Emre Karakoç

6.8k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Emre Karakoç is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Emre Karakoç has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Emre Karakoç's work include Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (4 papers) and Computational Drug Discovery Methods (4 papers). Emre Karakoç is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), CRISPR and Genetic Engineering (4 papers) and Computational Drug Discovery Methods (4 papers). Emre Karakoç collaborates with scholars based in United States, United Kingdom and Canada. Emre Karakoç's co-authors include Evan E. Eichler, Laura Vives, Brian J. O’Roak, Mark J. Rieder, Deborah A. Nickerson, Sarah Ng, Jay Shendure, Jerrod J. Schwartz, Pelagia Deriziotis and Raphael Bernier and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Emre Karakoç

31 papers receiving 1.6k citations

Hit Papers

Exome sequencing in sporadic autism spectrum disorders id... 2011 2026 2016 2021 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emre Karakoç United States 14 913 804 378 131 78 35 1.6k
Rui Luo United States 9 1.1k 1.2× 748 0.9× 493 1.3× 139 1.1× 128 1.6× 15 1.8k
Daniele Di Marino Italy 24 1.4k 1.5× 678 0.8× 274 0.7× 113 0.9× 266 3.4× 64 2.2k
Ivan Iossifov United States 20 1.4k 1.6× 1.4k 1.8× 922 2.4× 211 1.6× 173 2.2× 33 2.7k
Ying‐Wooi Wan United States 23 982 1.1× 358 0.4× 177 0.5× 252 1.9× 198 2.5× 51 1.8k
Meeta Mistry United States 16 777 0.9× 302 0.4× 113 0.3× 99 0.8× 89 1.1× 26 1.3k
Chaochao Cai United States 9 906 1.0× 274 0.3× 234 0.6× 209 1.6× 53 0.7× 11 1.5k
Kaitlin E. Samocha United States 17 917 1.0× 1.3k 1.6× 178 0.5× 210 1.6× 57 0.7× 23 1.9k
Elena Bonora Italy 26 1.2k 1.3× 714 0.9× 230 0.6× 524 4.0× 100 1.3× 77 2.4k
Xinchen Wang China 16 2.6k 2.8× 841 1.0× 627 1.7× 383 2.9× 169 2.2× 24 3.5k
Guan Ning Lin China 17 944 1.0× 433 0.5× 77 0.2× 116 0.9× 38 0.5× 66 1.5k

Countries citing papers authored by Emre Karakoç

Since Specialization
Citations

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

Fields of papers citing papers by Emre Karakoç

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emre Karakoç

This figure shows the co-authorship network connecting the top 25 collaborators of Emre Karakoç. A scholar is included among the top collaborators of Emre Karakoç 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 Emre Karakoç. Emre Karakoç 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.
Burgold, Thomas, Emre Karakoç, Emanuel Gonçalves, et al.. (2025). A next-generation dual guide CRISPR system for genetic interaction library screening. Nature Communications. 17(1). 561–561. 1 indexed citations
2.
Evans, Lewis, Ashley Campbell, James Smith, et al.. (2025). Tau uptake by human neurons depends on receptor LRP1 and kinase LRRK2. The EMBO Journal. 44(18). 5149–5186. 1 indexed citations
3.
Öktem, Gülperi, Fatih Oltulu, Fahriye Düzağaç, et al.. (2024). Embryonic microenvironment suppresses YY1 and YY1-related genes in prostate cancer stem cells. Pathology - Research and Practice. 260. 155467–155467.
4.
Grassi, Elena, Aikaterini Chatzipli, Emre Karakoç, et al.. (2024). Integrative ensemble modelling of cetuximab sensitivity in colorectal cancer patient-derived xenografts. Nature Communications. 15(1). 9139–9139. 5 indexed citations
5.
Karakoç, Emre, et al.. (2023). Identification of protein–protein interaction bridges for multiple sclerosis. Bioinformatics. 39(4). 1 indexed citations
6.
Karakoç, Emre & Celal Çeken. (2023). Secure SLA Management Using Smart Contracts for SDN-Enabled WSN. KSII Transactions on Internet and Information Systems. 17(11). 2 indexed citations
7.
Pacini, Clare, Joshua M. Dempster, Isabella Boyle, et al.. (2021). Integrated cross-study datasets of genetic dependencies in cancer. Nature Communications. 12(1). 1661–1661. 145 indexed citations
8.
Karakoç, Emre, et al.. (2021). CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens. BMC Genomics. 22(1). 828–828. 17 indexed citations
9.
Koç, Mevlüt, et al.. (2020). A Gravidade da Doença Afeta os Parâmetros de Repolarização Ventricular em Pacientes com COVID-19. Arquivos Brasileiros de Cardiologia. 115(5). 907–913. 9 indexed citations
10.
Feulner, Philine G. D., et al.. (2018). Population size changes and selection drive patterns of parallel evolution in a host–virus system. Nature Communications. 9(1). 1706–1706. 25 indexed citations
11.
Hiltunen, Teppo, Johannes Cairns, Matti Jalasvuori, et al.. (2018). Dual-stressor selection alters eco-evolutionary dynamics in experimental communities. Nature Ecology & Evolution. 2(12). 1974–1981. 28 indexed citations
12.
Lin, Yen‐Lung, et al.. (2015). The Evolution and Functional Impact of Human Deletion Variants Shared with Archaic Hominin Genomes. Molecular Biology and Evolution. 32(4). 1008–1019. 30 indexed citations
13.
Krumm, Niklas, Brian J. O’Roak, Emre Karakoç, et al.. (2013). Transmission Disequilibrium of Small CNVs in Simplex Autism. The American Journal of Human Genetics. 93(4). 595–606. 65 indexed citations
14.
Korvatska, Olena, Nicholas S. Strand, Jason D. Berndt, et al.. (2013). Altered splicing of ATP6AP2 causes X-linked parkinsonism with spasticity (XPDS). Human Molecular Genetics. 22(16). 3259–3268. 101 indexed citations
15.
Dao, Phuong, Ibrahim Numanagić, Yen‐Yi Lin, et al.. (2013). ORMAN: Optimal resolution of ambiguous RNA-Seq multimappings in the presence of novel isoforms. Bioinformatics. 30(5). 644–651. 8 indexed citations
16.
Karakoç, Emre, Can Alkan, Brian J. O’Roak, et al.. (2011). Detection of structural variants and indels within exome data. Nature Methods. 9(2). 176–178. 82 indexed citations
17.
O’Roak, Brian J., Pelagia Deriziotis, Choli Lee, et al.. (2011). Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations. Nature Genetics. 43(6). 585–589. 806 indexed citations breakdown →
18.
Dişel, Umut, Semra Paydaş, Şule Yavuz, & Emre Karakoç. (2010). Severe Pulmonary Toxicity Associated with Fludarabine and Possible Contribution of Rituximab. Chemotherapy. 56(2). 89–93. 5 indexed citations
19.
Salari, Raheleh, et al.. (2007). taveRNA: a web suite for RNA algorithms and applications. Nucleic Acids Research. 35(Web Server). W325–W329. 11 indexed citations
20.
Karakoç, Emre, et al.. (2004). Novel Approaches to Biomolecular Sequence Indexing.. IEEE Data(base) Engineering Bulletin. 27. 40–47. 6 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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