Stephanie Kath‐Schorr

922 total citations
29 papers, 690 citations indexed

About

Stephanie Kath‐Schorr is a scholar working on Molecular Biology, Organic Chemistry and Biophysics. According to data from OpenAlex, Stephanie Kath‐Schorr has authored 29 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 7 papers in Organic Chemistry and 5 papers in Biophysics. Recurrent topics in Stephanie Kath‐Schorr's work include DNA and Nucleic Acid Chemistry (17 papers), RNA and protein synthesis mechanisms (12 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Stephanie Kath‐Schorr is often cited by papers focused on DNA and Nucleic Acid Chemistry (17 papers), RNA and protein synthesis mechanisms (12 papers) and Advanced biosensing and bioanalysis techniques (11 papers). Stephanie Kath‐Schorr collaborates with scholars based in Germany, United States and United Kingdom. Stephanie Kath‐Schorr's co-authors include Frank Eggert, David M.J. Lilley, Timothy J. Wilson, Thomas Carell, Sabine Schneider, Eva R. Hoffmann, Thomas Reißner, Joseph A. Piccirilli, Jun Lu and Yijin Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Stephanie Kath‐Schorr

27 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie Kath‐Schorr Germany 16 586 162 66 47 37 29 690
Gosuke Hayashi Japan 18 794 1.4× 213 1.3× 24 0.4× 81 1.7× 42 1.1× 57 948
K.D. Warner United States 4 930 1.6× 55 0.3× 27 0.4× 39 0.8× 48 1.3× 6 987
Gemma Estrada Girona Germany 9 602 1.0× 216 1.3× 97 1.5× 122 2.6× 40 1.1× 10 734
James J. Kirchner United States 10 383 0.7× 103 0.6× 79 1.2× 57 1.2× 20 0.5× 13 550
Emmanuelle Billon-Denis France 10 322 0.5× 83 0.5× 86 1.3× 35 0.7× 36 1.0× 13 500
You Korlann United States 5 435 0.7× 80 0.5× 136 2.1× 35 0.7× 116 3.1× 5 535
Filip Wojciechowski Canada 16 587 1.0× 108 0.7× 85 1.3× 199 4.2× 11 0.3× 27 800
Jared D. Moon United States 6 808 1.4× 53 0.3× 63 1.0× 36 0.8× 40 1.1× 7 857
Søren Preus Denmark 14 620 1.1× 80 0.5× 78 1.2× 114 2.4× 20 0.5× 19 727
Ulrike Rieder Switzerland 13 742 1.3× 228 1.4× 23 0.3× 28 0.6× 79 2.1× 13 800

Countries citing papers authored by Stephanie Kath‐Schorr

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Kath‐Schorr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie Kath‐Schorr. 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 Stephanie Kath‐Schorr. The network helps show where Stephanie Kath‐Schorr may publish in the future.

Co-authorship network of co-authors of Stephanie Kath‐Schorr

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Kath‐Schorr. A scholar is included among the top collaborators of Stephanie Kath‐Schorr 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 Stephanie Kath‐Schorr. Stephanie Kath‐Schorr 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.
Kath‐Schorr, Stephanie, et al.. (2025). UV Resonance Raman Spectroscopic Marker Bands of Base Pair Formation During Nucleic Acids Assembly. The Journal of Physical Chemistry Letters. 16(40). 10390–10399.
2.
Caixeiro, Soraya, et al.. (2025). DNA Sensing with Whispering Gallery Mode Microlasers. Nano Letters. 25(11). 4467–4475. 2 indexed citations
3.
Soldà, Alice, et al.. (2024). Reverse transcription as key step in RNA in vitro evolution with unnatural base pairs. RSC Chemical Biology. 5(6). 556–566.
4.
Kath‐Schorr, Stephanie, et al.. (2024). Expanding the Horizon of the Xeno Nucleic Acid Space: Threose Nucleic Acids with Increased Information Storage. Journal of the American Chemical Society. 146(11). 7743–7751. 6 indexed citations
5.
Kath‐Schorr, Stephanie, et al.. (2023). Two are not enough: synthetic strategies and applications of unnatural base pairs. Biological Chemistry. 404(10). 883–896. 5 indexed citations
6.
Kath‐Schorr, Stephanie, et al.. (2022). Stronger together for in-cell translation: natural and unnatural base modified mRNA. Chemical Science. 13(17). 4753–4761. 28 indexed citations
7.
Hoffmann, Eva R., et al.. (2021). Strategies for Covalent Labeling of Long RNAs. ChemBioChem. 22(19). 2826–2847. 41 indexed citations
8.
Eggert, Frank, et al.. (2020). EPR Distance Measurements on Long Non‐coding RNAs Empowered by Genetic Alphabet Expansion Transcription. Angewandte Chemie International Edition. 59(20). 7891–7896. 30 indexed citations
9.
Eggert, Frank, et al.. (2020). EPR Distance Measurements on Long Non‐coding RNAs Empowered by Genetic Alphabet Expansion Transcription. Angewandte Chemie. 132(20). 7965–7970. 7 indexed citations
10.
Abdullin, Dinar, et al.. (2019). Site-Directed Spin Labeling of RNA with a Gem-Diethylisoindoline Spin Label: PELDOR, Relaxation, and Reduction Stability. Molecules. 24(24). 4482–4482. 19 indexed citations
11.
Eggert, Frank, et al.. (2019). Towards Reverse Transcription with an Expanded Genetic Alphabet. ChemBioChem. 20(13). 1642–1645. 12 indexed citations
12.
Hagelueken, Gregor, et al.. (2018). Posttranscriptional spin labeling of RNA by tetrazine-based cycloaddition. Organic & Biomolecular Chemistry. 17(7). 1805–1808. 16 indexed citations
13.
Wiemann, Jasmina, Philipp N. Sander, Marion Schneider, et al.. (2017). Dinosaur origin of egg color: oviraptors laid blue-green eggs. PeerJ. 5. e3706–e3706. 36 indexed citations
14.
15.
Eggert, Frank & Stephanie Kath‐Schorr. (2016). A cyclopropene-modified nucleotide for site-specific RNA labeling using genetic alphabet expansion transcription. Chemical Communications. 52(45). 7284–7287. 57 indexed citations
16.
Eggert, Frank, et al.. (2015). Site-specific enzymatic introduction of a norbornene modified unnatural base into RNA and application in post-transcriptional labeling. Chemical Communications. 51(39). 8253–8256. 54 indexed citations
17.
Kath‐Schorr, Stephanie. (2015). Cycloadditions for Studying Nucleic Acids. Topics in Current Chemistry. 374(1). 4–4. 14 indexed citations
18.
Kath‐Schorr, Stephanie, Timothy J. Wilson, Nan‐Sheng Li, et al.. (2012). General Acid–Base Catalysis Mediated by Nucleobases in the Hairpin Ribozyme. Journal of the American Chemical Society. 134(40). 16717–16724. 68 indexed citations
19.
Kath‐Schorr, Stephanie & Thomas Carell. (2010). Mechanism of Acetylaminofluorene‐dG Induced Frameshifting by Polymerase η. ChemBioChem. 11(18). 2534–2537. 10 indexed citations
20.
Schneider, Sabine, Stephanie Kath‐Schorr, & Thomas Carell. (2009). Crystal structure analysis of DNA lesion repair and tolerance mechanisms. Current Opinion in Structural Biology. 19(1). 87–95. 18 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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