Cansu Colpan

922 total citations
11 papers, 569 citations indexed

About

Cansu Colpan is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Cansu Colpan has authored 11 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Cansu Colpan's work include Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and RNA Interference and Gene Delivery (3 papers). Cansu Colpan is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), CRISPR and Genetic Engineering (6 papers) and RNA Interference and Gene Delivery (3 papers). Cansu Colpan collaborates with scholars based in United States, China and Switzerland. Cansu Colpan's co-authors include Phillip D. Zamore, Ildar Gainetdinov, Katharine Cecchini, Amena Arif, Zhiping Weng, Deniz M. Özata, Pei-Hsuan Wu, Tianxiong Yu, Haiwei Mou and Ryuya Fukunaga and has published in prestigious journals such as Nature, Nature Genetics and The EMBO Journal.

In The Last Decade

Cansu Colpan

11 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cansu Colpan United States 11 508 339 81 79 20 11 569
Jordi Xiol France 4 491 1.0× 360 1.1× 37 0.5× 86 1.1× 21 1.1× 4 553
Martin Fabry United Kingdom 4 460 0.9× 299 0.9× 79 1.0× 50 0.6× 19 0.9× 4 524
Amena Arif United States 8 432 0.9× 283 0.8× 50 0.6× 68 0.9× 10 0.5× 9 481
Pavol Genzor United States 10 403 0.8× 211 0.6× 81 1.0× 75 0.9× 16 0.8× 15 455
Marzia Munafò United Kingdom 10 637 1.3× 390 1.2× 93 1.1× 72 0.9× 19 0.9× 11 718
Evelyn L. Eastwood United Kingdom 6 498 1.0× 368 1.1× 72 0.9× 60 0.8× 14 0.7× 7 563
Emma Kneuss United Kingdom 6 546 1.1× 378 1.1× 88 1.1× 67 0.8× 22 1.1× 8 631
Yusuke Shiromoto Japan 12 737 1.5× 242 0.7× 96 1.2× 111 1.4× 91 4.5× 18 845
Özgen Deniz United Kingdom 10 729 1.4× 382 1.1× 50 0.6× 93 1.2× 37 1.9× 11 825
Soichiro Yamanaka Japan 11 940 1.9× 315 0.9× 112 1.4× 37 0.5× 49 2.5× 15 1.0k

Countries citing papers authored by Cansu Colpan

Since Specialization
Citations

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

Fields of papers citing papers by Cansu Colpan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cansu Colpan

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

All Works

11 of 11 papers shown
1.
Gainetdinov, Ildar, Joel Vega‐Badillo, Katharine Cecchini, et al.. (2023). Relaxed targeting rules help PIWI proteins silence transposons. Nature. 619(7969). 394–402. 42 indexed citations
2.
Cecchini, Katharine, Tianxiong Yu, Haiwei Mou, et al.. (2022). The transcription factor TCFL5 responds to A-MYB to elaborate the male meiotic program in mice. Reproduction. 165(2). 183–196. 16 indexed citations
3.
Gainetdinov, Ildar, Cansu Colpan, Katharine Cecchini, et al.. (2021). Terminal modification, sequence, length, and PIWI-protein identity determine piRNA stability. Molecular Cell. 81(23). 4826–4842.e8. 41 indexed citations
4.
Wu, Pei-Hsuan, Yu Fu, Katharine Cecchini, et al.. (2020). The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility. Nature Genetics. 52(7). 728–739. 93 indexed citations
5.
Özata, Deniz M., Tianxiong Yu, Haiwei Mou, et al.. (2019). Evolutionarily conserved pachytene piRNA loci are highly divergent among modern humans. Nature Ecology & Evolution. 4(1). 156–168. 68 indexed citations
6.
Xie, Jun, Phillip W.L. Tai, Alexander Brown, et al.. (2019). Effective and Accurate Gene Silencing by a Recombinant AAV-Compatible MicroRNA Scaffold. Molecular Therapy. 28(2). 422–430. 22 indexed citations
7.
Gainetdinov, Ildar, Cansu Colpan, Amena Arif, Katharine Cecchini, & Phillip D. Zamore. (2018). A Single Mechanism of Biogenesis, Initiated and Directed by PIWI Proteins, Explains piRNA Production in Most Animals. Molecular Cell. 71(5). 775–790.e5. 149 indexed citations
8.
Mattei, Eugenio, et al.. (2018). Maelstrom Represses Canonical Polymerase II Transcription within Bi-directional piRNA Clusters in Drosophila melanogaster. Molecular Cell. 73(2). 291–303.e6. 27 indexed citations
9.
Li, Yingxiang, Haiwei Mou, Cansu Colpan, et al.. (2015). A versatile reporter system for CRISPR-mediated chromosomal rearrangements. Genome Biology. 16(1). 111–111. 56 indexed citations
10.
Lyle, Stephen, Kathleen Hoover, Cansu Colpan, et al.. (2014). Dicer Cooperates with p53 to Suppress DNA Damage and Skin Carcinogenesis in Mice. PLoS ONE. 9(6). e100920–e100920. 17 indexed citations
11.
Fukunaga, Ryuya, Cansu Colpan, Bo Han, & Phillip D. Zamore. (2014). Inorganic phosphate blocks binding of pre-miRNA to Dicer-2 via its PAZ domain. The EMBO Journal. 33(4). 371–384. 38 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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