Tolga Can

40 papers and 618 indexed citations i.

About

Tolga Can is a scholar working on Molecular Biology, Cancer Research and Artificial Intelligence. According to data from OpenAlex, Tolga Can has authored 40 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Artificial Intelligence. Recurrent topics in Tolga Can’s work include Bioinformatics and Genomic Networks (16 papers), RNA Research and Splicing (9 papers) and Machine Learning in Bioinformatics (8 papers). Tolga Can is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), RNA Research and Splicing (9 papers) and Machine Learning in Bioinformatics (8 papers). Tolga Can collaborates with scholars based in Türkiye, United States and Norway. Tolga Can's co-authors include Ayse Elif Erson‐Bensan, Ambuj K. Singh, Yuan-Fang Wang, Mesut Muyan and Rengül Çetin-Atalay and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Tolga Can

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 Tolga Can. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Tolga Can may publish in the future.

Countries citing papers authored by Tolga Can

Since Specialization
Citations

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

Rankless by CCL
2025