Günay Can

30.5k citations
248 papers · 4.9k · h-index 37

Impact in

Papers in

Günay Can

235 papers receiving 4.7k citations

Peers

Günay Can
Comparison fields: 5 of 162
  • Endocrinology, Diabetes and Metabolism 857
  • Physiology 789
  • Urology 145
  • Endocrine and Autonomic Systems 135
  • Nephrology 130
Replace Boyd E. Metzger with:
Boyd E. Metzger United States
Peter Damm Denmark
Moshe Hod Israel
Álvaro Nagib Atallah Brazil
Maria M. Brooks United States
Jerzy Chudek Poland
Patrick M. Catalano United States
Francis B. Mimouni Israel
O. Dale Williams United States
Karel Kostev Germany
Günay Can relative to Boyd E. Metzger United States Boyd E. Metzger's profile →
Citations per field
00.5×1.7×
Boyd E. Metzger · 1×
Citations per year

Countries citing papers authored by Günay Can

Since Specialization
Citations

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

Fields of papers citing papers by Günay Can

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010301
2 2008240
3 2007140
4 2006115
5 2010110
6 2011102
7 200497
8 200784
9 200683
10 200582
11 200380
12 201172
13 200470
14 200869
15 201468
16 200468
17 200566
18 200566
19 201566
20 200861

About Günay Can

Günay Can is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Surgery and Infectious Diseases, having authored 248 papers that have together received 4.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (31 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Liver Disease Diagnosis and Treatment (10 papers), Lipoproteins and Cardiovascular Health (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (8 papers), Inflammasome and immune disorders (7 papers) and Climate Change and Health Impacts (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (857 citations), Physiology (789 citations), Urology (145 citations), Endocrine and Autonomic Systems (135 citations) and Nephrology (130 citations). Günay Can has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Altan Onat, Gülay Hergenç, Hüsniye Yüksel, Hasan Kaya, Erkan Ayhan, Zekeriya Kaya, Ahmet Karabulut, Hüseyin Uyarel, Dursun Dursunoğlu and Sinan Albayrak. Their work appears in journals such as Metabolism, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Investigative Medicine, Clinica Chimica Acta and Neurourology and Urodynamics.

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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