Dea Slade

3.5k total citations · 2 hit papers
32 papers, 2.5k citations indexed

About

Dea Slade is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Dea Slade has authored 32 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Dea Slade's work include DNA Repair Mechanisms (13 papers), PARP inhibition in cancer therapy (8 papers) and RNA modifications and cancer (6 papers). Dea Slade is often cited by papers focused on DNA Repair Mechanisms (13 papers), PARP inhibition in cancer therapy (8 papers) and RNA modifications and cancer (6 papers). Dea Slade collaborates with scholars based in Austria, France and Germany. Dea Slade's co-authors include Miroslav Radman, Ariel B. Lindner, Ivan Ahel, Ksenija Zahradka, Adriana Bailone, Suzanne Sommer, D. Averbeck, Mirjana Petranović, Eva Barkauskaite and Mark S. Dunstan and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Dea Slade

31 papers receiving 2.5k citations

Hit Papers

Oxidative Stress Resistance inDeinococcus radiodurans 2011 2026 2016 2021 2011 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dea Slade Austria 17 1.6k 801 480 284 247 32 2.5k
Alexey Bochkarev Canada 28 2.2k 1.4× 751 0.9× 521 1.1× 179 0.6× 118 0.5× 42 3.1k
Armin Lahm Italy 31 2.4k 1.5× 960 1.2× 427 0.9× 589 2.1× 215 0.9× 63 4.1k
F. Collart United States 34 3.1k 2.0× 568 0.7× 516 1.1× 247 0.9× 312 1.3× 99 4.3k
Zongli Li United States 28 1.6k 1.0× 246 0.3× 285 0.6× 517 1.8× 285 1.2× 56 3.2k
Jan Šmarda Czechia 28 1.1k 0.7× 282 0.4× 246 0.5× 136 0.5× 419 1.7× 162 2.5k
Mario Lebendiker Israel 25 1.5k 0.9× 587 0.7× 359 0.7× 127 0.4× 133 0.5× 61 2.3k
Anirban Banerjee United States 30 3.1k 1.9× 213 0.3× 442 0.9× 334 1.2× 157 0.6× 77 4.3k
Alexander A. Ishchenko France 30 2.0k 1.3× 503 0.6× 215 0.4× 157 0.6× 42 0.2× 96 2.4k
Millie M. Georgiadis United States 28 2.5k 1.5× 360 0.4× 189 0.4× 89 0.3× 152 0.6× 79 3.3k
Erwin Schneider Germany 37 2.4k 1.5× 1.3k 1.6× 627 1.3× 101 0.4× 250 1.0× 114 4.1k

Countries citing papers authored by Dea Slade

Since Specialization
Citations

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

Fields of papers citing papers by Dea Slade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dea Slade

This figure shows the co-authorship network connecting the top 25 collaborators of Dea Slade. A scholar is included among the top collaborators of Dea Slade 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 Dea Slade. Dea Slade 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.
Lütgendorf‐Caucig, Carola, et al.. (2025). PARP7 as a new target for activating anti-tumor immunity in cancer. EMBO Molecular Medicine. 17(5). 872–888. 4 indexed citations
3.
Fischer, Patrick D., Maximilian Schmid, Anna Ohradanova‐Repic, et al.. (2025). Molecular features of TNBC govern heterogeneity in the response to radiation and autophagy inhibition. Cell Death and Disease. 16(1). 540–540. 1 indexed citations
4.
Gruber, Sylvia, Bernhard Kratzer, Winfried F. Pickl, et al.. (2024). Cytosolic nucleic acid sensors and interferon beta-1 activation drive radiation-induced anti-tumour immune effects in human pancreatic cancer cells. Frontiers in Immunology. 15. 1286942–1286942. 1 indexed citations
5.
Sánchez‐Martín, Pablo, David M. Hollenstein, Jonas B. Michaelis, et al.. (2024). FIP200 Phosphorylation Regulates Late Steps in Mitophagy. Journal of Molecular Biology. 436(15). 168631–168631. 3 indexed citations
6.
Zhou, Di, Anita Salmazo, Marjolein van Sluis, et al.. (2024). STK19 drives transcription-coupled repair by stimulating repair complex stability, RNA Pol II ubiquitylation, and TFIIH recruitment. Molecular Cell. 84(24). 4740–4757.e12. 13 indexed citations
7.
Franke, Vedran, Melania Bruno, Anton A. Polyansky, et al.. (2023). The SPOC proteins DIDO3 and PHF3 co-regulate gene expression and neuronal differentiation. Nature Communications. 14(1). 7912–7912. 1 indexed citations
8.
Franke, Vedran, Irina Grishkovskaya, Anton A. Polyansky, et al.. (2023). The SPOC domain is a phosphoserine binding module that bridges transcription machinery with co- and post-transcriptional regulators. Nature Communications. 14(1). 166–166. 15 indexed citations
9.
Schleiffer, Alexander, et al.. (2023). SPOC domain proteins in health and disease. Genes & Development. 37(5-6). 140–170. 6 indexed citations
10.
Dobbelaere, Jeroen, Markéta Schmidt Černohorská, Martina Huranová, Dea Slade, & Alexander Dammermann. (2020). Cep97 Is Required for Centriole Structural Integrity and Cilia Formation in Drosophila. Current Biology. 30(15). 3045–3056.e7. 25 indexed citations
11.
Slade, Dea. (2020). PARP and PARG inhibitors in cancer treatment. Genes & Development. 34(5-6). 360–394. 429 indexed citations breakdown →
12.
Slade, Dea. (2019). Mitotic functions of poly(ADP-ribose) polymerases. Biochemical Pharmacology. 167. 33–43. 46 indexed citations
13.
Herbert, Sébastien, et al.. (2018). Simultaneous dual-channel imaging to quantify interdependent protein recruitment to laser-induced DNA damage sites. Nucleus. 9(1). 474–491. 5 indexed citations
14.
Kaufmann, Tanja, Irina Grishkovskaya, Anton A. Polyansky, et al.. (2017). A novel non-canonical PIP-box mediates PARG interaction with PCNA. Nucleic Acids Research. 45(16). 9741–9759. 35 indexed citations
15.
Kontaxis, Georg, et al.. (2017). A histone-mimicking interdomain linker in a multidomain protein modulates multivalent histone binding. Journal of Biological Chemistry. 292(43). 17643–17657. 11 indexed citations
16.
Chen, Dawei, M. Vollmar, Marianna Nicoletta Rossi, et al.. (2011). Identification of Macrodomain Proteins as Novel O-Acetyl-ADP-ribose Deacetylases. Journal of Biological Chemistry. 286(15). 13261–13271. 129 indexed citations
17.
Slade, Dea, et al.. (2010). RecA protein assures fidelity of DNA repair and genome stability in Deinococcus radiodurans. DNA repair. 9(11). 1151–1161. 23 indexed citations
18.
Slade, Dea, et al.. (2009). Recombination and Replication in DNA Repair of Heavily Irradiated Deinococcus radiodurans. Cell. 136(6). 1044–1055. 184 indexed citations
19.
Zahradka, Ksenija, Dea Slade, Adriana Bailone, et al.. (2006). Reassembly of shattered chromosomes in Deinococcus radiodurans. Nature. 443(7111). 569–573. 308 indexed citations
20.
Ahel, Dragana, et al.. (2005). Selective inhibition of divergent seryl‐tRNA synthetases by serine analogues. FEBS Letters. 579(20). 4344–4348. 16 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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