Azra Krek

12.2k total citations · 4 hit papers
9 papers, 6.3k citations indexed

About

Azra Krek is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Azra Krek has authored 9 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Infectious Diseases. Recurrent topics in Azra Krek's work include MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Azra Krek is often cited by papers focused on MicroRNA in disease regulation (5 papers), RNA modifications and cancer (4 papers) and RNA Research and Splicing (4 papers). Azra Krek collaborates with scholars based in United States, Germany and United Kingdom. Azra Krek's co-authors include Nikolaus Rajewsky, Philip MacMenamin, Kristin C. Gunsalus, Dominic Grün, Matthew N. Poy, Isabelle da Piedade, Markus Stoffel, Pranidhi Sood, Mihaela Zavolan and Giuseppe Macino and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Azra Krek

9 papers receiving 6.2k citations

Hit Papers

Combinatorial microRNA target predictions 2005 2026 2012 2019 2005 2008 2006 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azra Krek United States 9 5.4k 4.7k 431 271 211 9 6.3k
Thimmaiah P. Chendrimada United States 9 5.7k 1.0× 4.3k 0.9× 407 0.9× 317 1.2× 256 1.2× 13 6.4k
Richard I. Gregory United States 9 3.9k 0.7× 3.0k 0.6× 342 0.8× 162 0.6× 208 1.0× 9 4.7k
Huili Guo Singapore 13 4.6k 0.9× 3.7k 0.8× 361 0.8× 292 1.1× 167 0.8× 21 5.4k
Daehyun Baek South Korea 20 4.7k 0.9× 4.0k 0.8× 589 1.4× 196 0.7× 250 1.2× 35 5.9k
Isabelle da Piedade Denmark 7 4.1k 0.8× 3.2k 0.7× 659 1.5× 181 0.7× 238 1.1× 9 5.1k
Ulf Andersson Ørom Denmark 25 5.2k 1.0× 4.1k 0.9× 293 0.7× 265 1.0× 356 1.7× 41 6.0k
Shobha Vasudevan United States 20 3.8k 0.7× 2.8k 0.6× 319 0.7× 194 0.7× 274 1.3× 32 4.6k
Chanseok Shin South Korea 27 5.9k 1.1× 4.2k 0.9× 521 1.2× 784 2.9× 296 1.4× 61 7.3k
Partha Pratim Das United States 18 3.5k 0.6× 2.7k 0.6× 913 2.1× 322 1.2× 298 1.4× 36 4.8k
Ligang Wu China 28 3.9k 0.7× 2.2k 0.5× 321 0.7× 394 1.5× 274 1.3× 75 4.7k

Countries citing papers authored by Azra Krek

Since Specialization
Citations

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

Fields of papers citing papers by Azra Krek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azra Krek

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

All Works

9 of 9 papers shown
1.
Wang, Minghui, Won‐Min Song, Ming Chen, et al.. (2022). Guidelines for bioinformatics of single-cell sequencing data analysis in Alzheimer’s disease: review, recommendation, implementation and application. Molecular Neurodegeneration. 17(1). 17–17. 57 indexed citations
2.
Bruno, Ludovica, Thomas Carroll, James I. Elliott, et al.. (2015). microRNAs Regulate Cell-to-Cell Variability of Endogenous Target Gene Expression in Developing Mouse Thymocytes. PLoS Genetics. 11(2). e1005020–e1005020. 17 indexed citations
3.
Landick, Robert, Azra Krek, Michael S. Glickman, Nicholas D. Socci, & Christina L. Stallings. (2014). Genome-wide mapping of the distribution of CarD, RNAP σA, and RNAP β on the Mycobacterium smegmatis chromosome using chromatin immunoprecipitation sequencing. Genomics Data. 2. 110–113. 13 indexed citations
4.
Rapaport, Franck, Raya Khanin, Yupu Liang, et al.. (2013). Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data. Genome biology. 14(9). R95–R95. 491 indexed citations breakdown →
5.
Koralov, Sergei B., Stefan A. Muljo, Gunther R. Galler, et al.. (2008). Dicer Ablation Affects Antibody Diversity and Cell Survival in the B Lymphocyte Lineage. Cell. 132(5). 860–874. 459 indexed citations
6.
Ender, Christine, Azra Krek, Marc R. Friedländer, et al.. (2008). A Human snoRNA with MicroRNA-Like Functions. Molecular Cell. 32(4). 519–528. 655 indexed citations breakdown →
7.
Lall, Sabbi, Dominic Grün, Azra Krek, et al.. (2006). A Genome-Wide Map of Conserved MicroRNA Targets in C. elegans. Current Biology. 16(5). 460–471. 345 indexed citations
8.
Sood, Pranidhi, Azra Krek, Mihaela Zavolan, Giuseppe Macino, & Nikolaus Rajewsky. (2006). Cell-type-specific signatures of microRNAs on target mRNA expression. Proceedings of the National Academy of Sciences. 103(8). 2746–2751. 514 indexed citations breakdown →
9.
Krek, Azra, Dominic Grün, Matthew N. Poy, et al.. (2005). Combinatorial microRNA target predictions. Nature Genetics. 37(5). 495–500. 3783 indexed citations breakdown →

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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