Pedro Weickert

434 total citations
10 papers, 237 citations indexed

About

Pedro Weickert is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Pedro Weickert has authored 10 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Oncology and 1 paper in Epidemiology. Recurrent topics in Pedro Weickert's work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Pedro Weickert is often cited by papers focused on DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (3 papers) and DNA and Nucleic Acid Chemistry (2 papers). Pedro Weickert collaborates with scholars based in Germany, United States and United Kingdom. Pedro Weickert's co-authors include Julian Stingele, Shubo Zhao, Hao‐Yi Li, Justin L. Sparks, Evelyn Fessler, Lucas T. Jae, Michael Sattler, Hyun-Seo Kang, Johannes C. Walter and Regina Feederle and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Annual Review of Biochemistry.

In The Last Decade

Pedro Weickert

9 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Weickert Germany 8 223 63 24 20 15 10 237
Alsu Missarova United States 6 246 1.1× 20 0.3× 28 1.2× 17 0.8× 17 1.1× 6 283
Jenna Ariel Lieberman Spain 4 254 1.1× 102 1.6× 26 1.1× 16 0.8× 7 0.5× 4 272
C. Denise Appel United States 9 277 1.2× 70 1.1× 27 1.1× 25 1.3× 15 1.0× 11 304
Owen S. Wells United Kingdom 5 222 1.0× 77 1.2× 19 0.8× 12 0.6× 24 1.6× 6 242
Trung Hoàng United States 6 274 1.2× 80 1.3× 33 1.4× 14 0.7× 26 1.7× 7 301
Alessio De Magis Germany 8 471 2.1× 36 0.6× 20 0.8× 8 0.4× 13 0.9× 9 509
David Kuch Germany 4 323 1.4× 56 0.9× 54 2.3× 6 0.3× 61 4.1× 8 351
Homa Ghalei United States 13 479 2.1× 64 1.0× 32 1.3× 18 0.9× 17 1.1× 23 508
Tyler Weaver United States 9 230 1.0× 34 0.5× 14 0.6× 8 0.4× 12 0.8× 21 269
Kangjing Chen China 9 249 1.1× 31 0.5× 17 0.7× 7 0.3× 11 0.7× 12 291

Countries citing papers authored by Pedro Weickert

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Weickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Weickert

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

All Works

10 of 10 papers shown
1.
Kang, Hyun-Seo, Christian Wiebeler, Yuka Machida, et al.. (2025). Allosteric activation of the SPRTN protease by ubiquitin maintains genome stability. Nature Communications. 16(1). 5422–5422.
2.
Weickert, Pedro, et al.. (2024). Electro-elution-based purification of covalent DNA–protein cross-links. Nature Protocols. 19(10). 2891–2914. 6 indexed citations
3.
Weickert, Pedro, Almudena Serrano-Benítez, Hao‐Yi Li, et al.. (2024). Decitabine cytotoxicity is promoted by dCMP deaminase DCTD and mitigated by SUMO-dependent E3 ligase TOPORS. The EMBO Journal. 43(12). 2397–2423. 12 indexed citations
4.
Weickert, Pedro, Hao‐Yi Li, Shubo Zhao, et al.. (2023). SPRTN patient variants cause global-genome DNA-protein crosslink repair defects. Nature Communications. 14(1). 352–352. 20 indexed citations
5.
Nguyen, Kha The, et al.. (2023). A non‐proteolytic release mechanism for HMCES‐DNA‐protein crosslinks. The EMBO Journal. 42(18). e113360–e113360. 19 indexed citations
6.
Zhao, Shubo, Timur Mackens‐Kiani, Niladri K. Sinha, et al.. (2023). RNF14-dependent atypical ubiquitylation promotes translation-coupled resolution of RNA-protein crosslinks. Molecular Cell. 83(23). 4290–4303.e9. 22 indexed citations
7.
Sparks, Justin L., et al.. (2023). The FANCJ helicase unfolds DNA-protein crosslinks to promote their repair. Molecular Cell. 83(1). 43–56.e10. 29 indexed citations
8.
Weickert, Pedro & Julian Stingele. (2022). DNA–Protein Crosslinks and Their Resolution. Annual Review of Biochemistry. 91(1). 157–181. 57 indexed citations
9.
Kang, Hyun-Seo, Hao‐Yi Li, Shubo Zhao, et al.. (2020). DNA Structure-Specific Cleavage of DNA-Protein Crosslinks by the SPRTN Protease. Molecular Cell. 80(1). 102–113.e6. 43 indexed citations
10.
Zhao, Shubo, et al.. (2020). A ubiquitin switch controls autocatalytic inactivation of the DNA–protein crosslink repair protease SPRTN. Nucleic Acids Research. 49(2). 902–915. 29 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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