Anika Erxleben

1.1k total citations
20 papers, 606 citations indexed

About

Anika Erxleben is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Anika Erxleben has authored 20 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Plant Science. Recurrent topics in Anika Erxleben's work include Microbial Natural Products and Biosynthesis (6 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (3 papers). Anika Erxleben is often cited by papers focused on Microbial Natural Products and Biosynthesis (6 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (3 papers). Anika Erxleben collaborates with scholars based in Germany, United States and Austria. Anika Erxleben's co-authors include Ralf Reski, Stefan Günther, Björn Grüning, Eric Sarnighausen, Alain Van Dorsselaer, Dimitri Heintz, Xavier Lucas, Franziska S. Peters, Matthias Boll and Arthur Geßler and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Anika Erxleben

20 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anika Erxleben Germany 11 355 156 139 84 55 20 606
Xu Feng China 16 460 1.3× 247 1.6× 107 0.8× 114 1.4× 44 0.8× 52 952
Jinyan Dong China 14 144 0.4× 199 1.3× 221 1.6× 48 0.6× 38 0.7× 25 631
Thomas D. Niehaus United States 19 807 2.3× 123 0.8× 64 0.5× 13 0.2× 54 1.0× 32 1.0k
Paul Holloway Canada 13 246 0.7× 85 0.5× 46 0.3× 85 1.0× 111 2.0× 18 469
Ludovic Le Hégarat France 20 391 1.1× 314 2.0× 27 0.2× 122 1.5× 55 1.0× 54 1.2k
Yuko Momose Japan 16 582 1.6× 139 0.9× 22 0.2× 71 0.8× 24 0.4× 27 928
Léonie M. Raamsdonk Netherlands 8 935 2.6× 151 1.0× 97 0.7× 11 0.1× 53 1.0× 11 1.1k
Fengbin Song United States 13 201 0.6× 179 1.1× 89 0.6× 8 0.1× 32 0.6× 36 774
Xinhua Lu China 19 501 1.4× 89 0.6× 327 2.4× 9 0.1× 60 1.1× 71 972
Sunmi Kang South Korea 14 470 1.3× 138 0.9× 69 0.5× 23 0.3× 25 0.5× 27 710

Countries citing papers authored by Anika Erxleben

Since Specialization
Citations

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

Fields of papers citing papers by Anika Erxleben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anika Erxleben

