Karol Szafranski

4.7k total citations
65 papers, 1.9k citations indexed

About

Karol Szafranski is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Karol Szafranski has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Paleontology. Recurrent topics in Karol Szafranski's work include RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (16 papers) and RNA modifications and cancer (14 papers). Karol Szafranski is often cited by papers focused on RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (16 papers) and RNA modifications and cancer (14 papers). Karol Szafranski collaborates with scholars based in Germany, United States and Austria. Karol Szafranski's co-authors include Matthias Platzer, Klaus Huse, Michael Hiller, Rolf Backofen, Stefan Schreiber, Jochen Hampe, Niels Jahn, Gernot Glöckner, Marco Groth and Arne Sahm and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Blood.

In The Last Decade

Karol Szafranski

62 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karol Szafranski Germany 25 1.3k 251 216 194 146 65 1.9k
Jill A. Kreiling United States 20 1.2k 1.0× 368 1.5× 245 1.1× 68 0.4× 176 1.2× 40 1.8k
Yemin Lan United States 26 1.9k 1.5× 209 0.8× 446 2.1× 131 0.7× 60 0.4× 49 2.6k
Todd Nystul United States 19 1.2k 0.9× 151 0.6× 210 1.0× 90 0.5× 204 1.4× 36 1.7k
Daniel Gerlach Austria 22 1.8k 1.4× 411 1.6× 361 1.7× 148 0.8× 62 0.4× 40 2.7k
Celina E. Juliano United States 22 1.4k 1.1× 379 1.5× 258 1.2× 139 0.7× 53 0.4× 38 2.0k
О. Г. Зацепина Russia 23 1.0k 0.8× 126 0.5× 162 0.8× 454 2.3× 119 0.8× 72 1.6k
Shoji Oda Japan 27 997 0.8× 132 0.5× 413 1.9× 109 0.6× 83 0.6× 99 2.8k
Adrian Alexa Germany 8 1.2k 1.0× 432 1.7× 350 1.6× 149 0.8× 34 0.2× 8 2.1k
Chau Huynh United States 8 1.5k 1.2× 261 1.0× 179 0.8× 170 0.9× 736 5.0× 10 2.2k
Enrique Blanco Spain 26 1.9k 1.5× 434 1.7× 391 1.8× 83 0.4× 43 0.3× 55 2.4k

Countries citing papers authored by Karol Szafranski

Since Specialization
Citations

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

Fields of papers citing papers by Karol Szafranski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Szafranski

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Szafranski. A scholar is included among the top collaborators of Karol Szafranski 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 Karol Szafranski. Karol Szafranski 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.
Koch, Philipp, Karol Szafranski, Marco Groth, et al.. (2025). Replication stress responses in human lymphocytes change sex-specifically during aging. Nucleic Acids Research. 53(11).
2.
3.
Sahm, Arne, Matthias Platzer, Philipp Koch, et al.. (2021). Increased longevity due to sexual activity in mole-rats is associated with transcriptional changes in the HPA stress axis. eLife. 10. 16 indexed citations
4.
Sahm, Arne, Martin Bens, Karol Szafranski, et al.. (2018). Long-lived rodents reveal signatures of positive selection in genes associated with lifespan. PLoS Genetics. 14(3). e1007272–e1007272. 41 indexed citations
5.
Maerz, Lars D., Karol Szafranski, Marco Groth, et al.. (2018). Resting cells rely on the DNA helicase component MCM2 to build cilia. Nucleic Acids Research. 47(1). 134–151. 17 indexed citations
6.
Holtze, Susanne, Ulrich Wachter, Uwe Menzel, et al.. (2016). Low sulfide levels and a high degree of cystathionine β-synthase (CBS) activation by S-adenosylmethionine (SAM) in the long-lived naked mole-rat. Redox Biology. 8. 192–198. 23 indexed citations
7.
Szafranski, Karol, Frank Schumann, Rileen Sinha, et al.. (2014). Physiological state co-regulates thousands of mammalian mRNA splicing events at tandem splice sites and alternative exons. Nucleic Acids Research. 42(14). 8895–8904. 10 indexed citations
8.
Taudien, Stefan, Karol Szafranski, Marius Felder, et al.. (2011). Comprehensive assessment of sequence variation within the copy number variable defensin cluster on 8p23 by target enriched in-depth 454 sequencing. BMC Genomics. 12(1). 243–243. 7 indexed citations
9.
Nothnagel, Michael, Andreas Wolf, Alexander Herrmann, et al.. (2010). Statistical inference of allelic imbalance from transcriptome data. Human Mutation. 32(1). 98–106. 16 indexed citations
10.
Huse, Klaus, Marco Groth, Cornelia Wiegand, et al.. (2010). Both copy number and sequence variation determine expression of human DEFB4. New Biotechnology. 27. S41–S41. 4 indexed citations
11.
Groth, Marco, Cornelia Wiegand, Karol Szafranski, et al.. (2010). Both copy number and sequence variations affect expression of human DEFB4. Genes and Immunity. 11(6). 458–466. 37 indexed citations
12.
Groth, Marco, Karol Szafranski, Stefan Taudien, et al.. (2008). High-resolution mapping of the 8p23.1 beta-defensin cluster reveals strictly concordant copy number variation of all genes. Human Mutation. 29(10). 1247–1254. 50 indexed citations
13.
Szafranski, Karol, Michael Hiller, Gul Shad Ali, et al.. (2008). Alternative splicing at NAGNAG acceptors in Arabidopsis thaliana SR and SR-related protein-coding genes. BMC Genomics. 9(1). 159–159. 41 indexed citations
14.
Szafranski, Karol, Molly Megraw, Martin Reczko, & Artemis G. Hatzigeorgiou. (2006). Support Vector Machines for Predicting microRNA Hairpins.. 270–276. 12 indexed citations
15.
Felder, Marius, Karol Szafranski, Rüdiger Lehmann, et al.. (2005). DictyMOLD-a Dictyostelium discoideum genome browser database. Bioinformatics. 21(5). 696–697.
16.
Winckler, Thomas, Karol Szafranski, & Gernot Glöckner. (2005). Transfer RNA gene-targeted integration: an adaptation of retrotransposable elements to survive in the compact <i>Dictyostelium discoideum</i> genome. Cytogenetic and Genome Research. 110(1-4). 288–298. 23 indexed citations
17.
Taudien, Stefan, Petra Galgóczy, Klaus Huse, et al.. (2004). Polymorphic segmental duplications at 8p23.1 challenge the determination of individual defensin gene repertoires and the assembly of a contiguous human reference sequence. BMC Genomics. 5(1). 92–92. 48 indexed citations
18.
Szafranski, Karol, Theo Dingermann, Gernot Glöckner, & Thomas Winckler. (2003). Template jumping by a LINE reverse transcriptase has created a SINE-like 5S rRNA retropseudogene in Dictyostelium. Molecular Genetics and Genomics. 271(1). 98–102. 11 indexed citations
19.
Glöckner, Gernot, Karol Szafranski, Theo Dingermann, et al.. (2001). The Complex Repeats of Dictyostelium discoideum. Genome Research. 11(4). 585–594. 66 indexed citations
20.
Quack, Marcus, Karol Szafranski, Carsten Carlberg, & Juha Rouvinen. (1998). The role of the T-box for the function of the vitamin D receptor on different types of response elements. Nucleic Acids Research. 26(23). 5372–5378. 31 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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