Edip Erkuş
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis
Papers in
- Oncology 9
- Inflammatory Biomarkers in Disease Prognosis 9
-
- Dialysis and Renal Disease Management 5
- Gout, Hyperuricemia, Uric Acid 2
- Co-authors
- Gülali Aktaş (20 shared papers)Mehmet Zahid Koçak (21 shared papers)Haluk Şavlı (17 shared papers)Tuba Taslamacıoğlu Duman (16 shared papers)Burçin Meryem Atak Tel (14 shared papers)Mustafa Şit (3 shared papers)Hayri Erkol (2 shared papers)İsa Sıncer (1 shared paper)
In The Last Decade
Edip Erkuş
28 papers receiving 921 citations
Peers
Comparison fields: 5 of 64
- Nephrology 132
- Oncology 259
- Endocrinology, Diabetes and Metabolism 107
- Epidemiology 147
- Obstetrics and Gynecology 30
Countries citing papers authored by Edip Erkuş
This map shows the geographic impact of Edip Erkuş'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 Edip Erkuş with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edip Erkuş more than expected).
Fields of papers citing papers by Edip Erkuş
This network shows the impact of papers produced by Edip Erkuş. 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 Edip Erkuş. The network helps show where Edip Erkuş may publish in the future.
Co-authors
The 15 scholars most cited alongside Edip Erkuş, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 142 | |
| 2 | 2019 | 132 | |
| 3 | 2019 | 131 | |
| 4 | 2019 | 96 | |
| 5 | 2020 | 77 | |
| 6 | 2018 | 74 | |
| 7 | 2018 | 61 | |
| 8 | Could Red Cell Distribution Width be a Marker of Thyroid Cancer? | 2017 | 54 |
| 9 | 2019 | 54 | |
| 10 | 2019 | 28 | |
| 11 | Haemogram Parameters in Vitamin D Deficiency. | 2018 | 21 |
| 12 | 2018 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2018 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 4 | |
| 18 | 2018 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 2 |
About Edip Erkuş
Edip Erkuş is a scholar working on Oncology, Nephrology, Epidemiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 36 papers that have together received 945 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (9 papers), Dialysis and Renal Disease Management (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Celiac Disease Research and Management (2 papers), Central Venous Catheters and Hemodialysis (2 papers), Genetic and Kidney Cyst Diseases (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Nephrology (132 citations), Oncology (259 citations), Endocrinology, Diabetes and Metabolism (107 citations), Epidemiology (147 citations) and Obstetrics and Gynecology (30 citations). Edip Erkuş has collaborated with scholars based in Türkiye, Cambodia and Colombia. Frequent co-authors include Gülali Aktaş, Mehmet Zahid Koçak, Haluk Şavlı, Tuba Taslamacıoğlu Duman, Burçin Meryem Atak Tel, Mustafa Şit, Hayri Erkol, İsa Sıncer, Oğuz Dikbaş and Özgür Mehmet Yis. Their work appears in journals such as Seminars in Dialysis, Medicine, Swiss Medical Weekly, European Journal of Clinical Investigation and Revista da Associação Médica Brasileira.
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.