Bora Uyar
Impact in
- Aging top 5%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- Ubiquitin and proteasome pathways 7
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 4
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 4
- Gene expression and cancer classification 3
- Co-authors
- Toby J. Gibson (5 shared papers)Norman E. Davey (4 shared papers)Robert J. Weatheritt (4 shared papers)Holger Dinkel (4 shared papers)Aidan Budd (3 shared papers)Kim Van Roey (3 shared papers)Francesca Diella (2 shared papers)Brigitte Altenberg (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)The EMBO Journal (2 papers)Molecular BioSystems (2 papers)Nature Communications (2 papers)Trends in Biochemical Sciences (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Bora Uyar
25 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 127
- Aging 87
- Molecular Biology 2.0k
- Cell Biology 272
- Cancer Research 124
- Genetics 242
Countries citing papers authored by Bora Uyar
This map shows the geographic impact of Bora Uyar'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 Bora Uyar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bora Uyar more than expected).
Fields of papers citing papers by Bora Uyar
This network shows the impact of papers produced by Bora Uyar. 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 Bora Uyar. The network helps show where Bora Uyar may publish in the future.
Co-authors
The 25 scholars most cited alongside Bora Uyar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 481 | |
| 2 | 2011 | 376 | |
| 3 | 2014 | 367 | |
| 4 | 2013 | 245 | |
| 5 | 2015 | 241 | |
| 6 | 2020 | 153 | |
| 7 | 2017 | 107 | |
| 8 | 2018 | 105 | |
| 9 | 2011 | 85 | |
| 10 | 2014 | 76 | |
| 11 | 2014 | 75 | |
| 12 | 2018 | 62 | |
| 13 | 2021 | 62 | |
| 14 | 2018 | 42 | |
| 15 | 2022 | 35 | |
| 16 | 2019 | 29 | |
| 17 | 2018 | 26 | |
| 18 | 2017 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2019 | 18 |
About Bora Uyar
Bora Uyar is a scholar working on Aging, Molecular Biology, Cancer Research, Immunology and Biophysics, having authored 25 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (4 papers), Single-cell and spatial transcriptomics (4 papers), RNA Research and Splicing (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cancer Genomics and Diagnostics (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Aging (87 citations), Molecular Biology (2.0k citations), Cell Biology (272 citations), Cancer Research (124 citations) and Genetics (242 citations). Bora Uyar has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Toby J. Gibson, Norman E. Davey, Robert J. Weatheritt, Holger Dinkel, Aidan Budd, Kim Van Roey, Francesca Diella, Brigitte Altenberg, Altuna Akalin and Markus Seiler. Their work appears in journals such as Nucleic Acids Research, The EMBO Journal, Molecular BioSystems, Nature Communications and Trends in Biochemical Sciences.
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.