Norbert Eichner

1.6k total citations
22 papers, 607 citations indexed

About

Norbert Eichner is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Norbert Eichner has authored 22 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Norbert Eichner's work include MicroRNA in disease regulation (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (5 papers). Norbert Eichner is often cited by papers focused on MicroRNA in disease regulation (8 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (5 papers). Norbert Eichner collaborates with scholars based in Germany, Switzerland and Netherlands. Norbert Eichner's co-authors include Gunter Meister, Ingrid M. Weiss, Veronika Schönitzer, G. Lehmann, Manfred Sumper, Nora Treiber, Henning Urlaub, Uwe Plessmann, Kevin Schall and Thomas Treiber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Norbert Eichner

22 papers receiving 601 citations

Peers

Norbert Eichner
Jérôme Thomas Switzerland
Julie Huxley‐Jones United Kingdom
Julien Cau France
Mi Zhao China
Artur Veloso United States
Federico Gaiti Australia
Norbert Eichner
Citations per year, relative to Norbert Eichner Norbert Eichner (= 1×) peers Lumi Negishi

Countries citing papers authored by Norbert Eichner

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Eichner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norbert Eichner

This figure shows the co-authorship network connecting the top 25 collaborators of Norbert Eichner. A scholar is included among the top collaborators of Norbert Eichner 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 Norbert Eichner. Norbert Eichner 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.
Narbonne-Reveau, Karine, Norbert Eichner, Sanjay Kapoor, et al.. (2025). In vivo AGO-APP identifies a module of microRNAs cooperatively preserving neural progenitors. PLoS Genetics. 21(4). e1011680–e1011680. 1 indexed citations
2.
Treiber, Nora, Thomas Treiber, G. Lehmann, et al.. (2024). Endo-bind-n-seq: identifying RNA motifs of RNA binding proteins isolated from endogenous sources. Life Science Alliance. 8(2). e202402782–e202402782. 1 indexed citations
3.
Eichner, Norbert, et al.. (2024). Ago4-piRNA complex is a key component of genomic immune system against transposon expression in Penaeus monodon. Fish & Shellfish Immunology. 151. 109693–109693. 1 indexed citations
4.
Lehmann, G., Norbert Eichner, Jie Wu, et al.. (2023). A rapid protocol for ribosome profiling of low input samples. Nucleic Acids Research. 51(13). e68–e68. 3 indexed citations
5.
Rópolo, Andrea S., et al.. (2023). The Exosome-like Vesicles of Giardia Assemblages A, B, and E Are Involved in the Delivering of Distinct Small RNA from Parasite to Parasite. International Journal of Molecular Sciences. 24(11). 9559–9559. 13 indexed citations
6.
Meyer, Katharina, Julia C. Engelmann, Rainer Spang, et al.. (2021). Learning from Embryogenesis—A Comparative Expression Analysis in Melanoblast Differentiation and Tumorigenesis Reveals miRNAs Driving Melanoma Development. Journal of Clinical Medicine. 10(11). 2259–2259. 5 indexed citations
7.
Lehmann, G., Norbert Eichner, Tino Polen, et al.. (2019). Library Selection with a Randomized Repertoire of (βα)8-Barrel Enzymes Results in Unexpected Induction of Gene Expression. Biochemistry. 58(41). 4207–4217. 1 indexed citations
8.
Eichner, Norbert, et al.. (2018). MicroRNA-sequencing data analyzing melanoma development and progression. Experimental and Molecular Pathology. 105(3). 371–379. 14 indexed citations
9.
Rohde, Markus, Inga Sinicina, Anja K. E. Horn, et al.. (2018). MicroRNA profile of human endo-/perilymph. Journal of Neurology. 265(S1). 26–28. 4 indexed citations
10.
Roßbach, Oliver, G. Lehmann, Norbert Eichner, et al.. (2018). DrosophilaSister-of-Sex-lethal reinforces a male-specific gene expression pattern by controllingSex-lethalalternative splicing. Nucleic Acids Research. 47(5). 2276–2288. 15 indexed citations
11.
Szczyrba, Jaroslaw, Volker Jung, Michaela Beitzinger, et al.. (2017). Analysis of Argonaute Complex Bound mRNAs in DU145 Prostate Carcinoma Cells Reveals New miRNA Target Genes. SHILAP Revista de lepidopterología. 2017. 1–12. 4 indexed citations
12.
Treiber, Thomas, Nora Treiber, Uwe Plessmann, et al.. (2017). A Compendium of RNA-Binding Proteins that Regulate MicroRNA Biogenesis. Molecular Cell. 66(2). 270–284.e13. 232 indexed citations
13.
Pöll, Gisela, Christian Müller, Malena Bodden, et al.. (2017). Structural transitions during large ribosomal subunit maturation analyzed by tethered nuclease structure probing in S. cerevisiae. PLoS ONE. 12(7). e0179405–e0179405. 4 indexed citations
14.
Dueck, Anne, M. Evers, Stefan R. Henz, et al.. (2016). Gene silencing pathways found in the green alga Volvox carteri reveal insights into evolution and origins of small RNA systems in plants. BMC Genomics. 17(1). 853–853. 12 indexed citations
15.
Hünten, Sabine, Markus Kaller, Friedel Drepper, et al.. (2015). p53-Regulated Networks of Protein, mRNA, miRNA, and lncRNA Expression Revealed by Integrated Pulsed Stable Isotope Labeling With Amino Acids in Cell Culture (pSILAC) and Next Generation Sequencing (NGS) Analyses. Molecular & Cellular Proteomics. 14(10). 2609–2629. 57 indexed citations
16.
Hauptmann, Judith, Daniel Schraivogel, Astrid Bruckmann, et al.. (2015). Biochemical isolation of Argonaute protein complexes by Ago-APP. Proceedings of the National Academy of Sciences. 112(38). 11841–11845. 58 indexed citations
17.
Alles, Julia, Daniele Hasler, Syed Mohammad Ali Kazmi, et al.. (2015). Epstein-Barr Virus EBER Transcripts Affect miRNA-Mediated Regulation of Specific Targets and Are Processed to Small RNA Species. Non-Coding RNA. 1(3). 170–191. 7 indexed citations
18.
Weiss, Ingrid M., et al.. (2013). On the function of chitin synthase extracellular domains in biomineralization. Journal of Structural Biology. 183(2). 216–225. 25 indexed citations
19.
Schönitzer, Veronika, Norbert Eichner, Hauke Clausen‐Schaumann, & Ingrid M. Weiss. (2011). Transmembrane myosin chitin synthase involved in mollusc shell formation produced in Dictyostelium is active. Biochemical and Biophysical Research Communications. 415(4). 586–590. 10 indexed citations
20.
Weiss, Ingrid M., Veronika Schönitzer, Norbert Eichner, & Manfred Sumper. (2006). The chitin synthase involved in marine bivalve mollusk shell formation contains a myosin domain. FEBS Letters. 580(7). 1846–1852. 107 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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