İbrahim Ilik

2.0k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

İbrahim Ilik is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, İbrahim Ilik has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Plant Science. Recurrent topics in İbrahim Ilik's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (4 papers). İbrahim Ilik is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Cancer-related molecular mechanisms research (4 papers). İbrahim Ilik collaborates with scholars based in Germany, United States and United Kingdom. İbrahim Ilik's co-authors include Asifa Akhtar, Tuğçe Aktaş, Rolf Backofen, Daniel Maticzka, Plamen Georgiev, Jeffrey J. Quinn, Howard Y. Chang, Cecília Pessoa Rodrigues, Thomas Manke and Vivek Bhardwaj and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

İbrahim Ilik

18 papers receiving 1.3k citations

Hit Papers

DHX9 suppresses RNA processing defects originating from t... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
İbrahim Ilik Germany 13 1.2k 620 99 94 64 18 1.3k
Hadas Hezroni Israel 12 843 0.7× 515 0.8× 64 0.6× 77 0.8× 87 1.4× 16 978
Chenguang Gong United States 10 1.6k 1.4× 1.1k 1.8× 89 0.9× 66 0.7× 68 1.1× 14 1.8k
Yafei Yin China 10 1.1k 0.9× 625 1.0× 236 2.4× 73 0.8× 49 0.8× 18 1.2k
Karen J. Goodrich United States 20 1.9k 1.6× 673 1.1× 148 1.5× 112 1.2× 35 0.5× 22 2.0k
Daniel Grau United States 9 1.3k 1.1× 520 0.8× 124 1.3× 140 1.5× 26 0.4× 9 1.3k
Barry Kesner United States 12 1.2k 1.0× 463 0.7× 128 1.3× 296 3.1× 36 0.6× 21 1.3k
Daniel Maticzka Germany 11 1.1k 0.9× 462 0.7× 48 0.5× 71 0.8× 33 0.5× 15 1.2k
Guifeng Wei United Kingdom 18 1.1k 0.9× 579 0.9× 52 0.5× 188 2.0× 14 0.2× 33 1.3k
Julie L. Aspden United Kingdom 12 840 0.7× 255 0.4× 69 0.7× 64 0.7× 22 0.3× 24 957
Yoshinari Ando Japan 15 842 0.7× 452 0.7× 63 0.6× 104 1.1× 11 0.2× 27 1.0k

Countries citing papers authored by İbrahim Ilik

Since Specialization
Citations

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

Fields of papers citing papers by İbrahim Ilik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İbrahim Ilik

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

All Works

18 of 18 papers shown
1.
Ilik, İbrahim, Yang Xu, ZZ Zhao Zhang, & Tuğçe Aktaş. (2025). Transcriptional and post-transcriptional regulation of transposable elements and their roles in development and disease. Nature Reviews Molecular Cell Biology. 26(10). 759–775. 1 indexed citations
2.
Kellner, Markus, Yuanyu Hu, Lin Lü, et al.. (2024). The Nuclear Speckles Protein SRRM2 Is Exposed on the Surface of Cancer Cells. Cells. 13(18). 1563–1563. 2 indexed citations
3.
Ilik, İbrahim, Petar Glažar, Kevin Tse, et al.. (2024). Autonomous transposons tune their sequences to ensure somatic suppression. Nature. 626(8001). 1116–1124. 18 indexed citations
4.
Hetzel, Sara, İbrahim Ilik, Philip Yuk Kwong Yung, et al.. (2023). Dynamic antagonism between key repressive pathways maintains the placental epigenome. Nature Cell Biology. 25(4). 579–591. 15 indexed citations
5.
Preußner, Marco, Benno Kuropka, İbrahim Ilik, et al.. (2022). A multi-factor trafficking site on the spliceosome remodeling enzyme BRR2 recruits C9ORF78 to regulate alternative splicing. Nature Communications. 13(1). 1132–1132. 9 indexed citations
6.
Hilal, Tarek, Benno Kuropka, İbrahim Ilik, et al.. (2022). The intrinsically disordered TSSC4 protein acts as a helicase inhibitor, placeholder and multi-interaction coordinator during snRNP assembly and recycling. Nucleic Acids Research. 50(5). 2938–2958. 10 indexed citations
7.
Ilik, İbrahim & Tuğçe Aktaş. (2021). Nuclear speckles: dynamic hubs of gene expression regulation. FEBS Journal. 289(22). 7234–7245. 72 indexed citations
8.
Ilik, İbrahim, et al.. (2020). SON and SRRM2 are essential for nuclear speckle formation. eLife. 9. 146 indexed citations
9.
Engel, Christina, İbrahim Ilik, Daniel Maticzka, et al.. (2020). Nephronophthisis gene products display RNA-binding properties and are recruited to stress granules. Scientific Reports. 10(1). 15954–15954. 8 indexed citations
10.
Ilik, İbrahim, Tuğçe Aktaş, Daniel Maticzka, Rolf Backofen, & Asifa Akhtar. (2019). FLASH: ultra-fast protocol to identify RNA–protein interactions in cells. Nucleic Acids Research. 48(3). e15–e15. 14 indexed citations
11.
Maticzka, Daniel, İbrahim Ilik, Tuğçe Aktaş, Rolf Backofen, & Asifa Akhtar. (2018). uvCLAP is a fast and non-radioactive method to identify in vivo targets of RNA-binding proteins. Nature Communications. 9(1). 1142–1142. 19 indexed citations
12.
Ilik, İbrahim, et al.. (2017). A mutually exclusive stem–loop arrangement in roX2 RNA is essential for X-chromosome regulation in Drosophila. Genes & Development. 31(19). 1973–1987. 21 indexed citations
13.
Aktaş, Tuğçe, İbrahim Ilik, Daniel Maticzka, et al.. (2017). DHX9 suppresses RNA processing defects originating from the Alu invasion of the human genome. Nature. 544(7648). 115–119. 422 indexed citations breakdown →
14.
Quinn, Jeffrey J., Qiangfeng Cliff Zhang, Plamen Georgiev, et al.. (2016). Rapid evolutionary turnover underlies conserved lncRNA–genome interactions. Genes & Development. 30(2). 191–207. 141 indexed citations
15.
Quinn, Jeffrey J., İbrahim Ilik, Kun Qu, et al.. (2014). Revealing long noncoding RNA architecture and functions using domain-specific chromatin isolation by RNA purification. Nature Biotechnology. 32(9). 933–940. 138 indexed citations
16.
Ilik, İbrahim, Jeffrey J. Quinn, Plamen Georgiev, et al.. (2013). Tandem Stem-Loops in roX RNAs Act Together to Mediate X Chromosome Dosage Compensation in Drosophila. Molecular Cell. 51(2). 156–173. 133 indexed citations
17.
Conrad, Thomas, Florence M.G. Cavalli, Herbert Holz, et al.. (2012). The MOF Chromobarrel Domain Controls Genome-wide H4K16 Acetylation and Spreading of the MSL Complex. Developmental Cell. 22(3). 610–624. 58 indexed citations
18.
Ilik, İbrahim & Asifa Akhtar. (2009). roX RNAs: Non-coding regulators of the male X chromosome in flies. RNA Biology. 6(2). 113–121. 41 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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