Fatma Tokat

39 papers and 319 indexed citations i.

About

Fatma Tokat is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Fatma Tokat has authored 39 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 9 papers in Oncology. Recurrent topics in Fatma Tokat’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Fatma Tokat is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Fatma Tokat collaborates with scholars based in Türkiye, United States and United Kingdom. Fatma Tokat's co-authors include Ümit İnce, Mustafa Sofikerim, Engin Sezer, Taner Korkmaz and Şule Canberk and has published in prestigious journals such as Scientific Reports, Human Pathology and Urology.

In The Last Decade

Fields of papers citing papers by Fatma Tokat

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

Countries citing papers authored by Fatma Tokat

Since Specialization
Citations

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

Rankless by CCL
2025