Fatma Uçar

1.0k citations
46 papers · 819 · h-index 15

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 3
    • Thyroid Disorders and Treatments 3
    • Diet, Metabolism, and Disease 3
    • Diabetes Management and Research 2
    • Clinical Laboratory Practices and Quality Control 6

Fatma Uçar

43 papers receiving 787 citations

Peers

Fatma Uçar
Comparison fields: 5 of 107
  • Hepatology 100
  • Endocrinology, Diabetes and Metabolism 184
  • Epidemiology 303
  • Ophthalmology 70
  • Clinical Biochemistry 36
Replace Aleksandra Klisić with:
Aleksandra Klisić Montenegro
Anna Coracina Italy
Teoman Doğru Türkiye
Jianqiu Gu China
Yung‐Chien Hsu Taiwan
Seok Man Son South Korea
Xiaohong Yang United States
Derya Koçer Türkiye
Anca Ouatu Romania
Akira Mima Japan
Fatma Uçar relative to Aleksandra Klisić Montenegro Aleksandra Klisić's profile →
Citations per field
00.5×10×14.4×
Aleksandra Klisić · 1×
Citations per year

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).

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.

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.

Border = papers with Fatma Uçar Line = papers co-authored together Fatma Uçar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 200581
3 201376
4 201275
5 201469
6 201341
7 201337
8 200830
9
Genomic damage in patients with type-2 diabetes mellitus.
201325
10 201323
11 201321
12 201317
13 201616
14 201216
15 201315
16 201314
17 201313
18 200813
19 201712
20 201511

About Fatma Uçar

Fatma Uçar is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pathology and Forensic Medicine, Epidemiology and Molecular Biology, having authored 46 papers that have together received 819 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (6 papers), Meta-analysis and systematic reviews (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Vitamin D Research Studies (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Thyroid Disorders and Treatments (3 papers), Diet, Metabolism, and Disease (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Hepatology (100 citations), Endocrinology, Diabetes and Metabolism (184 citations), Epidemiology (303 citations), Ophthalmology (70 citations) and Clinical Biochemistry (36 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, Mehmet Kanter and Ömer Çoşkun. Their work appears in journals such as Clinical Biochemistry, Redox Report, World Neurosurgery, Renal Failure and Graefe s Archive for Clinical and Experimental Ophthalmology.

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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