This figure shows the co-authorship network connecting the top 25 collaborators of Anika Erxleben. A scholar is included among the top collaborators of Anika Erxleben 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 Anika Erxleben. Anika Erxleben 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.
Serrano‐Solano, Beatriz, Melanie Christine Föll, Cristóbal Gallardo Alba, et al.. (2021). Fostering accessible online education using Galaxy as an e-learning platform. PLoS Computational Biology. 17(5). e1008923–e1008923. 8 indexed citations
2.
Thriene, Kerstin, Björn Grüning, Olivier Bornert, et al.. (2018). Combinatorial Omics Analysis Reveals Perturbed Lysosomal Homeostasis in Collagen VII-deficient Keratinocytes. Molecular & Cellular Proteomics. 17(4). 565–579. 23 indexed citations
3.
Grüning, Björn, Jörg Fallmann, Dilmurat Yusuf, et al.. (2017). The RNA workbench: best practices for RNA and high-throughput sequencing bioinformatics in Galaxy. Nucleic Acids Research. 45(W1). W560–W566. 29 indexed citations
4.
Backofen, Rolf, Jan Engelhardt, Anika Erxleben, et al.. (2017). RNA-bioinformatics: Tools, services and databases for the analysis of RNA-based regulation. Journal of Biotechnology. 261. 76–84. 20 indexed citations
5.
Lucas, Xavier, Anika Erxleben, Astrid C. Erber, et al.. (2015). StreptomeDB 2.0—an extended resource of natural products produced by streptomycetes. Nucleic Acids Research. 44(D1). D509–D514. 64 indexed citations
6.
Erxleben, Anika, et al.. (2014). Metabolic pathway monitoring of phenalinolactone biosynthesis from Streptomyces sp. Tü6071 by liquid chromatography/mass spectrometry coupling. Rapid Communications in Mass Spectrometry. 28(13). 1459–1467. 5 indexed citations
7.
Hiß, Manuel, Oliver Laule, Rasa Meskauskiene, et al.. (2014). Large‐scale gene expression profiling data for the model moss Physcomitrella patens aid understanding of developmental progression, culture and stress conditions. The Plant Journal. 79(3). 530–539. 60 indexed citations
8.
Schwer, Christian I., Sashko Spassov, Anika Erxleben, et al.. (2013). Thiopental Inhibits Global Protein Synthesis by Repression of Eukaryotic Elongation Factor 2 and Protects from Hypoxic Neuronal Cell Death. PLoS ONE. 8(10). e77258–e77258. 17 indexed citations
9.
Erxleben, Anika, et al.. (2013). Carbimazole Is an Inhibitor of Protein Synthesis and Protects from Neuronal Hypoxic Damage In Vitro. Journal of Pharmacology and Experimental Therapeutics. 347(3). 781–793. 8 indexed citations
10.
Grüning, Björn, et al.. (2013). Draft Genome Sequence of Streptomyces viridochromogenes Strain Tü57, Producer of Avilamycin. Genome Announcements. 1(3). 4 indexed citations
11.
Youssar, Loubna, Björn Grüning, Anika Erxleben, Stefan Günther, & Wolfgang Hüttel. (2012). Genome Sequence of the Fungus Glarea lozoyensis: the First Genome Sequence of a Species from the Helotiaceae Family. Eukaryotic Cell. 11(6). 829–829. 3 indexed citations
12.
Youssar, Loubna, Björn Grüning, Anika Erxleben, Stefan Günther, & Wolfgang Hüttel. (2012). Genome Sequence of the Fungus Glarea lozoyensis: the First Genome Sequence of a Species from the Helotiaceae Family. Eukaryotic Cell. 11(2). 250–250. 19 indexed citations
13.
Lucas, Xavier, et al.. (2012). StreptomeDB: a resource for natural compounds isolated from Streptomyces species. Nucleic Acids Research. 41(D1). D1130–D1136. 93 indexed citations
14.
Senger, Christian, et al.. (2012). Mining and evaluation of molecular relationships in literature. Bioinformatics. 28(5). 709–714. 7 indexed citations
15.
Erxleben, Anika, et al.. (2011). Metabolite profiling of the moss Physcomitrella patens reveals evolutionary conservation of osmoprotective substances. Plant Cell Reports. 31(2). 427–436. 62 indexed citations
16.
Erxleben, Anika, et al.. (2011). Genome Sequence of Streptomyces sp. Strain Tü6071. Journal of Bacteriology. 193(16). 4278–4279. 9 indexed citations
17.
Grüning, Björn, et al.. (2011). Compounds In Literature (CIL): screening for compounds and relatives in PubMed. Bioinformatics. 27(9). 1341–1342. 8 indexed citations
18.
Erxleben, Anika, et al.. (2006). High throughput metabolic screen ofPhyscomitrellatransformants. The Bryologist. 109(2). 247–256. 8 indexed citations
19.
Heintz, Dimitri, Anika Erxleben, Anthony A. High, et al.. (2006). Rapid Alteration of the Phosphoproteome in the Moss Physcomitrella patens after Cytokinin Treatment. Journal of Proteome Research. 5(9). 2283–2293. 28 indexed citations
20.
Heintz, Dimitri, Franziska S. Peters, Anika Erxleben, et al.. (2005). Gene clusters involved in anaerobic benzoate degradation of Geobacter metallireducens. Molecular Microbiology. 58(5). 1238–1252. 131 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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