Raymond H.J. Staals

5.3k total citations · 1 hit paper
44 papers, 3.4k citations indexed

About

Raymond H.J. Staals is a scholar working on Molecular Biology, Insect Science and Ecology. According to data from OpenAlex, Raymond H.J. Staals has authored 44 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 14 papers in Insect Science and 8 papers in Ecology. Recurrent topics in Raymond H.J. Staals's work include CRISPR and Genetic Engineering (38 papers), Insect symbiosis and bacterial influences (14 papers) and RNA and protein synthesis mechanisms (12 papers). Raymond H.J. Staals is often cited by papers focused on CRISPR and Genetic Engineering (38 papers), Insect symbiosis and bacterial influences (14 papers) and RNA and protein synthesis mechanisms (12 papers). Raymond H.J. Staals collaborates with scholars based in Netherlands, New Zealand and United States. Raymond H.J. Staals's co-authors include Peter C. Fineran, John van der Oost, Stan J. J. Brouns, Bridget N. J. Watson, Edze R. Westra, Chris M. Brown, Corinda Taylor, Matthijs M. Jore, Ger J.M. Pruijn and Tim Künne and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Raymond H.J. Staals

41 papers receiving 3.4k citations

Hit Papers

CRISPR Immunity Relies on the Consecutive Binding and Deg... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raymond H.J. Staals Netherlands 27 3.0k 873 663 592 453 44 3.4k
Josiane E. Garneau Canada 6 3.0k 1.0× 992 1.1× 690 1.0× 380 0.6× 246 0.5× 6 3.4k
Daan C. Swarts Netherlands 22 3.3k 1.1× 748 0.9× 642 1.0× 279 0.5× 184 0.4× 34 3.7k
Alfonso H. Magadán Canada 11 2.3k 0.7× 1.0k 1.2× 545 0.8× 259 0.4× 221 0.5× 13 2.7k
Melissa Richards United States 5 4.6k 1.5× 1.2k 1.4× 1.0k 1.5× 555 0.9× 369 0.8× 7 5.1k
Sergey Shmakov United States 23 4.9k 1.6× 708 0.8× 839 1.3× 662 1.1× 279 0.6× 30 5.3k
Manuela Villion Canada 13 2.1k 0.7× 659 0.8× 485 0.7× 245 0.4× 247 0.5× 19 2.4k
Yanjie Chao China 19 3.2k 1.0× 900 1.0× 1.3k 2.0× 248 0.4× 348 0.8× 39 4.0k
Ido Yosef Israel 19 1.6k 0.5× 762 0.9× 542 0.8× 266 0.4× 259 0.6× 32 2.0k
Cristóbal Almendros Spain 12 1.6k 0.5× 336 0.4× 406 0.6× 314 0.5× 230 0.5× 16 1.7k
Christopher A. Vakulskas United States 26 2.7k 0.9× 348 0.4× 1.4k 2.1× 127 0.2× 456 1.0× 38 3.2k

Countries citing papers authored by Raymond H.J. Staals

Since Specialization
Citations

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

Fields of papers citing papers by Raymond H.J. Staals

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond H.J. Staals. 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 Raymond H.J. Staals. The network helps show where Raymond H.J. Staals may publish in the future.

