Mustafa Şit

22 papers receiving 670 citations

Peers

Mustafa Şit
Comparison fields: 5 of 76
  • Oncology 291
  • Nephrology 32
  • Endocrinology, Diabetes and Metabolism 60
  • Obstetrics and Gynecology 22
  • Epidemiology 78
Replace Edip Erkuş with:
Edip Erkuş Türkiye
Muhammad Salman Akhtar United States
Zeenat Ayoob Pakistan
Hikmet Tekçe Türkiye
Hakkı Çetinkaya Türkiye
Adnan Taş Türkiye
Yasemin Budak Türkiye
Sedat Caner Türkiye
Süleyman Baldane Türkiye
Kürşat Dal Türkiye
Mustafa Şit relative to Edip Erkuş Türkiye Edip Erkuş's profile →
Citations per field
00.5×5.5×
Edip Erkuş · 1×
Citations per year

Countries citing papers authored by Mustafa Şit

Since Specialization
Citations

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

Fields of papers citing papers by Mustafa Şit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017142
2 201494
3 201874
4 201467
5
Could Red Cell Distribution Width be a Marker of Thyroid Cancer?
201754
6
Neutrophil to Lymphocyte Ratio is Useful in Differentiation of Malign and Benign Thyroid Nodules.
201945
7 201345
8 201439
9 201435
10 201321
11 201213
12 202113
13 20157
14 20147
15 20146
16 20136
17 20235
18 20195
19 20133
20 20152

About Mustafa Şit

Mustafa Şit is a scholar working on Oncology, Surgery, Epidemiology, Nephrology and Infectious Diseases, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (9 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Colorectal Cancer Surgical Treatments (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Parasitic Infections and Diagnostics (1 paper). The work is most often cited by research in Oncology (291 citations), Nephrology (32 citations), Endocrinology, Diabetes and Metabolism (60 citations), Obstetrics and Gynecology (22 citations) and Epidemiology (78 citations). Mustafa Şit has collaborated with scholars based in Türkiye and Cyprus. Frequent co-authors include Gülali Aktaş, Haluk Şavlı, Buket Kın Tekçe, Hikmet Tekçe, Edip Erkuş, Hayri Erkol, Oğuz Dikbaş, Aytekin Alçelik, Mehmet Zahid Koçak and Tuba Taslamacıoğlu Duman. Their work appears in journals such as Clinical and investigative medicine, Experimental and Clinical Endocrinology & Diabetes, Clinical Transplantation, The American Surgeon and Gastroenterology Review.

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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