Sonja Petkovic

985 total citations
12 papers, 593 citations indexed

About

Sonja Petkovic is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Sonja Petkovic has authored 12 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Neurology. Recurrent topics in Sonja Petkovic's work include Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and RNA Research and Splicing (4 papers). Sonja Petkovic is often cited by papers focused on Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers) and RNA Research and Splicing (4 papers). Sonja Petkovic collaborates with scholars based in Germany, Canada and United States. Sonja Petkovic's co-authors include Sabine Müller, Harutyun Madoev, Christine Klein, Katja Lohmann, Connie Marras, Susen Schaake, Meike Kasten, Inke R. König, Christina M. Lill and Anne Grünewald and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and FEBS Letters.

In The Last Decade

Sonja Petkovic

12 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Petkovic Germany 8 419 244 161 86 51 12 593
Emily C. Gantman United States 7 946 2.3× 379 1.6× 136 0.8× 160 1.9× 17 0.3× 11 1.1k
Arpit Mehta United States 10 260 0.6× 64 0.3× 57 0.4× 44 0.5× 104 2.0× 11 356
Wojciech J. Szlachcic Poland 11 377 0.9× 107 0.4× 79 0.5× 227 2.6× 35 0.7× 15 472
Samudyata Samudyata Sweden 6 202 0.5× 74 0.3× 58 0.4× 45 0.5× 16 0.3× 11 510
Aneeza Kim United States 6 314 0.7× 25 0.1× 179 1.1× 246 2.9× 34 0.7× 10 520
Dipen Rajgor United Kingdom 12 431 1.0× 74 0.3× 22 0.1× 68 0.8× 23 0.5× 15 531
Ayush T. Raman United States 10 266 0.6× 73 0.3× 22 0.1× 33 0.4× 60 1.2× 17 416
Huijuan Feng United States 11 461 1.1× 101 0.4× 18 0.1× 48 0.6× 35 0.7× 17 532
Tamal Sadhukhan United States 9 165 0.4× 95 0.4× 69 0.4× 38 0.4× 17 0.3× 20 315
Kirsty J. McMillan United Kingdom 6 249 0.6× 72 0.3× 107 0.7× 67 0.8× 16 0.3× 7 387

Countries citing papers authored by Sonja Petkovic

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Petkovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Petkovic

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Petkovic. A scholar is included among the top collaborators of Sonja Petkovic 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 Sonja Petkovic. Sonja Petkovic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Müller, Sabine, et al.. (2024). Directed Circularization of a Short RNA. Methods in molecular biology. 2765. 209–226. 1 indexed citations
2.
Lange, Lara M., Johanna Junker, Sebastian Loens, et al.. (2021). Genotype–Phenotype Relations for Isolated Dystonia Genes: MDSGene Systematic Review. Movement Disorders. 36(5). 1086–1103. 69 indexed citations
3.
Petkovic, Sonja, et al.. (2021). Circular versus linear RNA topology: different modes of RNA–RNA interactions in vitro and in human cells. RNA Biology. 18(sup2). 674–683. 4 indexed citations
5.
Petkovic, Sonja, et al.. (2020). Co-living and Co-housing: Similarities and Differences. 22–31. 2 indexed citations
6.
Pauly, Martje G., Ana Westenberger, Gerard Saranza, et al.. (2020). Expanding Data Collection for the MDSGene Database: X‐linked Dystonia‐Parkinsonism as Use Case Example. Movement Disorders. 35(11). 1933–1938. 18 indexed citations
7.
Petkovic, Sonja & Sabine Müller. (2018). Synthesis and Engineering of Circular RNAs. Methods in molecular biology. 1724. 167–180. 22 indexed citations
8.
Trinh, Joanne, Meike Kasten, Susen Schaake, et al.. (2018). Genotype‐phenotype relations for the Parkinson's disease genes SNCA, LRRK2, VPS35: MDSGene systematic review. Movement Disorders. 33(12). 1857–1870. 110 indexed citations
9.
Petkovic, Sonja, Stephan Block, Christoph Flamm, et al.. (2015). Sequence-controlled RNA self-processing: computational design, biochemical analysis, and visualization by AFM. RNA. 21(7). 1249–1260. 16 indexed citations
10.
Petkovic, Sonja & Sabine Müller. (2015). RNA circularization strategies in vivo and in vitro. Nucleic Acids Research. 43(4). 2454–2465. 284 indexed citations
11.
Petkovic, Sonja & Sabine Müller. (2013). RNA self‐processing: Formation of cyclic species and concatemers from a small engineered RNA. FEBS Letters. 587(15). 2435–2440. 35 indexed citations
12.
Müller, Sabine, et al.. (2011). The many faces of the hairpin ribozyme: Structural and functional variants of a small catalytic rna. IUBMB Life. 64(1). 36–47. 28 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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