Ümmügülsüm Can

31 papers receiving 409 citations

Peers

Ümmügülsüm Can
Comparison fields: 5 of 78
  • Cancer Research 66
  • Endocrine and Autonomic Systems 21
  • Endocrinology, Diabetes and Metabolism 51
  • Physiology 66
  • Clinical Biochemistry 15
Replace Sarah L. Prior with:
Sarah L. Prior United Kingdom
Takayoshi Sasako Japan
Gülcan Güntaş Türkiye
Zhijian Yang China
P. Garrido Portugal
Flavien Berthou Switzerland
Joanna Góralska Poland
Jae-Ryong Kim South Korea
Yifan He China
Linyan Lv China
Ümmügülsüm Can relative to Sarah L. Prior United Kingdom Sarah L. Prior's profile →
Citations per field
00.5×1.7×
Sarah L. Prior · 1×
Citations per year

Countries citing papers authored by Ümmügülsüm Can

Since Specialization
Citations

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

Fields of papers citing papers by Ümmügülsüm Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ümmügülsüm Can, 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 Ümmügülsüm Can Line = papers co-authored together Ümmügülsüm Can links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201571
2 201461
3 201539
4 201833
5 201326
6 201725
7 199723
8 201420
9
Evaluation of oxidant/anti-oxidants status in patients with mild acute -pancreatitis.
201615
10 201613
11 201413
12 201512
13 201510
14 20176
15 20176
16 20226
17 20176
18 20226
19 20086
20 20225

About Ümmügülsüm Can

Ümmügülsüm Can is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Psychiatry and Mental health, having authored 37 papers that have together received 416 indexed citations. Recurring topics across this work include Vitamin D Research Studies (4 papers), S100 Proteins and Annexins (3 papers), Thyroid Disorders and Treatments (3 papers), Ovarian function and disorders (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (2 papers), Analytical Chemistry and Sensors (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Cancer Research (66 citations), Endocrine and Autonomic Systems (21 citations), Endocrinology, Diabetes and Metabolism (51 citations), Physiology (66 citations) and Clinical Biochemistry (15 citations). Ümmügülsüm Can has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Fatma Hümeyra Yerlikaya, Muammer Büyükinan, Şebnem Yosunkaya, Asuman Güzelant, Hüsniye Başer, Özgür Pirgon, Suna Tımur, Hüseyin Bekir Yıldız, Emine Guler and Kadri Murat Gürses. Their work appears in journals such as Journal of Investigative Medicine, Medicine, Metabolic Syndrome and Related Disorders, Pediatric Obesity and International Journal of Developmental Neuroscience.

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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