Hakime Öztürk
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Artificial Intelligence top 10%
- Pharmacology top 10%
- Co-authors
- Arzucan ÖzgürElif ÖzkırımlıTeodoro LainoPhilippe SchwallerBala Gür DedeoğluJulien GagneurOliver StegleZhifen Chen
- Topics
- Computational Drug Discovery Methods (7 papers)Machine Learning in Bioinformatics (3 papers)Protein Structure and Dynamics (3 papers)
- Partner nations
- TürkiyeSwitzerlandGermany
In The Last Decade
Hakime Öztürk
10 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.1k
- Computational Theory and Mathematics 1.0k
- Materials Chemistry 404
- Artificial Intelligence 146
- Pharmacology 99
Countries citing papers authored by Hakime Öztürk
This map shows the geographic impact of Hakime Öztürk'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 Hakime Öztürk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakime Öztürk more than expected).
Fields of papers citing papers by Hakime Öztürk
This network shows the impact of papers produced by Hakime Öztürk. 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 Hakime Öztürk. The network helps show where Hakime Öztürk may publish in the future.
Co-authorship network of co-authors of Hakime Öztürk
This figure shows the co-authorship network connecting the top 25 collaborators of Hakime Öztürk. A scholar is included among the top collaborators of Hakime Öztürk 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 Hakime Öztürk. Hakime Öztürk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 99 | |
| 3 | 16 | |
| 4 | A chemical language based approach for protein - ligand interaction prediction. | 2 |
| 5 | 34 | |
| 6 | DeepDTA: deep drug–target binding affinity predictionbreakdown → | 962 |
| 7 | 28 | |
| 8 | 97 | |
| 9 | 100 | |
| 10 | 47 |
About Hakime Öztürk
Hakime Öztürk is a scholar working on Computational Theory and Mathematics, Molecular Medicine and Pharmacology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Molecular Biology (1.1k citations) and Health Informatics (13 citations). Hakime Öztürk has collaborated with scholars based in Türkiye, Switzerland and Germany. Frequent co-authors include Arzucan Özgür, Elif Özkırımlı, Teodoro Laino, Philippe Schwaller, Bala Gür Dedeoğlu, Elif Özkırımlı, Julien Gagneur, Oliver Stegle and Zhifen Chen. Their work appears in journals such as Nature Genetics, Bioinformatics and PLoS ONE.
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.