Tamer Gür
Impact in
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- Photosynthetic Processes and Mechanisms
- Endocrinology top 5%
Papers in
-
- Genomics and Phylogenetic Studies 4
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 1
- Genetics, Bioinformatics, and Biomedical Research 1
- Gene expression and cancer classification 1
-
- Emotional Intelligence and Performance 1
- Co-authors
- Young Mi Park (4 shared papers)Nicola Buso (4 shared papers)Rodrigo López (4 shared papers)ROBERT FINN (1 shared paper)Simon Potter (1 shared paper)Adrian R. Tivey (1 shared paper)Fábio Madeira (1 shared paper)Joon Lee (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (1 paper)Journal on Mathematics Education (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Tamer Gür
6 papers receiving 3.9k citations
Tamer Gür's Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.2k
- Endocrinology 153
- Infectious Diseases 413
- Biotechnology 196
- Molecular Medicine 105
Countries citing papers authored by Tamer Gür
This map shows the geographic impact of Tamer Gür'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 Tamer Gür with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamer Gür more than expected).
Fields of papers citing papers by Tamer Gür
This network shows the impact of papers produced by Tamer Gür. 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 Tamer Gür. The network helps show where Tamer Gür may publish in the future.
Co-authors
The 21 scholars most cited alongside Tamer Gür, 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 | The EMBL-EBI search and sequence analysis tools APIs in 2019 Hit paper breakdown → | 2019 | 3091 |
| 2 | The EMBL-EBI bioinformatics web and programmatic tools framework Hit paper breakdown → | 2015 | 803 |
| 3 | 2015 | 27 | |
| 4 | 2017 | 20 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 4 |
About Tamer Gür
Tamer Gür is a scholar working on Molecular Biology, Social Psychology, Ecology, Experimental and Cognitive Psychology and Education, having authored 6 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Gene expression and cancer classification (1 paper), School Choice and Performance (1 paper), Education, Achievement, and Giftedness (1 paper) and Emotional Intelligence and Performance (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Endocrinology (153 citations), Infectious Diseases (413 citations), Biotechnology (196 citations) and Molecular Medicine (105 citations). Tamer Gür has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Young Mi Park, Nicola Buso, Rodrigo López, ROBERT FINN, Simon Potter, Adrian R. Tivey, Fábio Madeira, Joon Lee, Nandana Madhusoodanan and Silvano Squizzato. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal on Mathematics Education.
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.