Co-authorship network of co-authors of Raymond H.J. Staals

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond H.J. Staals. A scholar is included among the top collaborators of Raymond H.J. Staals 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 Raymond H.J. Staals. Raymond H.J. Staals 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.
Bravo, Jack P. K., Stephan Köstlbacher, Constantinos Patinios, et al.. (2024). Type III-B CRISPR-Cas cascade of proteolytic cleavages. Science. 383(6682). 512–519. 17 indexed citations
2.
Mohanraju, Prarthana, et al.. (2023). Characterization of the AcrIIC1 anti‒CRISPR protein for Cas9‒based genome engineering in E. coli. Communications Biology. 6(1). 1042–1042.
3.
Haan, Laura de, et al.. (2023). Efficient Genome and Base Editing in Human Cells Using ThermoCas9. The CRISPR Journal. 6(3). 278–288. 4 indexed citations
4.
Staals, Raymond H.J., et al.. (2022). The diverse arsenal of type III CRISPR–Cas-associated CARF and SAVED effectors. Biochemical Society Transactions. 50(5). 1353–1364. 21 indexed citations
5.
Mohanraju, Prarthana, et al.. (2022). Alternative functions of CRISPR–Cas systems in the evolutionary arms race. Nature Reviews Microbiology. 20(6). 351–364. 48 indexed citations
6.
Patinios, Constantinos, Adini Qisthi Arifah, Belén Adiego-Pérez, et al.. (2021). Streamlined CRISPR genome engineering in wild-type bacteria using SIBR-Cas. Nucleic Acids Research. 49(19). 11392–11404. 14 indexed citations
7.
Zhou, Yi, et al.. (2021). Structure of a type IV CRISPR-Cas ribonucleoprotein complex. iScience. 24(3). 102201–102201. 27 indexed citations
8.
Watson, Bridget N. J., et al.. (2021). Coevolution between bacterial CRISPR-Cas systems and their bacteriophages. Cell Host & Microbe. 29(5). 715–725. 60 indexed citations
9.
Zhu, Yifan, David W. Taylor, Jack P. K. Bravo, et al.. (2021). SCOPE enables type III CRISPR-Cas diagnostics using flexible targeting and stringent CARF ribonuclease activation. Nature Communications. 12(1). 5033–5033. 62 indexed citations
10.
Mohanraju, Prarthana, et al.. (2019). Keepingcrisprin check: diverse mechanisms of phage-encoded anti-crisprs. FEMS Microbiology Letters. 366(9). 56 indexed citations
11.
Watson, Bridget N. J., et al.. (2019). Type I-F CRISPR-Cas resistance against virulent phages results in abortive infection and provides population-level immunity. Nature Communications. 10(1). 5526–5526. 43 indexed citations
12.
Zhu, Yifan, Sanne E. Klompe, Marnix Vlot, John van der Oost, & Raymond H.J. Staals. (2018). Shooting the messenger: RNA-targetting CRISPR-Cas systems. Bioscience Reports. 38(3). 21 indexed citations
13.
Pawluk, April, Raymond H.J. Staals, Corinda Taylor, et al.. (2016). Inactivation of CRISPR-Cas systems by anti-CRISPR proteins in diverse bacterial species. Nature Microbiology. 1(8). 16085–16085. 240 indexed citations
14.
Wilkinson, Max E., Yoshio Nakatani, Raymond H.J. Staals, et al.. (2016). Structural plasticity and in vivo activity of Cas1 from the type I-F CRISPR–Cas system. Biochemical Journal. 473(8). 1063–1072. 9 indexed citations
15.
Staals, Raymond H.J., et al.. (2016). Interference-driven spacer acquisition is dominant over naive and primed adaptation in a native CRISPR–Cas system. Nature Communications. 7(1). 12853–12853. 107 indexed citations
16.
Staals, Raymond H.J., et al.. (2016). CRISPRDetect: A flexible algorithm to define CRISPR arrays. BMC Genomics. 17(1). 356–356. 234 indexed citations
17.
Niemelä, Elina H., Ali Oghabian, Raymond H.J. Staals, et al.. (2014). Global analysis of the nuclear processing of transcripts with unspliced U12-type introns by the exosome. Nucleic Acids Research. 42(11). 7358–7369. 24 indexed citations
18.
Westra, Edze R., Raymond H.J. Staals, Gerrit Gort, et al.. (2013). CRISPR-Cas systems preferentially target the leading regions of MOBFconjugative plasmids. RNA Biology. 10(5). 749–761. 30 indexed citations
19.
Westra, Edze R., Tim Künne, Raymond H.J. Staals, et al.. (2012). CRISPR Immunity Relies on the Consecutive Binding and Degradation of Negatively Supercoiled Invader DNA by Cascade and Cas3. Molecular Cell. 46(5). 595–605. 410 indexed citations breakdown →
20.
Staals, Raymond H.J. & Ger J.M. Pruijn. (2010). The Human Exosome and Disease. Advances in experimental medicine and biology. 702. 132–142. 53 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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