Elif Özkırımlı

2.1k total citations · 1 hit paper
5 papers, 1.2k citations indexed

About

Elif Özkırımlı is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Elif Özkırımlı has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 3 papers in Molecular Biology and 1 paper in Pharmacology. Recurrent topics in Elif Özkırımlı's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (2 papers). Elif Özkırımlı is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (2 papers). Elif Özkırımlı collaborates with scholars based in Türkiye and Switzerland. Elif Özkırımlı's co-authors include Arzucan Özgür, Hakime Öztürk, Philippe Schwaller and Teodoro Laino and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Elif Özkırımlı

5 papers receiving 1.2k citations

Hit Papers

DeepDTA: deep drug–target binding affinity prediction 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elif Özkırımlı Türkiye 5 1.0k 988 393 97 55 5 1.2k
Hakime Öztürk Türkiye 8 1.0k 1.0× 1.1k 1.1× 404 1.0× 99 1.0× 146 2.7× 10 1.4k
Fangping Wan United States 13 523 0.5× 847 0.9× 162 0.4× 49 0.5× 87 1.6× 18 1.1k
Florian Flachsenberg Germany 12 541 0.5× 662 0.7× 293 0.7× 111 1.1× 35 0.6× 20 1.1k
Tunca Doğan Türkiye 13 615 0.6× 859 0.9× 220 0.6× 65 0.7× 59 1.1× 28 1.2k
Anh‐Tien Ton Canada 12 802 0.8× 614 0.6× 210 0.5× 69 0.7× 40 0.7× 13 1.2k
Jocelyn Sunseri United States 7 629 0.6× 637 0.6× 240 0.6× 87 0.9× 21 0.4× 8 996
Rishal Aggarwal India 6 498 0.5× 505 0.5× 274 0.7× 58 0.6× 46 0.8× 6 799
John W. Mayfield United States 3 581 0.6× 542 0.5× 207 0.5× 102 1.1× 24 0.4× 3 936
Lora Mak United Kingdom 5 836 0.8× 829 0.8× 222 0.6× 179 1.8× 23 0.4× 6 1.2k
Eva Nittinger Sweden 13 428 0.4× 543 0.5× 263 0.7× 65 0.7× 19 0.3× 28 901

Countries citing papers authored by Elif Özkırımlı

Since Specialization
Citations

This map shows the geographic impact of Elif Özkırımlı'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 Elif Özkırımlı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elif Özkırımlı more than expected).

Fields of papers citing papers by Elif Özkırımlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elif Özkırımlı. 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 Elif Özkırımlı. The network helps show where Elif Özkırımlı may publish in the future.

Co-authorship network of co-authors of Elif Özkırımlı

This figure shows the co-authorship network connecting the top 25 collaborators of Elif Özkırımlı. A scholar is included among the top collaborators of Elif Özkırımlı 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 Elif Özkırımlı. Elif Özkırımlı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Öztürk, Hakime, Arzucan Özgür, Philippe Schwaller, Teodoro Laino, & Elif Özkırımlı. (2020). Exploring chemical space using natural language processing methodologies for drug discovery. Drug Discovery Today. 25(4). 689–705. 99 indexed citations
2.
Öztürk, Hakime, Elif Özkırımlı, & Arzucan Özgür. (2018). A novel methodology on distributed representations of proteins using their interacting ligands. Bioinformatics. 34(13). i295–i303. 34 indexed citations
3.
Öztürk, Hakime, Arzucan Özgür, & Elif Özkırımlı. (2018). DeepDTA: deep drug–target binding affinity prediction. Bioinformatics. 34(17). i821–i829. 962 indexed citations breakdown →
4.
Öztürk, Hakime, Elif Özkırımlı, & Arzucan Özgür. (2016). A comparative study of SMILES-based compound similarity functions for drug-target interaction prediction. BMC Bioinformatics. 17(1). 128–128. 100 indexed citations
5.
Öztürk, Hakime, Elif Özkırımlı, & Arzucan Özgür. (2015). Classification of Beta-Lactamases and Penicillin Binding Proteins Using Ligand-Centric Network Models. PLoS ONE. 10(2). e0117874–e0117874. 47 indexed citations

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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