Sabit Delic

431 total citations
10 papers, 336 citations indexed

About

Sabit Delic is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sabit Delic has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Sabit Delic's work include RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). Sabit Delic is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), MicroRNA in disease regulation (2 papers) and RNA Research and Splicing (2 papers). Sabit Delic collaborates with scholars based in Germany, Italy and United States. Sabit Delic's co-authors include Guido Reifenberger, Markus J. Riemenschneider, Markus J. Riemenschneider, Wolfgang Wurst, Ralf Kühn, Marietta Wolter, Silke Götze, Torsten Haferlach, Wolfgang Kern and Claudia Haferlach and has published in prestigious journals such as Blood, PLoS ONE and Acta Neuropathologica.

In The Last Decade

Sabit Delic

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sabit Delic Germany	8	207	100	79	77	41	10	336
Raffaella Spina United States	10	230 1.1×	88 0.9×	64 0.8×	47 0.6×	26 0.6×	15	325
Ying Xia China	9	285 1.4×	82 0.8×	47 0.6×	34 0.4×	60 1.5×	20	434
Yehua Weng United States	7	268 1.3×	64 0.6×	117 1.5×	72 0.9×	41 1.0×	8	428
Andrea Odersky Germany	10	408 2.0×	150 1.5×	69 0.9×	35 0.5×	35 0.9×	16	478
Cécile Pierre‐Eugène France	11	267 1.3×	99 1.0×	82 1.0×	42 0.5×	41 1.0×	17	427
Tanya Smyczek Netherlands	6	265 1.3×	82 0.8×	110 1.4×	43 0.6×	14 0.3×	7	405
Sushma L Jasti United States	7	225 1.1×	176 1.8×	127 1.6×	38 0.5×	33 0.8×	8	369
Ken-ichi Sawada Japan	9	214 1.0×	138 1.4×	74 0.9×	81 1.1×	79 1.9×	9	396
Janani Sundaresan United States	7	293 1.4×	58 0.6×	42 0.5×	43 0.6×	83 2.0×	12	445
Shi-Yuan Cheng United States	9	306 1.5×	148 1.5×	95 1.2×	66 0.9×	12 0.3×	9	412

Countries citing papers authored by Sabit Delic

Since Specialization

Citations

This map shows the geographic impact of Sabit Delic'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 Sabit Delic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabit Delic more than expected).

Fields of papers citing papers by Sabit Delic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabit Delic. 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 Sabit Delic. The network helps show where Sabit Delic may publish in the future.

Co-authorship network of co-authors of Sabit Delic

This figure shows the co-authorship network connecting the top 25 collaborators of Sabit Delic. A scholar is included among the top collaborators of Sabit Delic 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 Sabit Delic. Sabit Delic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Hoermann, Gregor, Niroshan Nadarajah, Constance Baer, et al.. (2021). Incidential Findings of Mutations in the PIGA Gene Are Highly Specific for the Presence of PNH Clones. Blood. 138(Supplement 1). 1117–1117.

Delic, Sabit, et al.. (2021). Frequent Epigenetic Inactivation of DIRAS-1 and DIRAS-2 Contributes to Chemo-Resistance in Gliomas. Cancers. 13(20). 5113–5113. 6 indexed citations

Delic, Sabit, Dominic Rose, Wolfgang Kern, et al.. (2016). Application of an NGS‐based 28‐gene panel in myeloproliferative neoplasms reveals distinct mutation patterns in essential thrombocythaemia, primary myelofibrosis and polycythaemia vera. British Journal of Haematology. 175(3). 419–426. 51 indexed citations

Delic, Sabit, Markus Schulze, Martin Proescholdt, et al.. (2015). Systematic investigation of CMTM family genes suggests relevance to glioblastoma pathogenesis and CMTM1 and CMTM3 as priority targets. Genes Chromosomes and Cancer. 54(7). 433–443. 32 indexed citations

Giesert, Florian, Sabit Delic, Theresa Faus-Keßler, et al.. (2014). FGF/FGFR2 Signaling Regulates the Generation and Correct Positioning of Bergmann Glia Cells in the Developing Mouse Cerebellum. PLoS ONE. 9(7). e101124–e101124. 14 indexed citations

Delic, Sabit, Anja Stelzl, Marietta Wolter, et al.. (2013). MiR-328 promotes glioma cell invasion via SFRP1-dependent Wnt-signaling activation. Neuro-Oncology. 16(2). 179–190. 79 indexed citations

Delic, Sabit, et al.. (2011). SOCS3 promoter methylation is mutually exclusive to EGFR amplification in gliomas and promotes glioma cell invasion through STAT3 and FAK activation. Acta Neuropathologica. 122(2). 241–251. 72 indexed citations

Delic, Sabit, et al.. (2011). Identification and functional validation of CDH11, PCSK6 and SH3GL3 as novel glioma invasion‐associated candidate genes. Neuropathology and Applied Neurobiology. 38(2). 201–212. 36 indexed citations

Delic, Sabit, et al.. (2009). Generation of shRNA Transgenic Mice. Methods in molecular biology. 530. 101–129. 24 indexed citations

10.

Delic, Sabit, Stefan Streif, Jan M. Deussing, et al.. (2008). Genetic mouse models for behavioral analysis through transgenic RNAi technology. Genes Brain & Behavior. 7(7). 821–830. 22 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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