Tamer Gür

5.8k citations
6 papers · 3.9k · 2 hit papers · h-index 5

Impact in

    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Genomics and Phylogenetic Studies 4
    • Biomedical Text Mining and Ontologies 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Bioinformatics and Genomic Networks 1
    • RNA Research and Splicing 1
    • Emotional Intelligence and Performance 1

Tamer Gür

6 papers receiving 3.9k citations

Tamer Gür's Hit Papers

The EMBL-EBI search and sequence analysis tools APIs in 2019 2019 · 3.1k citations
3.1k0+3+7Years since publication10002.0k3.0k

Peers

Tamer Gür
Comparison fields: 5 of 143
  • Molecular Biology 2.3k
  • Endocrinology 156
  • Infectious Diseases 438
  • Biotechnology 204
  • Aging 39
Replace Joon Lee with:
Joon Lee South Korea
Nandana Madhusoodanan United Kingdom
Fábio Madeira United Kingdom
Nicola Buso United Kingdom
Yoshitaka Moriwaki Japan
Konstantin Schütze Germany
Silvano Squizzato United Kingdom
Haim Ashkenazy Israel
François Chevenet France
Laurent Falquet Switzerland
Tamer Gür relative to Joon Lee South Korea Joon Lee's profile →
Citations per field
00.5×10×15×20.6×
Joon Lee · 1×
Citations per year

Countries citing papers authored by Tamer Gür

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

6 of 6 papers shown
#Work
1
The EMBL-EBI search and sequence analysis tools APIs in 2019
Hit paper breakdown →
20193055
2
The EMBL-EBI bioinformatics web and programmatic tools framework
Hit paper breakdown →
2015791
3 201527
4 201720
5 20246
6 20232

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 3.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Bioinformatics and Genomic Networks (1 paper), Emotional Intelligence and Performance (1 paper), Education, Achievement, and Giftedness (1 paper), RNA Research and Splicing (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Molecular Biology (2.3k citations), Endocrinology (156 citations), Infectious Diseases (438 citations), Biotechnology (204 citations) and Aging (39 citations). Tamer Gür has collaborated with scholars based in United Kingdom, Switzerland and Kazakhstan. Frequent co-authors include Rodrigo López, Nicola Buso, Young Mi Park, Joon Lee, Adrian R. Tivey, ROBERT FINN, Simon Potter, Nandana Madhusoodanan, Fábio Madeira 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.

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