Fatma Uçar

41 papers and 739 indexed citations i.

About

Fatma Uçar is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Epidemiology. According to data from OpenAlex, Fatma Uçar has authored 41 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in Fatma Uçar’s work include Clinical Laboratory Practices and Quality Control (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Meta-analysis and systematic reviews (4 papers). Fatma Uçar is often cited by papers focused on Clinical Laboratory Practices and Quality Control (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Meta-analysis and systematic reviews (4 papers). Fatma Uçar collaborates with scholars based in Türkiye, United States and Serbia. Fatma Uçar's co-authors include Ferah Armutçu, Serpil Erdoğan, Ömer Akyol, Sümeyya Akyol, Zeynep Giniş, Sevilay Sezer, Gönül Erden, Murat Ünalacak, Ahmet Gürel and Mehmet Kanter and has published in prestigious journals such as Neuroscience Letters, Scandinavian Journal of Clinical and Laboratory Investigation and Clinical Biochemistry.

In The Last Decade

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

Fields of papers citing papers by Fatma Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fatma Uçar

Since Specialization
Citations

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