Andreas Schlundt

2.0k total citations
52 papers, 997 citations indexed

About

Andreas Schlundt is a scholar working on Molecular Biology, Infectious Diseases and Civil and Structural Engineering. According to data from OpenAlex, Andreas Schlundt has authored 52 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Infectious Diseases and 6 papers in Civil and Structural Engineering. Recurrent topics in Andreas Schlundt's work include RNA and protein synthesis mechanisms (29 papers), RNA Research and Splicing (21 papers) and RNA modifications and cancer (16 papers). Andreas Schlundt is often cited by papers focused on RNA and protein synthesis mechanisms (29 papers), RNA Research and Splicing (21 papers) and RNA modifications and cancer (16 papers). Andreas Schlundt collaborates with scholars based in Germany, Singapore and Spain. Andreas Schlundt's co-authors include Michael Sattler, Sophie Marianne Korn, Dierk Niessing, Jan‐Niklas Tants, Christian Freund, Robert Janowski, Ralf Stehle, Jana Sticht, Sebastian Günther and Vigo Heissmeyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Andreas Schlundt

44 papers receiving 989 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Schlundt Germany 20 727 173 120 101 79 52 997
Peter Májek Austria 16 952 1.3× 148 0.9× 97 0.8× 69 0.7× 58 0.7× 24 1.3k
Agnel Praveen Joseph United Kingdom 22 963 1.3× 83 0.5× 21 0.2× 57 0.6× 44 0.6× 51 1.3k
Marie‐Laure Fogeron France 16 295 0.4× 57 0.3× 39 0.3× 144 1.4× 22 0.3× 38 597
Takuhiro Ito Japan 26 1.4k 2.0× 81 0.5× 42 0.3× 40 0.4× 27 0.3× 58 1.7k
Holly Gratkowski United States 9 955 1.3× 97 0.6× 21 0.2× 84 0.8× 52 0.7× 10 1.2k
Avi J. Samelson United States 7 1.0k 1.4× 60 0.3× 33 0.3× 66 0.7× 36 0.5× 9 1.2k
Irina Bezsonova United States 23 1.1k 1.5× 66 0.4× 97 0.8× 210 2.1× 35 0.4× 47 1.3k
V. Falconieri United States 8 793 1.1× 50 0.3× 26 0.2× 33 0.3× 60 0.8× 9 1.1k
Juliette M. Devos France 13 438 0.6× 171 1.0× 41 0.3× 56 0.6× 17 0.2× 25 710
Glen B. Legge United States 15 661 0.9× 244 1.4× 79 0.7× 40 0.4× 16 0.2× 19 1.0k

Countries citing papers authored by Andreas Schlundt

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schlundt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Schlundt

