Tuğba Önal-Süzek

20 papers and 2.0k indexed citations i.

About

Tuğba Önal-Süzek is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Tuğba Önal-Süzek has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Tuğba Önal-Süzek’s work include Computational Drug Discovery Methods (5 papers), RNA modifications and cancer (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Tuğba Önal-Süzek is often cited by papers focused on Computational Drug Discovery Methods (5 papers), RNA modifications and cancer (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Tuğba Önal-Süzek collaborates with scholars based in Türkiye, United States and China. Tuğba Önal-Süzek's co-authors include Jian Zhang, Stephen H. Bryant, Jiguang Wang, J. Xiao, Y. Wang, Benjamin A. Shoemaker, Asta Gindulytė, Evan Bolton, K. V. Karapetyan and Jiyao Wang and has published in prestigious journals such as Nucleic Acids Research, Blood and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Tuğba Önal-Süzek i

Fields of papers citing papers by Tuğba Önal-Süzek

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Tuğba Önal-Süzek. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tuğba Önal-Süzek may publish in the future.

Countries citing papers authored by Tuğba Önal-Süzek

Since Specialization
Citations

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

Rankless by CCL
2025