Sven Danckwardt

1.8k total citations
30 papers, 1.1k citations indexed

About

Sven Danckwardt is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Sven Danckwardt has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Hematology and 7 papers in Immunology. Recurrent topics in Sven Danckwardt's work include RNA Research and Splicing (11 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and RNA modifications and cancer (8 papers). Sven Danckwardt is often cited by papers focused on RNA Research and Splicing (11 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers) and RNA modifications and cancer (8 papers). Sven Danckwardt collaborates with scholars based in Germany, United States and France. Sven Danckwardt's co-authors include Andreas E. Kulozik, Matthias W. Hentze, Gabriele Neu‐Yilik, Karl J. Lackner, Jamie P. Nourse, Beat Alessandri, Harald Krenzlin, Oliver Kempski, Viola Lorenz and Niels H. Gehring and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Sven Danckwardt

29 papers receiving 1.1k citations

Peers

Sven Danckwardt
Begüm Kocatürk United States
Earl Poptic United States
Tom G. Mastenbroek Netherlands
Timo Vögtle Germany
Barry Wilbourn United Kingdom
Joost F.M. Lensen Netherlands
Begüm Kocatürk United States
Sven Danckwardt
Citations per year, relative to Sven Danckwardt Sven Danckwardt (= 1×) peers Begüm Kocatürk

Countries citing papers authored by Sven Danckwardt

Since Specialization
Citations

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

Fields of papers citing papers by Sven Danckwardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Danckwardt

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Danckwardt. A scholar is included among the top collaborators of Sven Danckwardt 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 Sven Danckwardt. Sven Danckwardt 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.
Kuntić, Marin, Andrea Pozzer, David Nußbaum, et al.. (2025). Differential inflammation, oxidative stress and cardiovascular damage markers of nano- and micro-particle exposure in mice: Implications for human disease burden. Redox Biology. 83. 103644–103644. 5 indexed citations
2.
Iglesias, María Jesús, Jamie P. Nourse, Elisabetta Castoldi, et al.. (2024). Plasma levels of complement components C5 and C9 are associated with thrombin generation. Journal of Thrombosis and Haemostasis. 22(9). 2531–2542.
3.
Danckwardt, Sven, David‐Alexandre Trégouët, & Elisabetta Castoldi. (2023). Post-transcriptional control of haemostatic genes: mechanisms and emerging therapeutic concepts in thrombo-inflammatory disorders. Cardiovascular Research. 119(8). 1624–1640. 7 indexed citations
4.
Luke, Brian, et al.. (2022). The Bidirectional Link Between RNA Cleavage and Polyadenylation and Genome Stability: Recent Insights From a Systematic Screen. Frontiers in Genetics. 13. 854907–854907. 2 indexed citations
5.
Danckwardt, Sven, et al.. (2022). Pathophysiological Role and Diagnostic Potential of R-Loops in Cancer and Beyond. Genes. 13(12). 2181–2181. 10 indexed citations
6.
Marini, Fédérico, et al.. (2020). TREND-DB—a transcriptome-wide atlas of the dynamic landscape of alternative polyadenylation. Nucleic Acids Research. 49(D1). D243–D253. 23 indexed citations
7.
Nourse, Jamie P. & Sven Danckwardt. (2020). A novel rationale for targeting FXI: Insights from the hemostatic microRNA targetome for emerging anticoagulant strategies. Pharmacology & Therapeutics. 218. 107676–107676. 9 indexed citations
8.
Saffarzadeh, Mona, Thanh‐Son Nguyen, Young Kyung Lee, et al.. (2020). Macrophage protease-activated receptor 2 regulates fetal liver erythropoiesis in mice. Blood Advances. 4(22). 5810–5824. 11 indexed citations
9.
Häuser, Friederike, Sven Danckwardt, Vera Beyer, et al.. (2020). A non-invasive diagnostic assay for rapid detection and characterization of aberrant mRNA-splicing by nonsense mediated decay inhibition. Molecular Genetics and Metabolism. 130(1). 27–35. 7 indexed citations
10.
Panova‐Noeva, Marina, Markus Nagler, Natalie Arnold, et al.. (2019). Relation between platelet coagulant and vascular function, sex-specific analysis in adult survivors of childhood cancer compared to a population-based sample. Scientific Reports. 9(1). 20090–20090. 1 indexed citations
11.
Muth, Sabine, Björn E. Clausen, Karsten Mahnke, et al.. (2018). Dermal CD207-Negative Migratory Dendritic Cells Are Fully Competent to Prime Protective, Skin Homing Cytotoxic T-Lymphocyte Responses. Journal of Investigative Dermatology. 139(2). 422–429. 10 indexed citations
12.
Ogorodnikov, Anton, Michal Levin, Sergey V. Tokalov, et al.. (2018). Transcriptome 3′end organization by PCF11 links alternative polyadenylation to formation and neuronal differentiation of neuroblastoma. Nature Communications. 9(1). 5331–5331. 74 indexed citations
13.
Nourse, Jamison L., Juliane Braun, Karl J. Lackner, Stefan Hüttelmaier, & Sven Danckwardt. (2018). Large‐scale identification of functional microRNA targeting reveals cooperative regulation of the hemostatic system. Journal of Thrombosis and Haemostasis. 16(11). 2233–2245. 30 indexed citations
14.
Ogorodnikov, Anton, et al.. (2016). Processing and transcriptome expansion at the mRNA 3′ end in health and disease: finding the right end. Pflügers Archiv - European Journal of Physiology. 468(6). 993–1012. 30 indexed citations
15.
Danckwardt, Sven, Matthias W. Hentze, & Andreas E. Kulozik. (2013). Pathologies at the nexus of blood coagulation and inflammation: thrombin in hemostasis, cancer, and beyond. Journal of Molecular Medicine. 91(11). 1257–1271. 96 indexed citations
16.
Danckwardt, Sven, Stephan Macher‐Goeppinger, Hans Christian Probst, et al.. (2011). p38 MAPK Controls Prothrombin Expression by Regulated RNA 3′ End Processing. Molecular Cell. 41(3). 298–310. 60 indexed citations
17.
Danckwardt, Sven, Matthias W. Hentze, & Andreas E. Kulozik. (2008). 3′ end mRNA processing: molecular mechanisms and implications for health and disease. The EMBO Journal. 27(3). 482–498. 215 indexed citations
18.
Danckwardt, Sven, Isabelle Kaufmann, Marc Gentzel, et al.. (2007). Splicing factors stimulate polyadenylation via USEs at non‐canonical 3′ end formation signals. The EMBO Journal. 26(11). 2658–2669. 68 indexed citations
19.
Danckwardt, Sven, Katrin Hartmann, Ben‐Zion Katz, et al.. (2006). The prothrombin 20209 C→T mutation in Jewish‐Moroccan Caucasians: molecular analysis of gain‐of‐function of 3′ end processing. Journal of Thrombosis and Haemostasis. 4(5). 1078–1085. 17 indexed citations
20.
Danckwardt, Sven, Kathrin Hartmann, Niels H. Gehring, Matthias W. Hentze, & Andreas E. Kulozik. (2006). 3′ End Processing of the Prothrombin mRNA in Thrombophilia. Acta Haematologica. 115(3-4). 192–197. 23 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026