Saskia Hoffmann

1.6k total citations
22 papers, 1.2k citations indexed

About

Saskia Hoffmann is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Saskia Hoffmann has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cell Biology. Recurrent topics in Saskia Hoffmann's work include DNA Repair Mechanisms (13 papers), Microtubule and mitosis dynamics (5 papers) and CRISPR and Genetic Engineering (5 papers). Saskia Hoffmann is often cited by papers focused on DNA Repair Mechanisms (13 papers), Microtubule and mitosis dynamics (5 papers) and CRISPR and Genetic Engineering (5 papers). Saskia Hoffmann collaborates with scholars based in Denmark, Germany and United Kingdom. Saskia Hoffmann's co-authors include Niels Mailand, Simon Bekker‐Jensen, Peter Haahr, Titia K. Sixma, Matthias Mann, Tina Thorslund, Takeo Narita, Michael Uckelmann, Thomas Wild and Markus Räschle and has published in prestigious journals such as Nature, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Saskia Hoffmann

21 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saskia Hoffmann Denmark 14 1.1k 393 235 107 95 22 1.2k
Kristina Grabušić Croatia 14 666 0.6× 271 0.7× 43 0.2× 134 1.3× 35 0.4× 19 845
Stefán Sigurðsson Iceland 18 1.8k 1.7× 394 1.0× 132 0.6× 359 3.4× 529 5.6× 31 2.1k
Markus Brockmann Netherlands 4 623 0.6× 218 0.6× 239 1.0× 162 1.5× 70 0.7× 5 896
Yasutoshi Tatsumi Japan 14 664 0.6× 271 0.7× 145 0.6× 93 0.9× 106 1.1× 29 893
Gil Arvatz Israel 11 513 0.5× 65 0.2× 453 1.9× 74 0.7× 33 0.3× 14 752
Marta Sanz-García Spain 16 568 0.5× 167 0.4× 170 0.7× 61 0.6× 71 0.7× 17 688
Jun Hasegawa Japan 7 1.0k 1.0× 77 0.2× 30 0.1× 60 0.6× 86 0.9× 8 1.2k
Marianna Trakala Spain 11 346 0.3× 170 0.4× 293 1.2× 57 0.5× 57 0.6× 16 545
Émilie Louvet France 16 551 0.5× 199 0.5× 100 0.4× 56 0.5× 41 0.4× 23 805
Ursula Eilers Germany 5 414 0.4× 171 0.4× 149 0.6× 127 1.2× 36 0.4× 6 567

Countries citing papers authored by Saskia Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Saskia Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saskia Hoffmann

This figure shows the co-authorship network connecting the top 25 collaborators of Saskia Hoffmann. A scholar is included among the top collaborators of Saskia Hoffmann 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 Saskia Hoffmann. Saskia Hoffmann 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.
Li, Dong, Niels Mailand, Saskia Hoffmann, et al.. (2025). Quantitative hypermorphic FAM111A alleles cause autosomal recessive Kenny-Caffey syndrome type 2 and osteocraniostenosis. JCI Insight. 10(6).
2.
Hoffmann, Saskia, Melanie Weisser, Andreas Mund, et al.. (2024). VCF1 is a p97/VCP cofactor promoting recognition of ubiquitylated p97-UFD1-NPL4 substrates. Nature Communications. 15(1). 2459–2459. 3 indexed citations
3.
Ackermann, Leena, Saskia Hoffmann, Ivo A. Hendriks, et al.. (2024). Concerted SUMO-targeted ubiquitin ligase activities of TOPORS and RNF4 are essential for stress management and cell proliferation. Nature Structural & Molecular Biology. 31(9). 1355–1367. 15 indexed citations
4.
Hoffmann, Saskia, et al.. (2023). Renewable compensatory measures to mitigate the grid stress after different penetration shares of electric mobility in urban environment. International Journal of Power and Energy Conversion. 14(4). 346–358. 1 indexed citations
5.
Schubert, Lisa, Ivo A. Hendriks, Wei Wu, et al.. (2022). SCAI promotes error‐free repair of DNA interstrand crosslinks via the Fanconi anemia pathway. EMBO Reports. 23(4). e53639–e53639. 12 indexed citations
6.
Hoffmann, Saskia, Satyakrishna Pentakota, Andreas Mund, et al.. (2020). FAM111 protease activity undermines cellular fitness and is amplified by gain‐of‐function mutations in human disease. EMBO Reports. 21(10). e50662–e50662. 43 indexed citations
7.
Gallina, Irene, Ivo A. Hendriks, Saskia Hoffmann, et al.. (2020). The ubiquitin ligase RFWD3 is required for translesion DNA synthesis. Molecular Cell. 81(3). 442–458.e9. 60 indexed citations
8.
Hoffmann, Saskia, Gerd Baldenhofer, Rūta Jasaitytė, et al.. (2020). Automated quantification of mitral valve tenting volume in functional mitral regurgitation by three‐dimensional echocardiography. Echocardiography. 37(7). 1043–1048. 4 indexed citations
9.
Thakur, Roshan Singh, Peter Haahr, Saskia Hoffmann, et al.. (2019). Regulation of ETAA1-mediated ATR activation couples DNA replication fidelity and genome stability. The Journal of Cell Biology. 218(12). 3943–3953. 12 indexed citations
11.
Haahr, Peter, Dimitris Typas, Saskia Hoffmann, et al.. (2018). ZUFSP Deubiquitylates K63-Linked Polyubiquitin Chains to Promote Genome Stability. Molecular Cell. 70(1). 165–174.e6. 70 indexed citations
12.
Schubert, Lisa, Teresa L. Ho, Saskia Hoffmann, et al.. (2017). RADX interacts with single‐stranded DNA to promote replication fork stability. EMBO Reports. 18(11). 1991–2003. 25 indexed citations
13.
Haahr, Peter, Saskia Hoffmann, Maxim A. X. Tollenaere, et al.. (2016). Activation of the ATR kinase by the RPA-binding protein ETAA1. Nature Cell Biology. 18(11). 1196–1207. 191 indexed citations
14.
Walter, David, et al.. (2016). SCFCyclin F-dependent degradation of CDC6 suppresses DNA re-replication. Nature Communications. 7(1). 10530–10530. 80 indexed citations
15.
Hoffmann, Saskia, Stine Smedegaard, Kyosuke Nakamura, et al.. (2016). TRAIP is a PCNA-binding ubiquitin ligase that protects genome stability after replication stress. The Journal of Experimental Medicine. 213(1). 2131OIA127–2131OIA127. 1 indexed citations
16.
Klein, Ditte Kjærsgaard, Saskia Hoffmann, Johanna K. Ahlskog, et al.. (2015). Cyclin F suppresses B-Myb activity to promote cell cycle checkpoint control. Nature Communications. 6(1). 5800–5800. 60 indexed citations
17.
Thorslund, Tina, Saskia Hoffmann, Thomas Wild, et al.. (2015). Histone H1 couples initiation and amplification of ubiquitin signalling after DNA damage. Nature. 527(7578). 389–393. 317 indexed citations
19.
Kousholt, Arne Nedergaard, Kasper Fugger, Saskia Hoffmann, et al.. (2012). CtIP-dependent DNA resection is required for DNA damage checkpoint maintenance but not initiation. The Journal of Cell Biology. 197(7). 869–876. 62 indexed citations
20.
Neeße, Albrecht, Andreas Jerrentrup, Saskia Hoffmann, et al.. (2011). Prehospital chest emergency sonography trial in Germany. European Journal of Emergency Medicine. 19(3). 161–166. 36 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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