Kürşat Dal

33 papers receiving 484 citations

Peers

Kürşat Dal
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 66
  • Oncology 107
  • Infectious Diseases 74
  • Epidemiology 101
  • Cardiology and Cardiovascular Medicine 59
Replace Mustafa Şit with:
Mustafa Şit Türkiye
Yuming Li China
Sedat Caner Türkiye
Ilan Feldhamer Israel
Ivana Ćelap Croatia
Consuelo Fernández‐Miranda Spain
Waseem Amjad United States
Burkhard Rodeck Germany
Varsha Asrani New Zealand
Kürşat Dal relative to Mustafa Şit Türkiye Mustafa Şit's profile →
Citations per field
00.5×1.5×1.9×
Mustafa Şit · 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 202085
2
High-sensitivity C-reactive protein is a strong predictor of non-alcoholic fatty liver disease.
201450
3 201138
4 201232
5 202024
6 202024
7 201423
8 201918
9 201018
10 201417
11 201417
12
Helicobacter pylori and cardiovascular disease.
201517
13 201616
14 202115
15 201714
16 201313
17 20109
18 20157
19 20217
20 20115

About Kürşat Dal

Kürşat Dal is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 33 papers that have together received 490 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Thyroid Disorders and Treatments (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (66 citations), Oncology (107 citations), Infectious Diseases (74 citations), Epidemiology (101 citations) and Cardiology and Cardiovascular Medicine (59 citations). Kürşat Dal has collaborated with scholars based in Türkiye, Cambodia and United Kingdom. Frequent co-authors include Naim Ata, Derun Taner Ertuğrul, Metin Küçükazman, Esìn Beyan, Abdullah Özgür Yeniova, Bünyamin Yavuz, Kadir Okhan Akın, Yaşar Nazlıgül, Kadir Ağladıoğlu and Osman Çelik. Their work appears in journals such as Endocrine Research, European Journal of Gastroenterology & Hepatology, International Journal of Clinical Practice, Bone Marrow Transplantation and BioMed Research International.

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.

Explore authors with similar magnitude of impact