Beste Turanlı

1.1k total citations
33 papers, 737 citations indexed

About

Beste Turanlı is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Beste Turanlı has authored 33 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Beste Turanlı's work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (10 papers) and Ferroptosis and cancer prognosis (5 papers). Beste Turanlı is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (10 papers) and Ferroptosis and cancer prognosis (5 papers). Beste Turanlı collaborates with scholars based in Türkiye, Sweden and United States. Beste Turanlı's co-authors include Kazım Yalçın Arğa, Gizem Gülfidan, Adil Mardinoğlu, Mathias Uhlén, Raghu Sinha, Tania Islam, Esra Göv, Jens Nielsen, Jan Borén and Md Rezanur Rahman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Archives of Biochemistry and Biophysics.

In The Last Decade

Beste Turanlı

32 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beste Turanlı Türkiye 16 500 141 138 133 107 33 737
Esra Göv Türkiye 14 536 1.1× 175 1.2× 138 1.0× 108 0.8× 83 0.8× 38 790
Anders Riutta United States 4 583 1.2× 133 0.9× 79 0.6× 78 0.6× 73 0.7× 6 842
Laleh Soltan Ghoraie Canada 9 424 0.8× 74 0.5× 103 0.7× 208 1.6× 83 0.8× 15 662
Sharon L. Freshour United States 2 339 0.7× 103 0.7× 120 0.9× 82 0.6× 60 0.6× 3 585
Jonathan J Song United States 2 336 0.7× 103 0.7× 121 0.9× 82 0.6× 58 0.5× 6 583
Daniela Digles Austria 6 404 0.8× 91 0.6× 56 0.4× 128 1.0× 76 0.7× 13 618
Sukjoon Yoon South Korea 21 702 1.4× 219 1.6× 98 0.7× 123 0.9× 155 1.4× 54 974
Ruling Shen China 11 431 0.9× 142 1.0× 122 0.9× 86 0.6× 51 0.5× 29 666
Aparna Gorthi United States 13 548 1.1× 129 0.9× 99 0.7× 96 0.7× 147 1.4× 23 754

Countries citing papers authored by Beste Turanlı

Since Specialization
Citations

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

Fields of papers citing papers by Beste Turanlı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beste Turanlı

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

All Works

20 of 20 papers shown
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Turanlı, Beste, et al.. (2023). DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder. Interdisciplinary Sciences Computational Life Sciences. 16(1). 91–103. 4 indexed citations
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Turanlı, Beste. (2023). Decoding Systems Biology of Inflammation Signatures in Cancer Pathogenesis: Pan-Cancer Insights from 12 Common Cancers. OMICS A Journal of Integrative Biology. 27(10). 483–493. 2 indexed citations
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Kori, Medi, et al.. (2022). Prospects of integrated multi-omics-driven biomarkers for efficient hair loss therapy from systems biology perspective. Gene Reports. 28. 101657–101657. 2 indexed citations
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Kori, Medi, et al.. (2022). Acute Myeloid Leukemia: New Multiomics Molecular Signatures and Implications for Systems Medicine Diagnostics and Therapeutics Innovation. OMICS A Journal of Integrative Biology. 26(7). 392–403. 5 indexed citations
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Aydın, Büşra, Kazım Yalçın Arğa, Betül Karademir, et al.. (2022). Past, Present, and Future of Therapies for Pituitary Neuroendocrine Tumors: Need for Omics and Drug Repositioning Guidance. OMICS A Journal of Integrative Biology. 26(3). 115–129. 2 indexed citations
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Kori, Medi, Kazım Yalçın Arğa, Adil Mardinoğlu, & Beste Turanlı. (2022). Repositioning of Anti-Inflammatory Drugs for the Treatment of Cervical Cancer Sub-Types. Frontiers in Pharmacology. 13. 884548–884548. 17 indexed citations
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Gülfidan, Gizem, et al.. (2021). Differential Protein Interactome in Esophageal Squamous Cell Carcinoma Offers Novel Systems Biomarker Candidates with High Diagnostic and Prognostic Performance. OMICS A Journal of Integrative Biology. 25(8). 495–512. 2 indexed citations
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Li, Xiangyü, Beste Turanlı, Kajetan Juszczak, et al.. (2020). Classification of clear cell renal cell carcinoma based on PKM alternative splicing. Heliyon. 6(2). e03440–e03440. 9 indexed citations
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Gülfidan, Gizem, et al.. (2020). Drug Repositioning for P-Glycoprotein Mediated Co-Expression Networks in Colorectal Cancer. Frontiers in Oncology. 10. 1273–1273. 16 indexed citations
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Gülfidan, Gizem, et al.. (2020). Pan-cancer mapping of differential protein-protein interactions. Scientific Reports. 10(1). 3272–3272. 32 indexed citations
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Rahman, Md Rezanur, Tania Islam, Esra Göv, et al.. (2019). Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis. Medicina. 55(1). 20–20. 51 indexed citations
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Turanlı, Beste, Cheng Zhang, Woonghee Kim, et al.. (2019). Discovery of therapeutic agents for prostate cancer using genome-scale metabolic modeling and drug repositioning. EBioMedicine. 42. 386–396. 64 indexed citations
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Turanlı, Beste, Kübra Karagoz, Gizem Gülfidan, et al.. (2019). A Network-Based Cancer Drug Discovery: From Integrated Multi-Omics Approaches to Precision Medicine. Current Pharmaceutical Design. 24(32). 3778–3790. 52 indexed citations
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Rahman, Md Rezanur, Tania Islam, Beste Turanlı, et al.. (2018). Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer’s disease. Computational Biology and Chemistry. 78. 431–439. 90 indexed citations
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Turanlı, Beste, Gizem Gülfidan, & Kazım Yalçın Arğa. (2017). Transcriptomic-Guided Drug Repositioning Supported by a New Bioinformatics Search Tool: geneXpharma. OMICS A Journal of Integrative Biology. 21(10). 584–591. 23 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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