A. Ercüment Çiçek

10.3k total citations
59 papers, 902 citations indexed

About

A. Ercüment Çiçek is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, A. Ercüment Çiçek has authored 59 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 17 papers in Genetics and 11 papers in Cancer Research. Recurrent topics in A. Ercüment Çiçek's work include Bioinformatics and Genomic Networks (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). A. Ercüment Çiçek is often cited by papers focused on Bioinformatics and Genomic Networks (13 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Microbial Metabolic Engineering and Bioproduction (9 papers). A. Ercüment Çiçek collaborates with scholars based in United States, Türkiye and France. A. Ercüment Çiçek's co-authors include Öznur Taştan, Izzie Jacques Namer, Erman Ayday, Yücel Saygın, Can Alkan, Xin He, Alessio Impériale, Gültekin Özsoyoğlu, Mehmet Ercan Nergiz and Can Fırtına and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

A. Ercüment Çiçek

56 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Ercüment Çiçek United States 17 535 178 160 119 100 59 902
Anaı̈s Baudot France 20 1.1k 2.1× 166 0.9× 185 1.2× 85 0.7× 211 2.1× 54 1.6k
Kalliopi Tsafou Denmark 10 876 1.6× 130 0.7× 117 0.7× 84 0.7× 123 1.2× 12 1.1k
Venkata Satagopam Luxembourg 19 1.1k 2.0× 158 0.9× 98 0.6× 64 0.5× 80 0.8× 66 1.6k
Aziz M. Mezlini United States 8 1.0k 1.9× 267 1.5× 96 0.6× 191 1.6× 132 1.3× 13 1.5k
José A. Seoane Spain 21 839 1.6× 372 2.1× 114 0.7× 123 1.0× 98 1.0× 55 1.6k
Hannah Tipney United States 12 733 1.4× 80 0.4× 416 2.6× 97 0.8× 131 1.3× 20 1.3k
Gregorio Alanis‐Lobato Germany 16 1.0k 1.9× 53 0.3× 132 0.8× 226 1.9× 168 1.7× 33 1.4k
James S. Duncan United States 22 1.1k 2.1× 140 0.8× 57 0.4× 74 0.6× 66 0.7× 52 1.7k
Lijun Cheng United States 18 1.1k 2.0× 284 1.6× 315 2.0× 39 0.3× 130 1.3× 66 1.6k
Kyubum Lee United States 16 612 1.1× 116 0.7× 120 0.8× 257 2.2× 122 1.2× 32 1.1k

Countries citing papers authored by A. Ercüment Çiçek

Since Specialization
Citations

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

Fields of papers citing papers by A. Ercüment Çiçek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Ercüment Çiçek. 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 A. Ercüment Çiçek. The network helps show where A. Ercüment Çiçek may publish in the future.

Co-authorship network of co-authors of A. Ercüment Çiçek

This figure shows the co-authorship network connecting the top 25 collaborators of A. Ercüment Çiçek. A scholar is included among the top collaborators of A. Ercüment Çiçek 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 A. Ercüment Çiçek. A. Ercüment Çiçek 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.
2.
Çiçek, A. Ercüment, et al.. (2025). RNAtranslator: Modeling protein-conditional RNA design as sequence-to-sequence natural language translation. PLoS Computational Biology. 21(10). e1013541–e1013541.
3.
Şeker, Urartu Özgür Şafak, et al.. (2024). UTRGAN: learning to generate 5′ UTR sequences for optimized translation efficiency and gene expression. Bioinformatics Advances. 5(1). vbaf134–vbaf134. 2 indexed citations
4.
Çiçek, A. Ercüment, et al.. (2024). From cell lines to cancer patients: personalized drug synergy prediction. Bioinformatics. 40(5). 5 indexed citations
5.
Alkan, Can, et al.. (2024). ECOLE: Learning to call copy number variants on whole exome sequencing data. Nature Communications. 15(1). 132–132. 3 indexed citations
6.
7.
Alkan, Can, et al.. (2022). Polishing copy number variant calls on exome sequencing data via deep learning. Genome Research. 32(6). 1170–1182. 8 indexed citations
8.
Koyutürk, Mehmet, et al.. (2021). Uncovering complementary sets of variants for predicting quantitative phenotypes. Bioinformatics. 38(4). 908–917. 1 indexed citations
9.
Ayday, Erman, et al.. (2021). Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons. SHILAP Revista de lepidopterología. 19 indexed citations
10.
Ayday, Erman, et al.. (2020). The effect of kinship in re-identification attacks against genomic data sharing beacons. Bioinformatics. 36(Supplement_2). i903–i910. 6 indexed citations
11.
Taştan, Öznur, et al.. (2020). Potpourri: An Epistasis Test Prioritization Algorithm via Diverse SNP Selection. Journal of Computational Biology. 28(4). 365–377. 1 indexed citations
12.
Taştan, Öznur, et al.. (2020). A Tool for Detecting Complementary Single Nucleotide Polymorphism Pairs in Genome-Wide Association Studies for Epistasis Testing. Journal of Computational Biology. 28(4). 378–380. 1 indexed citations
13.
Norman, Utku & A. Ercüment Çiçek. (2019). ST-Steiner: a spatio-temporal gene discovery algorithm. Bioinformatics. 35(18). 3433–3440. 7 indexed citations
14.
Bund, Caroline, Mariana Guergova-Kuras, A. Ercüment Çiçek, et al.. (2019). An integrated genomic and metabolomic approach for defining survival time in adult oligodendrogliomas patients. Metabolomics. 15(5). 69–69. 6 indexed citations
15.
Faitot, François, Camille Besch, Pietro Addeo, et al.. (2019). Metabolomic profiling highlights the metabolic bases of acute-on-chronic and post-hepatectomy liver failure. HPB. 21(10). 1354–1361. 5 indexed citations
16.
Zhao, Siming, Jun Liu, Yuwen Liu, et al.. (2019). Detailed modeling of positive selection improves detection of cancer driver genes. Nature Communications. 10(1). 3399–3399. 54 indexed citations
17.
Ayday, Erman, et al.. (2018). Re-identification of individuals in genomic data-sharing beacons via allele inference. Bioinformatics. 35(3). 365–371. 48 indexed citations
18.
Liu, Yuwen, Yanyu Liang, A. Ercüment Çiçek, et al.. (2018). A Statistical Framework for Mapping Risk Genes from De Novo Mutations in Whole-Genome-Sequencing Studies. The American Journal of Human Genetics. 102(6). 1031–1047. 20 indexed citations
19.
Çiçek, A. Ercüment, Xin Qi, Stephen R. Johnson, et al.. (2014). An online system for metabolic network analysis. Database. 2014(0). bau091–bau091. 4 indexed citations
20.
Çiçek, A. Ercüment, et al.. (2013). An online model composition tool for system biology models. BMC Systems Biology. 7(1). 88–88. 2 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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