Sevim Kahraman
Impact in
-
- Diabetes Management and Research
- Surgery top 5%
- Pancreatic function and diabetes
Papers in
- Co-authors
- Rohit Kulkarni (15 shared papers)Ercument Dirice (16 shared papers)Dario F. De Jesus (10 shared papers)Jiang Yong Hu (6 shared papers)Manoj Kumar Gupta (2 shared papers)Natalie K. Brown (3 shared papers)Chuan He (3 shared papers)Zijie Scott Zhang (2 shared papers)
- Journals
- Nature Metabolism (3 papers)Diabetes (3 papers)Molecular Metabolism (2 papers)JCI Insight (2 papers)Reproductive BioMedicine Online (2 papers)
- Partner nations
- United StatesTürkiyePortugal
In The Last Decade
Sevim Kahraman
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 232
- Surgery 565
- Genetics 351
- Molecular Biology 518
- Cancer Research 96
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2019 | 201 | |
| 3 | 2016 | 170 | |
| 4 | 2013 | 64 | |
| 5 | 2019 | 48 | |
| 6 | 2022 | 41 | |
| 7 | 2024 | 40 | |
| 8 | 2019 | 39 | |
| 9 | 2014 | 36 | |
| 10 | 2009 | 34 | |
| 11 | 2020 | 26 | |
| 12 | 2021 | 23 | |
| 13 | 2015 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2017 | 18 | |
| 16 | 2016 | 13 | |
| 17 | 2011 | 12 | |
| 18 | 2015 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 10 |
About Sevim Kahraman
Sevim Kahraman is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes and associated disorders (9 papers), Genetics and Neurodevelopmental Disorders (6 papers), Pluripotent Stem Cells Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (232 citations), Surgery (565 citations), Genetics (351 citations), Molecular Biology (518 citations) and Cancer Research (96 citations). Sevim Kahraman has collaborated with scholars based in United States, Türkiye and Portugal. Frequent co-authors include Rohit Kulkarni, Ercument Dirice, Dario F. De Jesus, Jiang Yong Hu, Manoj Kumar Gupta, Natalie K. Brown, Chuan He, Zijie Scott Zhang, Mengjie Chen and Jiang Hu. Their work appears in journals such as Nature Metabolism, Diabetes, Molecular Metabolism, JCI Insight and Reproductive BioMedicine Online.
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.