Learning in Bioinformatics (3 papers), Computational Drug Discovery Methods (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Computational Theory and Mathematics (56 citations), Molecular Biology (237 citations), Cancer Research (49 citations), Hematology (25 citations) and Oncology (58 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, Patrizio Di Micco, Albert A. Antolín, Costas Mitsopoulos, Bissan Al‐Lazikani, Mete Akgün, Christos Kannas and Osman Uğur Sezerman. Their work appears in journals such as Nucleic Acids Research, Molecular Cancer Therapeutics, Journal of Inherited Metabolic Disease, Nature Communications 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.

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