Rhiannon K. Macrae

3.5k total citations · 6 hit papers
33 papers, 1.6k citations indexed

About

Rhiannon K. Macrae is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Rhiannon K. Macrae has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Ecology. Recurrent topics in Rhiannon K. Macrae's work include CRISPR and Genetic Engineering (24 papers), RNA and protein synthesis mechanisms (15 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Rhiannon K. Macrae is often cited by papers focused on CRISPR and Genetic Engineering (24 papers), RNA and protein synthesis mechanisms (15 papers) and Advanced biosensing and bioanalysis techniques (8 papers). Rhiannon K. Macrae collaborates with scholars based in United States, Germany and Japan. Rhiannon K. Macrae's co-authors include Feng Zhang, Eugene V. Koonin, Han Altae-Tran, Kira S. Makarova, Blake Lash, Soumya Kannan, Makoto Saito, Guilhem Faure, Max E. Wilkinson and Alim Ladha and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Rhiannon K. Macrae

29 papers receiving 1.6k citations

Hit Papers

Mammalian retrovirus-like protein PEG10 packages its own ... 2021 2026 2022 2024 2021 2021 2022 2023 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rhiannon K. Macrae United States 18 1.3k 299 179 165 113 33 1.6k
Ross C. Wilson United States 13 1.3k 1.0× 229 0.8× 164 0.9× 87 0.5× 104 0.9× 21 1.5k
Christopher A. Lino United States 5 900 0.7× 260 0.9× 70 0.4× 206 1.2× 91 0.8× 6 1.2k
Elitza Deltcheva United Kingdom 7 1.9k 1.4× 423 1.4× 180 1.0× 172 1.0× 49 0.4× 10 2.0k
Jason Carte United States 6 1.6k 1.2× 377 1.3× 101 0.6× 172 1.0× 35 0.3× 6 1.6k
Alexandra East-Seletsky United States 7 2.0k 1.5× 224 0.7× 187 1.0× 95 0.6× 35 0.3× 7 2.1k
Fedor V. Karginov United States 17 1.8k 1.4× 160 0.5× 120 0.7× 135 0.8× 144 1.3× 28 2.0k
Qi Pan China 17 1.1k 0.8× 329 1.1× 80 0.4× 156 0.9× 117 1.0× 35 1.4k
Yen Choo United Kingdom 22 2.3k 1.7× 314 1.1× 187 1.0× 183 1.1× 65 0.6× 43 2.5k
Shannon M. Miller United States 14 1.8k 1.4× 483 1.6× 213 1.2× 38 0.2× 292 2.6× 18 2.5k
Alexandra East Singapore 4 1.7k 1.3× 385 1.3× 166 0.9× 36 0.2× 35 0.3× 4 1.8k

Countries citing papers authored by Rhiannon K. Macrae

Since Specialization
Citations

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

Fields of papers citing papers by Rhiannon K. Macrae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rhiannon K. Macrae. 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 Rhiannon K. Macrae. The network helps show where Rhiannon K. Macrae may publish in the future.

