Fatma Uçar
Impact in
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- Diet, Metabolism, and Disease
- Thyroid Disorders and Treatments
- Hepatology top 10%
Papers in
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- Liver Disease Diagnosis and Treatment 4
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- Clinical Laboratory Practices and Quality Control 5
- Co-authors
- Ferah Armutçu (5 shared papers)Serpil Erdoğan (6 shared papers)Sümeyya Akyol (5 shared papers)Ömer Akyol (3 shared papers)Zeynep Giniş (12 shared papers)Sevilay Sezer (5 shared papers)Gönül Erden (13 shared papers)Murat Can (1 shared paper)
- Journals
- Clinical Biochemistry (3 papers)Redox Report (2 papers)Ophthalmic Research (1 paper)Renal Failure (1 paper)Advances in clinical chemistry (1 paper)
- Partner nations
- TürkiyeUnited StatesSerbia
In The Last Decade
Fatma Uçar
43 papers receiving 811 citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 150
- Hepatology 65
- Epidemiology 236
- Ophthalmology 42
- Pharmacology 37
Countries citing papers authored by Fatma Uçar
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).
Fields of papers citing papers by Fatma Uçar
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.
Co-authors
The 25 scholars most cited alongside Fatma Uçar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 114 | |
| 2 | 2005 | 84 | |
| 3 | 2013 | 77 | |
| 4 | 2012 | 76 | |
| 5 | 2014 | 72 | |
| 6 | 2013 | 42 | |
| 7 | 2013 | 37 | |
| 8 | 2008 | 30 | |
| 9 | Genomic damage in patients with type-2 diabetes mellitus. | 2013 | 26 |
| 10 | 2013 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2012 | 18 | |
| 13 | 2013 | 17 | |
| 14 | 2013 | 15 | |
| 15 | 2016 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2013 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2008 | 13 | |
| 20 | 2017 | 12 |
About Fatma Uçar
Fatma Uçar is a scholar working on Epidemiology, Physiology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 46 papers that have together received 842 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Vitamin D Research Studies (4 papers), Thyroid Disorders and Treatments (3 papers), Meta-analysis and systematic reviews (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Diet, Metabolism, and Disease (2 papers) and Poisoning and overdose treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (150 citations), Hepatology (65 citations), Epidemiology (236 citations), Ophthalmology (42 citations) and Pharmacology (37 citations). Fatma Uçar has collaborated with scholars based in Türkiye, United States and Serbia. Frequent co-authors include Ferah Armutçu, Serpil Erdoğan, Sümeyya Akyol, Ömer Akyol, Zeynep Giniş, Sevilay Sezer, Gönül Erden, Murat Can, Ahmet Gürel and Murat Ünalacak. Their work appears in journals such as Clinical Biochemistry, Redox Report, Ophthalmic Research, Renal Failure and Advances in clinical chemistry.
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.