Fatma Tokat

40 papers and 333 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 40 papers receiving a total of 333 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 10 papers in Oncology. Recurrent topics in Fatma Tokat’s work include Breast Lesions and Carcinomas (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Fatma Tokat is often cited by papers focused on Breast Lesions and Carcinomas (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Fatma Tokat collaborates with scholars based in Türkiye, Sweden and United States. Fatma Tokat's co-authors include Ümit İnce, Mustafa Sofikerim, Özlem Canöz, Figen Öztürk, Mustafa Başbuğ, Mahmut Tuncay Özgün, Turgut Aydın, Mert Ali Karadağ, Sevim Baykal Koca and Kemal Behzatoğlu and has published in prestigious journals such as Scientific Reports, Human Pathology and Urology.

In The Last Decade

Co-authorship network of co-authors of Fatma Tokat i

Fields of papers citing papers by Fatma Tokat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Tokat. 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 Fatma Tokat. 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 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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2025