Michael Beckstette

4.4k total citations
44 papers, 1.3k citations indexed

About

Michael Beckstette is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Michael Beckstette has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Immunology and 9 papers in Genetics. Recurrent topics in Michael Beckstette's work include Genomics and Phylogenetic Studies (13 papers), Immune Cell Function and Interaction (9 papers) and RNA and protein synthesis mechanisms (7 papers). Michael Beckstette is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Immune Cell Function and Interaction (9 papers) and RNA and protein synthesis mechanisms (7 papers). Michael Beckstette collaborates with scholars based in Germany, Switzerland and United States. Michael Beckstette's co-authors include Petra Dersch, Stefan Kurtz, Jochen Huehn, Aaron M. Nuss, Ann Kathrin Heroven, Robert Giegerich, Stefan Floess, Joern Pezoldt, Matthias Lochner and Sebastian Suerbaum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Michael Beckstette

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Beckstette Germany 19 617 390 276 156 93 44 1.3k
Michiaki Masuda Japan 19 510 0.8× 210 0.5× 139 0.5× 120 0.8× 90 1.0× 60 1.1k
Dan Xu China 23 596 1.0× 818 2.1× 201 0.7× 64 0.4× 90 1.0× 106 1.8k
Antje Munder Germany 19 726 1.2× 184 0.5× 193 0.7× 59 0.4× 148 1.6× 39 1.2k
Kaixiang Zhu China 15 518 0.8× 231 0.6× 137 0.5× 273 1.8× 148 1.6× 35 1.1k
Gunther Spohn Italy 24 631 1.0× 524 1.3× 217 0.8× 287 1.8× 71 0.8× 30 1.6k
Maiko Sasaki United States 19 688 1.1× 200 0.5× 231 0.8× 160 1.0× 176 1.9× 36 1.3k
Kuppamuthu Dharmalingam India 21 559 0.9× 173 0.4× 201 0.7× 216 1.4× 32 0.3× 78 1.2k
Amit Lahiri India 21 397 0.6× 383 1.0× 138 0.5× 191 1.2× 175 1.9× 32 1.2k
Vijayaraj Nagarajan United States 20 671 1.1× 218 0.6× 189 0.7× 245 1.6× 22 0.2× 43 1.3k
Mei G. Lei United States 24 829 1.3× 587 1.5× 149 0.5× 413 2.6× 59 0.6× 46 1.6k

Countries citing papers authored by Michael Beckstette

Since Specialization
Citations

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

Fields of papers citing papers by Michael Beckstette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Beckstette

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Beckstette. A scholar is included among the top collaborators of Michael Beckstette 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 Michael Beckstette. Michael Beckstette 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.
Rohde, Manfred, et al.. (2024). RNase-mediated reprogramming of Yersinia virulence. PLoS Pathogens. 20(8). e1011965–e1011965. 2 indexed citations
2.
Hassa, Julia, Irena Maus, Robert Heyer, et al.. (2023). Uncovering Microbiome Adaptations in a Full-Scale Biogas Plant: Insights from MAG-Centric Metagenomics and Metaproteomics. Microorganisms. 11(10). 2412–2412. 9 indexed citations
3.
Fu, Chengzhang, Matthias Steglich, Boyke Bunk, et al.. (2023). Bursts in biosynthetic gene cluster transcription are accompanied by surges of natural compound production in the myxobacterium Sorangium sp.. Microbial Biotechnology. 16(5). 1054–1068. 4 indexed citations
4.
Pezoldt, Joern, Mangge Zou, Maria Litovchenko, et al.. (2022). Postnatal expansion of mesenteric lymph node stromal cells towards reticular and CD34+ stromal cell subsets. Nature Communications. 13(1). 7227–7227. 8 indexed citations
5.
Beckstette, Michael, Aaron Ochel, Katrin Neumann, et al.. (2022). Profiling of epigenetic marker regions in murine ILCs under homeostatic and inflammatory conditions. The Journal of Experimental Medicine. 219(10). 9 indexed citations
6.
Brandt, David, Tobias Busche, Markus Haak, et al.. (2021). Multiple Occurrences of a 168-Nucleotide Deletion in SARS-CoV-2 ORF8, Unnoticed by Standard Amplicon Sequencing and Variant Calling Pipelines. Viruses. 13(9). 1870–1870. 6 indexed citations
7.
Pezoldt, Joern, Florian Erhard, Ulfert Rand, et al.. (2021). Single-cell transcriptional profiling of splenic fibroblasts reveals subset-specific innate immune signatures in homeostasis and during viral infection. Communications Biology. 4(1). 1355–1355. 15 indexed citations
8.
Zou, Mangge, Eric J. C. Gálvez, Michael Beckstette, et al.. (2021). The microbiota is dispensable for the early stages of peripheral regulatory T cell induction within mesenteric lymph nodes. Cellular and Molecular Immunology. 18(5). 1211–1221. 24 indexed citations
9.
10.
Beckert, Bertrand, Christian K. Frese, Wieland Steinchen, et al.. (2020). The alarmones (p)ppGpp are part of the heat shock response of Bacillus subtilis. PLoS Genetics. 16(3). e1008275–e1008275. 50 indexed citations
11.
12.
Heroven, Ann Kathrin, et al.. (2019). Discovering Yersinia–Host Interactions by Tissue Dual RNA-Seq. Methods in molecular biology. 2010. 99–116. 6 indexed citations
13.
Neumann‐Schaal, Meina, Nicole G. Metzendorf, Aaron M. Nuss, et al.. (2018). Tracking gene expression and oxidative damage of O2-stressed Clostridioides difficile by a multi-omics approach. Anaerobe. 53. 94–107. 21 indexed citations
14.
Nuss, Aaron M., et al.. (2017). Tissue dual RNA-seq allows fast discovery of infection-specific functions and riboregulators shaping host–pathogen transcriptomes. Proceedings of the National Academy of Sciences. 114(5). E791–E800. 118 indexed citations
15.
Yang, Bi-Huei, Stefanie Hagemann, Panagiota Mamareli, et al.. (2015). Foxp3+ T cells expressing RORγt represent a stable regulatory T-cell effector lineage with enhanced suppressive capacity during intestinal inflammation. Mucosal Immunology. 9(2). 444–457. 322 indexed citations
16.
Meyer, Fernando, Stefan Kurtz, Rolf Backofen, Sebastian Will, & Michael Beckstette. (2011). Structator: fast index-based search for RNA sequence-structure patterns. BMC Bioinformatics. 12(1). 214–214. 20 indexed citations
17.
Sczyrba, Alexander, Michael Beckstette, Ali H. Brivanlou, Robert Giegerich, & Curtis R. Altmann. (2005). XenDB: Full length cDNA prediction and cross species mapping in Xenopus laevis. BMC Genomics. 6(1). 123–123. 4 indexed citations
18.
Beckstette, Michael, et al.. (2004). PoSSuMsearch: Fast and sensitive matching of position specific scoring matrices using enhanced suffix arrays. PUB – Publications at Bielefeld University (Bielefeld University). 53–64. 20 indexed citations
19.
Sczyrba, Alexander, et al.. (2004). Identification of 10,500 Xenopus laevis Full Length Clones through EST Clustering and Sequence Analysis. PUB – Publications at Bielefeld University (Bielefeld University).
20.
Beckstette, Michael, Alexander Sczyrba, & Paul M. Selzer. (2004). Genlight: An interactive system for high-throughput sequence analysis and comparative genomics. 179–185. 1 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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