Sevim Kahraman
Impact in
-
- Diabetes Management and Research
- Genetics top 10%
- Diabetes and associated disorders
- Genetics and Neurodevelopmental Disorders
Papers in
- Surgery 21
- Pancreatic function and diabetes 20
-
- Pluripotent Stem Cells Research 4
- Metabolism, Diabetes, and Cancer 3
- Renal and related cancers 3
- Co-authors
- Ercument Dirice (16 shared papers)Rohit Kulkarni (14 shared papers)Dario F. De Jesus (9 shared papers)Jiang Hu (5 shared papers)Bridget K. Wagner (4 shared papers)Rohit Kulkarni (3 shared papers)Amedeo Vetere (2 shared papers)Ahter Dilşad Şanlioğlu (8 shared papers)
- Journals
- Diabetes (3 papers)Reproductive BioMedicine Online (3 papers)Molecular Metabolism (2 papers)JCI Insight (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- United StatesTürkiyePortugal
In The Last Decade
Sevim Kahraman
28 papers receiving 534 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 146
- Genetics 220
- Surgery 338
- Molecular Biology 236
- Obstetrics and Gynecology 20
Countries citing papers authored by Sevim Kahraman
This map shows the geographic impact of Sevim Kahraman'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 Sevim Kahraman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sevim Kahraman more than expected).
Fields of papers citing papers by Sevim Kahraman
This network shows the impact of papers produced by Sevim Kahraman. 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 Sevim Kahraman. The network helps show where Sevim Kahraman may publish in the future.
Co-authors
The 25 scholars most cited alongside Sevim Kahraman, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 150 | |
| 2 | 2013 | 56 | |
| 3 | 2019 | 47 | |
| 4 | 2022 | 33 | |
| 5 | 2009 | 31 | |
| 6 | 2014 | 30 | |
| 7 | 2020 | 22 | |
| 8 | 2018 | 20 | |
| 9 | 2015 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2016 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2011 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2011 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2009 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2016 | 5 | |
| 20 | 2024 | 5 |
About Sevim Kahraman
Sevim Kahraman is a scholar working on Surgery, Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 29 papers that have together received 538 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (20 papers), Diabetes and associated disorders (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Pluripotent Stem Cells Research (4 papers), Diabetes Management and Research (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Renal and related cancers (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (146 citations), Genetics (220 citations), Surgery (338 citations), Molecular Biology (236 citations) and Obstetrics and Gynecology (20 citations). Sevim Kahraman has collaborated with scholars based in United States, Türkiye and Portugal. Frequent co-authors include Ercument Dirice, Rohit Kulkarni, Dario F. De Jesus, Jiang Hu, Bridget K. Wagner, Rohit Kulkarni, Amedeo Vetere, Ahter Dilşad Şanlioğlu, David E. Olson and Vlado Dančík. Their work appears in journals such as Diabetes, Reproductive BioMedicine Online, Molecular Metabolism, JCI Insight and Human Gene Therapy.
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.