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Schlundt. A scholar is included among the top collaborators of Andreas Schlundt 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 Andreas Schlundt. Andreas Schlundt 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.
Dhamotharan, Karthikeyan, Pavel Kielkowski, Tess E. Brewer, et al.. (2024). EF-P and its paralog EfpL (YeiP) differentially control translation of proline-containing sequences. Nature Communications. 15(1). 10465–10465. 1 indexed citations
2.
Tants, Jan‐Niklas, et al.. (2024). Comprehensive Profiling of Roquin Binding Preferences for RNA Stem‐Loops. Angewandte Chemie International Edition. 63(50). e202412596–e202412596.
3.
Korn, Sophie Marianne, et al.. (2023). 1H, 13C, 15N backbone chemical shift assignments of the extended ARID domain in human AT-rich interactive domain protein 5a (Arid5a). Biomolecular NMR Assignments. 17(1). 121–127. 1 indexed citations
4.
Korn, Sophie Marianne, et al.. (2023). Insight into the Structural Basis for Dual Nucleic Acid—Recognition by the Scaffold Attachment Factor B2 Protein. International Journal of Molecular Sciences. 24(4). 3286–3286. 2 indexed citations
5.
Tants, Jan‐Niklas & Andreas Schlundt. (2023). Advances, Applications, and Perspectives in Small‐Angle X‐ray Scattering of RNA. ChemBioChem. 24(17). e202300110–e202300110. 14 indexed citations
6.
Korn, Sophie Marianne, Karthikeyan Dhamotharan, Cy M. Jeffries, & Andreas Schlundt. (2023). The preference signature of the SARS-CoV-2 Nucleocapsid NTD for its 5’-genomic RNA elements. Nature Communications. 14(1). 3331–3331. 31 indexed citations
7.
Salvi, Nicola, Luiza M. Bessa, Serafima Guseva, et al.. (2021). 1H, 13C and 15N backbone chemical shift assignments of SARS-CoV-2 nsp3a. Biomolecular NMR Assignments. 15(1). 173–176. 4 indexed citations
8.
Korn, Sophie Marianne, Karthikeyan Dhamotharan, Boris Fürtig, et al.. (2020). 1H, 13C, and 15N backbone chemical shift assignments of the nucleic acid-binding domain of SARS-CoV-2 non-structural protein 3e. Biomolecular NMR Assignments. 14(2). 329–333. 4 indexed citations
9.
Binas, Oliver, Jan‐Niklas Tants, Robert Janowski, et al.. (2020). Structural basis for the recognition of transiently structured AU-rich elements by Roquin. Nucleic Acids Research. 48(13). 7385–7403. 15 indexed citations
10.
Korn, Sophie Marianne, Boris Fürtig, Martin Hengesbach, et al.. (2020). 1H, 13C, and 15N backbone chemical shift assignments of the C-terminal dimerization domain of SARS-CoV-2 nucleocapsid protein. Biomolecular NMR Assignments. 15(1). 129–135. 15 indexed citations
11.
Schneider, Tim, Robert Janowski, Simon Müller, et al.. (2019). Combinatorial recognition of clustered RNA elements by the multidomain RNA-binding protein IMP3. Nature Communications. 10(1). 2266–2266. 64 indexed citations
12.
Essig, Katharina, Joao C. Guimaraes, Claudia Lohs, et al.. (2018). Roquin targets mRNAs in a 3′-UTR-specific manner by different modes of regulation. Nature Communications. 9(1). 3810–3810. 41 indexed citations
13.
Schlundt, Andreas, Robert Janowski, Ralf Heermann, et al.. (2017). Structure-function analysis of the DNA-binding domain of a transmembrane transcriptional activator. Scientific Reports. 7(1). 1051–1051. 31 indexed citations
14.
Schlundt, Andreas, Roland G. Heym, Andreas Jenner, et al.. (2017). Molecular architecture and dynamics of ASH1 mRNA recognition by its mRNA-transport complex. Nature Structural & Molecular Biology. 24(2). 152–161. 38 indexed citations
15.
Janowski, Robert, Gitta Anne Heinz, Andreas Schlundt, et al.. (2016). Roquin recognizes a non-canonical hexaloop structure in the 3′-UTR of Ox40. Nature Communications. 7(1). 11032–11032. 41 indexed citations
16.
Schlundt, Andreas. (2013). Heiße Bemessung von Mauerwerk nach Eurocode 6. Mauerwerk. 17(5). 317–320.
17.
18.
Schlundt, Andreas, et al.. (2010). Zukünftige Brandschutzbemessung von schlanken Kalksandstein‐Wänden mit deutlich höheren Auflasten. Mauerwerk. 14(5). 266–270. 1 indexed citations
19.
Schlundt, Andreas, Jana Sticht, Kirill Piotukh, et al.. (2009). Proline-rich Sequence Recognition. Molecular & Cellular Proteomics. 8(11). 2474–2486. 22 indexed citations
20.
Schlundt, Andreas. (2007). Vereinfachtes Berechnungsverfahren nach DIN 1053‐100. Mauerwerk. 11(1). 42–47. 2 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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