Sevim Kahraman

1.3k total citations
29 papers, 538 citations indexed

About

Sevim Kahraman is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Sevim Kahraman has authored 29 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 14 papers in Molecular Biology and 14 papers in Genetics. Recurrent topics in Sevim Kahraman's work include Pancreatic function and diabetes (20 papers), Diabetes and associated disorders (8 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Sevim Kahraman is often cited by papers focused on Pancreatic function and diabetes (20 papers), Diabetes and associated disorders (8 papers) and Genetics and Neurodevelopmental Disorders (6 papers). Sevim Kahraman collaborates with scholars based in United States, Türkiye and Portugal. Sevim Kahraman's co-authors include Ercument Dirice, Rohit Kulkarni, Dario F. De Jesus, Jiang Hu, Bridget K. Wagner, Rohit Kulkarni, Ahter Dilşad Şanlioğlu, Amedeo Vetere, David E. Olson and Paul A. Clemons and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The EMBO Journal.

In The Last Decade

Sevim Kahraman

28 papers receiving 534 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sevim Kahraman United States 13 338 236 220 146 43 29 538
Aaron Bender United States 9 400 1.2× 292 1.2× 272 1.2× 216 1.5× 41 1.0× 11 616
Laurence E. Stout United States 14 376 1.1× 276 1.2× 213 1.0× 245 1.7× 52 1.2× 16 745
Caroline Mrejen United States 8 296 0.9× 331 1.4× 208 0.9× 108 0.7× 27 0.6× 8 575
Nick Giannoukakis United States 8 85 0.3× 146 0.6× 129 0.6× 68 0.5× 35 0.8× 14 362
Leesa M. Linck United States 10 344 1.0× 458 1.9× 135 0.6× 35 0.2× 27 0.6× 13 621
Claudia Schuster Germany 12 83 0.2× 348 1.5× 110 0.5× 128 0.9× 10 0.2× 19 544
Lisbeth Bjerring Jensen Denmark 8 187 0.6× 215 0.9× 61 0.3× 347 2.4× 18 0.4× 13 524
L. Schäffer Denmark 7 394 1.2× 529 2.2× 139 0.6× 555 3.8× 31 0.7× 10 885
Christopher Hillard United States 4 124 0.4× 122 0.5× 140 0.6× 42 0.3× 33 0.8× 8 384
Tadashi Hanabusa Japan 12 276 0.8× 271 1.1× 165 0.8× 138 0.9× 261 6.1× 20 619

Countries citing papers authored by Sevim Kahraman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sevim Kahraman

