Haluk Şavlı
Impact in
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
- Oncology 14
- Inflammatory Biomarkers in Disease Prognosis 13
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- Adipokines, Inflammation, and Metabolic Diseases 3
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Gülali Aktaş (32 shared papers)Mehmet Zahid Koçak (22 shared papers)Edip Erkuş (17 shared papers)Tuba Taslamacıoğlu Duman (18 shared papers)Burçin Meryem Atak Tel (17 shared papers)Mustafa Şit (5 shared papers)Hayri Erkol (3 shared papers)Aytekin Alçelik (7 shared papers)
In The Last Decade
Haluk Şavlı
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 78
- Oncology 394
- Nephrology 84
- Endocrinology, Diabetes and Metabolism 121
- Epidemiology 188
- Obstetrics and Gynecology 37
Countries citing papers authored by Haluk Şavlı
This map shows the geographic impact of Haluk Şavlı'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 Haluk Şavlı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haluk Şavlı more than expected).
Fields of papers citing papers by Haluk Şavlı
This network shows the impact of papers produced by Haluk Şavlı. 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 Haluk Şavlı. The network helps show where Haluk Şavlı may publish in the future.
Co-authors
The 25 scholars most cited alongside Haluk Şavlı, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 142 | |
| 2 | 2019 | 132 | |
| 3 | 2019 | 96 | |
| 4 | 2019 | 83 | |
| 5 | 2020 | 77 | |
| 6 | 2018 | 74 | |
| 7 | 2014 | 67 | |
| 8 | 2018 | 61 | |
| 9 | Could Red Cell Distribution Width be a Marker of Thyroid Cancer? | 2017 | 54 |
| 10 | 2019 | 54 | |
| 11 | 2001 | 48 | |
| 12 | Neutrophil to Lymphocyte Ratio is Useful in Differentiation of Malign and Benign Thyroid Nodules. | 2019 | 45 |
| 13 | 2019 | 42 | |
| 14 | 2012 | 38 | |
| 15 | 2012 | 37 | |
| 16 | 2019 | 28 | |
| 17 | Mean Platelet Volume and Red Cell distribution width in Hepatosteatosis | 2013 | 24 |
| 18 | 2018 | 21 | |
| 19 | Haemogram Parameters in Vitamin D Deficiency. | 2018 | 21 |
| 20 | 2018 | 16 |
About Haluk Şavlı
Haluk Şavlı is a scholar working on Oncology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Celiac Disease Research and Management (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Blood groups and transfusion (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (394 citations), Nephrology (84 citations), Endocrinology, Diabetes and Metabolism (121 citations), Epidemiology (188 citations) and Obstetrics and Gynecology (37 citations). Haluk Şavlı has collaborated with scholars based in Türkiye and France. Frequent co-authors include Gülali Aktaş, Mehmet Zahid Koçak, Edip Erkuş, Tuba Taslamacıoğlu Duman, Burçin Meryem Atak Tel, Mustafa Şit, Hayri Erkol, Aytekin Alçelik, Oğuz Dikbaş and Özgür Mehmet Yis. Their work appears in journals such as The Aging Male, The European Journal of Surgery, Kidney & Blood Pressure Research, Swiss Medical Weekly and European Journal of Clinical Investigation.
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.