Co-authorship network of co-authors of Rhiannon K. Macrae

This figure shows the co-authorship network connecting the top 25 collaborators of Rhiannon K. Macrae. A scholar is included among the top collaborators of Rhiannon K. Macrae 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 Rhiannon K. Macrae. Rhiannon K. Macrae 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.
Faure, Guilhem, Makoto Saito, Max E. Wilkinson, et al.. (2025). TIGR-Tas: A family of modular RNA-guided DNA-targeting systems in prokaryotes and their viruses. Science. 388(6746). eadv9789–eadv9789. 17 indexed citations
2.
Friedrich, Mirco, Chris King, Chau-Duy-Tam Vo, et al.. (2025). Rational engineering of minimally immunogenic nucleases for gene therapy. Nature Communications. 16(1). 105–105. 15 indexed citations
3.
Kappel, Kalli, Daniel Strebinger, Chau-Duy-Tam Vo, et al.. (2025). Characterizing protein sequence determinants of nuclear condensates by high-throughput pooled imaging with CondenSeq. Nature Methods. 22(7). 1464–1475. 1 indexed citations
4.
Friedrich, Mirco, Julie Pham, Jiakun Tian, et al.. (2025). Transient hepatic reconstitution of trophic factors enhances aged immunity. Nature. 650(8101). 481–489.
5.
Wilkinson, Max E., Daniel Strebinger, Blake Lash, et al.. (2025). Structure and biochemistry-guided engineering of an all-RNA system for DNA insertion with R2 retrotransposons. Nature Communications. 16(1). 6079–6079.
6.
Kannan, Soumya, Han Altae-Tran, Peiyu Xu, et al.. (2025). Evolution-guided protein design of IscB for persistent epigenome editing in vivo. Nature Biotechnology. 8 indexed citations
7.
Wilkinson, Max E., David Li, Linyi Gao, Rhiannon K. Macrae, & Feng Zhang. (2024). Phage-triggered reverse transcription assembles a toxic repetitive gene from a noncoding RNA. Science. 386(6717). eadq3977–eadq3977. 21 indexed citations
8.
Hirano, Seiichi, Han Altae-Tran, Soumya Kannan, Rhiannon K. Macrae, & Feng Zhang. (2024). Structural determinants of DNA cleavage by a CRISPR HNH-Cascade system. Molecular Cell. 84(16). 3154–3162.e5. 4 indexed citations
9.
Xu, Peiyu, Makoto Saito, Guilhem Faure, et al.. (2024). Structural insights into the diversity and DNA cleavage mechanism of Fanzor. Cell. 187(19). 5238–5252.e20. 5 indexed citations
10.
Strebinger, Daniel, Chris J. Frangieh, Mirco Friedrich, et al.. (2023). Cell type-specific delivery by modular envelope design. Nature Communications. 14(1). 5141–5141. 43 indexed citations
11.
Saito, Makoto, Peiyu Xu, Guilhem Faure, et al.. (2023). Fanzor is a eukaryotic programmable RNA-guided endonuclease. Nature. 620(7974). 660–668. 120 indexed citations breakdown →
12.
Nety, Suchita P., Han Altae-Tran, Soumya Kannan, et al.. (2023). The Transposon-Encoded Protein TnpB Processes Its Own mRNA into ωRNA for Guided Nuclease Activity. The CRISPR Journal. 6(3). 232–242. 18 indexed citations
13.
Hirano, Seiichi, Kalli Kappel, Han Altae-Tran, et al.. (2022). Structure of the OMEGA nickase IsrB in complex with ωRNA and target DNA. Nature. 610(7932). 575–581. 27 indexed citations
14.
Strecker, Jonathan, F. Esra Demircioglu, David Li, et al.. (2022). RNA-activated protein cleavage with a CRISPR-associated endopeptidase. Science. 378(6622). 874–881. 48 indexed citations
16.
Gao, Linyi, Max E. Wilkinson, Jonathan Strecker, et al.. (2022). Prokaryotic innate immunity through pattern recognition of conserved viral proteins. Science. 377(6607). eabm4096–eabm4096. 138 indexed citations breakdown →
17.
Kato, Kazuki, Sae Okazaki, Soumya Kannan, et al.. (2022). Structure of the IscB–ωRNA ribonucleoprotein complex, the likely ancestor of CRISPR-Cas9. Nature Communications. 13(1). 6719–6719. 27 indexed citations
18.
Altae-Tran, Han, Soumya Kannan, F. Esra Demircioglu, et al.. (2021). The widespread IS200/IS605 transposon family encodes diverse programmable RNA-guided endonucleases. Science. 374(6563). 57–65. 239 indexed citations breakdown →
19.
Segel, Michael, Blake Lash, Alim Ladha, et al.. (2021). Mammalian retrovirus-like protein PEG10 packages its own mRNA and can be pseudotyped for mRNA delivery. Science. 373(6557). 882–889. 289 indexed citations breakdown →
20.
Saito, Makoto, Alim Ladha, Jonathan Strecker, et al.. (2021). Dual modes of CRISPR-associated transposon homing. Cell. 184(9). 2441–2453.e18. 91 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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