Christine Ender

2.2k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Christine Ender is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Christine Ender has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Christine Ender's work include RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers) and MicroRNA in disease regulation (4 papers). Christine Ender is often cited by papers focused on RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers) and MicroRNA in disease regulation (4 papers). Christine Ender collaborates with scholars based in Germany, United States and United Kingdom. Christine Ender's co-authors include Gunter Meister, Lasse Weinmann, Michaela Beitzinger, Azra Krek, Wei Chen, Marc R. Friedländer, Sébastien Pfeffer, Nikolaus Rajewsky, Patrick S. Moore and Yuan Chang and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Molecular Cell.

In The Last Decade

Christine Ender

10 papers receiving 1.6k citations

Hit Papers

A Human snoRNA with MicroRNA-Like Functions 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine Ender Germany 9 1.5k 880 143 80 76 10 1.6k
Carlos Rovira Sweden 17 1.3k 0.9× 747 0.8× 129 0.9× 93 1.2× 98 1.3× 36 1.6k
Lasse Weinmann Germany 10 2.0k 1.4× 1.1k 1.2× 106 0.7× 170 2.1× 95 1.3× 10 2.2k
Vamsi K. Gangaraju United States 13 1.2k 0.8× 664 0.8× 139 1.0× 78 1.0× 58 0.8× 18 1.5k
Nicolas Cougot France 11 2.1k 1.4× 797 0.9× 109 0.8× 34 0.4× 91 1.2× 11 2.3k
Greg Wardle United States 5 2.8k 1.9× 1.3k 1.5× 118 0.8× 57 0.7× 121 1.6× 5 2.9k
Evgeny A. Glazov Australia 15 1.3k 0.9× 797 0.9× 165 1.2× 54 0.7× 119 1.6× 18 1.6k
V Narry Kim South Korea 10 1.6k 1.0× 1.1k 1.2× 126 0.9× 42 0.5× 110 1.4× 11 1.8k
Michaela Beitzinger Germany 11 1.2k 0.8× 774 0.9× 77 0.5× 204 2.5× 63 0.8× 12 1.4k
Alexander Ulrich Germany 11 2.5k 1.7× 1.2k 1.3× 55 0.4× 62 0.8× 116 1.5× 15 2.7k
Marshall Thomas United States 7 1.2k 0.8× 397 0.5× 74 0.5× 31 0.4× 84 1.1× 7 1.4k

Countries citing papers authored by Christine Ender

Since Specialization
Citations

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

Fields of papers citing papers by Christine Ender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Ender

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

All Works

10 of 10 papers shown
1.
Vanichkina, Darya, Christine Ender, Joanna Crawford, et al.. (2017). Identification of miR-29b targets using 3-cyanovinylcarbazole containing mimics. RNA. 24(4). 597–608. 7 indexed citations
2.
Bulstrode, Harry, María Ángeles Marqués‐Torrejón, Kirsty M. Ferguson, et al.. (2017). Elevated FOXG1 and SOX2 in glioblastoma enforces neural stem cell identity through transcriptional control of cell cycle and epigenetic regulators. Genes & Development. 31(8). 757–773. 92 indexed citations
3.
Okawa, Satoshi, Sladjana Gagrica, Carla Blin, et al.. (2016). Proteome and Secretome Characterization of Glioblastoma-Derived Neural Stem Cells. Stem Cells. 35(4). 967–980. 34 indexed citations
4.
Danovi, Davide, Amos Folarin, Sabine Gogolok, et al.. (2013). A High-Content Small Molecule Screen Identifies Sensitivity of Glioblastoma Stem Cells to Inhibition of Polo-Like Kinase 1. PLoS ONE. 8(10). e77053–e77053. 48 indexed citations
6.
Li, Zhihua, Christine Ender, Gunter Meister, et al.. (2012). Extensive terminal and asymmetric processing of small RNAs from rRNAs, snoRNAs, snRNAs, and tRNAs. Nucleic Acids Research. 40(14). 6787–6799. 264 indexed citations
7.
Valen, Eivind, Pascal Preker, Peter Refsing Andersen, et al.. (2011). Biogenic mechanisms and utilization of small RNAs derived from human protein-coding genes. Nature Structural & Molecular Biology. 18(9). 1075–1082. 80 indexed citations
8.
Ender, Christine & Gunter Meister. (2010). Argonaute proteins at a glance. Journal of Cell Science. 123(11). 1819–1823. 144 indexed citations
9.
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 →
10.
Höck, Julia, Lasse Weinmann, Christine Ender, et al.. (2007). Proteomic and functional analysis of Argonaute‐containing mRNA–protein complexes in human cells. EMBO Reports. 8(11). 1052–1060. 280 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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