Kürşat Dal

33 papers receiving 477 citations

Peers

Kürşat Dal
Comparison fields: 5 of 76
  • Infectious Diseases 112
  • Endocrinology, Diabetes and Metabolism 99
  • Oncology 128
  • Epidemiology 139
  • Cardiology and Cardiovascular Medicine 84
Replace Gizem Kahveci with:
Gizem Kahveci Türkiye
Gabriel Munter Israel
Andra‐Iulia Suceveanu Romania
Sedat Caner Türkiye
Özlem Harmankaya Türkiye
Ilan Feldhamer Israel
Erdal Göçmen Türkiye
Thomas Vanhove Belgium
Phuong-Thu Pham United States
Kürşat Dal relative to Gizem Kahveci Türkiye Gizem Kahveci's profile →
Citations per field
00.5×4.6×
Gizem Kahveci · 1×
Citations per year

Countries citing papers authored by Kürşat Dal

Since Specialization
Citations

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

Fields of papers citing papers by Kürşat Dal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202084
2
High-sensitivity C-reactive protein is a strong predictor of non-alcoholic fatty liver disease.
201450
3 201138
4 201231
5 202024
6 202024
7 201423
8 201918
9 201018
10
Helicobacter pylori and cardiovascular disease.
201517
11 201616
12 201416
13 201415
14 202114
15 201714
16 201313
17 20109
18 20217
19 20157
20 20115

About Kürşat Dal

Kürşat Dal is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 33 papers that have together received 483 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Thyroid Disorders and Treatments (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and healthcare impacts (4 papers), Pancreatitis Pathology and Treatment (3 papers), Vitamin D Research Studies (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Infectious Diseases (112 citations), Endocrinology, Diabetes and Metabolism (99 citations), Oncology (128 citations), Epidemiology (139 citations) and Cardiology and Cardiovascular Medicine (84 citations). Kürşat Dal has collaborated with scholars based in Türkiye, Cambodia and Antigua and Barbuda. Frequent co-authors include Naim Ata, Derun Taner Ertuğrul, Metin Küçükazman, Esìn Beyan, Bünyamin Yavuz, Abdullah Özgür Yeniova, Kadir Okhan Akın, Yaşar Nazlıgül, Kadir Ağladıoğlu and Onur Sinan Deveci. Their work appears in journals such as Endocrine Research, European Journal of Gastroenterology & Hepatology, Journal of Medical Virology, Journal of Thrombosis and Thrombolysis and Internal and Emergency Medicine.

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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