This figure shows the co-authorship network connecting the top 25 collaborators of Sevim Kahraman. A scholar is included among the top collaborators of Sevim Kahraman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sevim Kahraman. Sevim Kahraman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shibue, Kimitaka, Sevim Kahraman, Jorge Iván Castillo-Quan, et al.. (2025). Genome-wide CRISPR Screen Identifies Sec31A as a Key Regulator of Alpha Cell Survival. Nature Communications. 16(1). 9159–9159.
2.
Kahraman, Sevim, Dario F. De Jesus, Jiangbo Wei, et al.. (2024). m6A mRNA methylation by METTL14 regulates early pancreatic cell differentiation. The EMBO Journal. 43(22). 5445–5468. 5 indexed citations
3.
Kahraman, Sevim, Kimitaka Shibue, Dario F. De Jesus, et al.. (2023). Fluorescein-based sensors to purify human α-cells for functional and transcriptomic analyses. eLife. 12. 1 indexed citations
4.
Kahraman, Sevim, Ercument Dirice, Giorgio Basile, et al.. (2022). Abnormal exocrine–endocrine cell cross-talk promotes β-cell dysfunction and loss in MODY8. Nature Metabolism. 4(1). 76–89. 33 indexed citations
5.
6.
Kahraman, Sevim, Debasish Manna, Ercument Dirice, et al.. (2021). Harnessing reaction-based probes to preferentially target pancreatic β-cells and β-like cells. Life Science Alliance. 4(4). e202000840–e202000840. 11 indexed citations
7.
Basile, Giorgio, Sevim Kahraman, Ercument Dirice, et al.. (2021). Using single-nucleus RNA-sequencing to interrogate transcriptomic profiles of archived human pancreatic islets. Genome Medicine. 13(1). 128–128. 18 indexed citations
8.
Okawa, Erin R., Manoj K. Gupta, Sevim Kahraman, et al.. (2021). Essential roles of insulin and IGF-1 receptors during embryonic lineage development. Molecular Metabolism. 47. 101164–101164. 6 indexed citations
9.
Lee, Miseon, Basudeb Maji, Debasish Manna, et al.. (2020). Native Zinc Catalyzes Selective and Traceless Release of Small Molecules in β-Cells. Journal of the American Chemical Society. 142(14). 6477–6482. 22 indexed citations
10.
Gupta, Manoj K., Heidrun Vethe, Samir Softic, et al.. (2020). Leptin Receptor Signaling Regulates Protein Synthesis Pathways and Neuronal Differentiation in Pluripotent Stem Cells. Stem Cell Reports. 15(5). 1067–1079. 3 indexed citations
11.
Dirice, Ercument, Dario F. De Jesus, Sevim Kahraman, et al.. (2019). Human duct cells contribute to β cell compensation in insulin resistance. JCI Insight. 4(8). 47 indexed citations
12.
Gupta, Manoj, Dario F. De Jesus, Sevim Kahraman, et al.. (2018). Insulin receptor-mediated signaling regulates pluripotency markers and lineage differentiation. Molecular Metabolism. 18. 153–163. 20 indexed citations
13.
Dirice, Ercument, Deepika Walpita, Amedeo Vetere, et al.. (2016). Inhibition of DYRK1A Stimulates Human β-Cell Proliferation. Diabetes. 65(6). 1660–1671. 150 indexed citations
14.
Akkaya, Bahar, et al.. (2016). Analysis of TNF-related apoptosis-inducing ligand and receptors and implications in thymus biology and myasthenia gravis. Neuromuscular Disorders. 27(2). 128–135. 5 indexed citations
15.
Kahraman, Sevim, Erin R. Okawa, & Rohit Kulkarni. (2016). Is Transforming Stem Cells to Pancreatic Beta Cells Still the Holy Grail for Type 2 Diabetes?. Current Diabetes Reports. 16(8). 70–70. 12 indexed citations
16.
Kahraman, Sevim, Çiğdem Aydın, Gülsüm Özlem Elpek, Ercument Dirice, & Ahter Dilşad Şanlioğlu. (2015). Diabetes-Resistant NOR Mice Are More Severely Affected by Streptozotocin Compared to the Diabetes-Prone NOD Mice: Correlations with Liver and Kidney GLUT2 Expressions. Journal of Diabetes Research. 2015. 1–8. 12 indexed citations
17.
Kahraman, Sevim, Ercument Dirice, Mustafa Gökhan Ertosun, et al.. (2011). Tracing of islet graft survival by way of in vivo fluorescence imaging. Diabetes/Metabolism Research and Reviews. 27(6). 575–583. 11 indexed citations
18.
Dirice, Ercument, Sevim Kahraman, Gülsüm Özlem Elpek, et al.. (2011). TRAIL and DcR1 Expressions Are Differentially Regulated in the Pancreatic Islets of STZ- versus CY-Applied NOD Mice. Experimental Diabetes Research. 2011. 1–11. 12 indexed citations
19.
Kahraman, Sevim, Ercument Dirice, Ahter Dilşad Şanlioğlu, et al.. (2009). In Vivo Fluorescence Imaging is Well-Suited for the Monitoring of Adenovirus Directed Transgene Expression in Living Organisms. Molecular Imaging and Biology. 12(3). 278–285. 8 indexed citations
20.
Verlinsky, Oleg, et al.. (2009). Seven years of experience on preimplantation HLA typing. Reproductive BioMedicine Online. 18. S–11. 1 indexed citations

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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