Tamer Gür

5.8k total citations · 2 hit papers
6 papers, 3.9k citations indexed

About

Tamer Gür is a scholar working on Molecular Biology, Social Psychology and Ecology. According to data from OpenAlex, Tamer Gür has authored 6 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Social Psychology and 1 paper in Ecology. Recurrent topics in Tamer Gür's work include Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Gene expression and cancer classification (1 paper). Tamer Gür is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Gene expression and cancer classification (1 paper). Tamer Gür collaborates with scholars based in United Kingdom, Switzerland and Kazakhstan. Tamer Gür's co-authors include Nicola Buso, Rodrigo López, Young Mi Park, Adrian R. Tivey, ROBERT FINN, Joon Lee, Fábio Madeira, Simon Potter, Nandana Madhusoodanan and Silvano Squizzato and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal on Mathematics Education.

In The Last Decade

Tamer Gür

6 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The EMBL-EBI search and sequence analysis tools APIs in 2019

2019 3.1k citations Fábio Madeira, Young Mi Park et al. Nucleic Acids Research profile →
The EMBL-EBI bioinformatics web and programmatic tools framework

2015 791 citations Weizhong Li, Mahmut Uludağ et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tamer Gür United Kingdom	5	2.3k	743	442	438	419	6	3.9k
Joon Lee South Korea	7	2.4k 1.0×	697 0.9×	449 1.0×	433 1.0×	411 1.0×	14	4.0k
Silvano Squizzato United Kingdom	8	2.2k 1.0×	565 0.8×	381 0.9×	288 0.7×	472 1.1×	8	3.6k
Nandana Madhusoodanan United Kingdom	5	3.0k 1.3×	898 1.2×	545 1.2×	546 1.2×	583 1.4×	5	5.0k
Fábio Madeira United Kingdom	9	3.2k 1.4×	916 1.2×	573 1.3×	552 1.3×	600 1.4×	14	5.4k
Nicola Buso United Kingdom	5	3.1k 1.3×	944 1.3×	582 1.3×	558 1.3×	594 1.4×	5	5.2k
Christian J A Sigrist Switzerland	12	3.3k 1.4×	977 1.3×	317 0.7×	346 0.8×	408 1.0×	15	4.8k
Yoshitaka Moriwaki Japan	13	3.7k 1.6×	649 0.9×	494 1.1×	334 0.8×	615 1.5×	32	5.5k
Konstantin Schütze Germany	6	3.5k 1.5×	536 0.7×	485 1.1×	300 0.7×	590 1.4×	9	5.1k
Laurent Falquet Switzerland	27	2.7k 1.2×	1.2k 1.6×	330 0.7×	242 0.6×	430 1.0×	79	4.6k
Marius van den Beek France	12	2.6k 1.1×	664 0.9×	559 1.3×	314 0.7×	469 1.1×	21	4.2k

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-authorship network of co-authors of Tamer Gür

This figure shows the co-authorship network connecting the top 25 collaborators of Tamer Gür. A scholar is included among the top collaborators of Tamer Gür based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamer Gür. Tamer Gür is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Nimwegen, Erik van, Ivan U. Kouzel, Tamer Gür, et al.. (2024). MAPP unravels frequent co-regulation of splicing and polyadenylation by RNA-binding proteins and their dysregulation in cancer. Nature Communications. 15(1). 4110–4110. 6 indexed citations

2.

Gür, Tamer, et al.. (2023). Mathematics achievement emotions of high school students in Kazakhstan. Journal on Mathematics Education. 14(3). 525–544. 2 indexed citations

3.

Madeira, Fábio, Young Mi Park, Joon Lee, et al.. (2019). The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucleic Acids Research. 47(W1). W636–W641. 3055 indexed citations breakdown →

4.

Park, Young Mi, Silvano Squizzato, Nicola Buso, Tamer Gür, & Rodrigo López. (2017). The EBI search engine: EBI search as a service—making biological data accessible for all. Nucleic Acids Research. 45(W1). W545–W549. 20 indexed citations

5.

Squizzato, Silvano, Young Mi Park, Nicola Buso, et al.. (2015). The EBI Search engine: providing search and retrieval functionality for biological data from EMBL-EBI. Nucleic Acids Research. 43(W1). W585–W588. 27 indexed citations

6.

Li, Weizhong, Mahmut Uludağ, Tamer Gür, et al.. (2015). The EMBL-EBI bioinformatics web and programmatic tools framework. Nucleic Acids Research. 43(W1). W580–W584. 791 indexed citations breakdown →

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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