Petra Schwertman

1.0k total citations
8 papers, 805 citations indexed

About

Petra Schwertman is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Petra Schwertman has authored 8 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Petra Schwertman's work include DNA Repair Mechanisms (6 papers), Ubiquitin and proteasome pathways (5 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Petra Schwertman is often cited by papers focused on DNA Repair Mechanisms (6 papers), Ubiquitin and proteasome pathways (5 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Petra Schwertman collaborates with scholars based in Netherlands, Denmark and Sweden. Petra Schwertman's co-authors include Niels Mailand, Simon Bekker‐Jensen, Jurgen A. Marteijn, Wim Vermeulen, Hannes Lans, Jeroen Demmers, Charlie Laffeber, Maria Fousteri, Dick H. W. Dekkers and Anna Lagarou and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Nature Reviews Molecular Cell Biology.

In The Last Decade

Petra Schwertman

8 papers receiving 798 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Petra Schwertman Netherlands 7 760 191 95 81 67 8 805
Courtney A. Lovejoy United States 10 806 1.1× 255 1.3× 101 1.1× 108 1.3× 108 1.6× 14 891
Elodie Hatchi France 9 706 0.9× 231 1.2× 74 0.8× 101 1.2× 45 0.7× 9 788
Gerald E. Dodson United States 9 551 0.7× 233 1.2× 73 0.8× 125 1.5× 88 1.3× 10 628
Chih‐Chao Liang United Kingdom 12 678 0.9× 126 0.7× 98 1.0× 98 1.2× 88 1.3× 15 715
Ilona U. Rafalska-Metcalf United States 8 782 1.0× 204 1.1× 79 0.8× 68 0.8× 38 0.6× 10 842
Raquel Cuella-Martin United States 7 600 0.8× 203 1.1× 103 1.1× 48 0.6× 58 0.9× 10 635
Marie-Claude Landry Canada 9 848 1.1× 303 1.6× 113 1.2× 55 0.7× 127 1.9× 10 921
Jordan R. Becker United States 10 691 0.9× 267 1.4× 64 0.7× 63 0.8× 73 1.1× 13 736
Asami Hishiki Japan 12 597 0.8× 176 0.9× 73 0.8× 95 1.2× 81 1.2× 26 672
Sean Howard United States 11 709 0.9× 202 1.1× 70 0.7× 97 1.2× 45 0.7× 18 777

Countries citing papers authored by Petra Schwertman

Since Specialization
Citations

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

Fields of papers citing papers by Petra Schwertman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Schwertman

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

All Works

8 of 8 papers shown
1.
Zhou, Di, Petra Schwertman, Maria Tresini, et al.. (2019). FACT subunit Spt16 controls UVSSA recruitment to lesion-stalled RNA Pol II and stimulates TC-NER. Nucleic Acids Research. 47(8). 4011–4025. 32 indexed citations
2.
Ackermann, Leena, Petra Schwertman, Ivo A. Hendriks, et al.. (2019). SUMO ylation promotes protective responses to DNA ‐protein crosslinks. The EMBO Journal. 38(8). 79 indexed citations
3.
Schwertman, Petra, Simon Bekker‐Jensen, & Niels Mailand. (2016). Regulation of DNA double-strand break repair by ubiquitin and ubiquitin-like modifiers. Nature Reviews Molecular Cell Biology. 17(6). 379–394. 278 indexed citations
4.
Schwertman, Petra, Karel Bezstarosti, Charlie Laffeber, et al.. (2013). An immunoaffinity purification method for the proteomic analysis of ubiquitinated protein complexes. Analytical Biochemistry. 440(2). 227–236. 23 indexed citations
5.
Schwertman, Petra, Wim Vermeulen, & Jurgen A. Marteijn. (2013). UVSSA and USP7, a new couple in transcription-coupled DNA repair. Chromosoma. 122(4). 275–284. 34 indexed citations
6.
Schwertman, Petra, Anna Lagarou, Dick H. W. Dekkers, et al.. (2012). UV-sensitive syndrome protein UVSSA recruits USP7 to regulate transcription-coupled repair. Nature Genetics. 44(5). 598–602. 200 indexed citations
7.
Janssen, George M. C., et al.. (2009). Transient and constitutive repression of cytoplasmic translation signaling in cells with mtDNA mutation. Cellular and Molecular Life Sciences. 66(4). 721–730. 2 indexed citations
8.
Marteijn, Jurgen A., Simon Bekker‐Jensen, Niels Mailand, et al.. (2009). Nucleotide excision repair–induced H2A ubiquitination is dependent on MDC1 and RNF8 and reveals a universal DNA damage response. The Journal of Cell Biology. 186(6). 835–847. 157 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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