Ian J. MacRae

10.2k total citations · 3 hit papers
62 papers, 7.2k citations indexed

About

Ian J. MacRae is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Ian J. MacRae has authored 62 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 18 papers in Cancer Research and 10 papers in Plant Science. Recurrent topics in Ian J. MacRae's work include RNA Interference and Gene Delivery (22 papers), RNA Research and Splicing (21 papers) and MicroRNA in disease regulation (18 papers). Ian J. MacRae is often cited by papers focused on RNA Interference and Gene Delivery (22 papers), RNA Research and Splicing (21 papers) and MicroRNA in disease regulation (18 papers). Ian J. MacRae collaborates with scholars based in United States, Netherlands and Canada. Ian J. MacRae's co-authors include Luca F. R. Gebert, N.T. Schirle, Jennifer A. Doudna, Jessica Sheu‐Gruttadauria, Ashley J. Pratt, Kaihong Zhou, W. Zacheus Cande, Fei Li, Enbo Ma and Angela N. Brooks and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ian J. MacRae

62 papers receiving 7.2k citations

Hit Papers

Regulation of microRNA function i... 2006 2026 2012 2019 2018 2006 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian J. MacRae United States 33 5.9k 3.1k 808 520 473 62 7.2k
Kevin V. Morris United States 44 7.3k 1.2× 4.1k 1.3× 489 0.6× 659 1.3× 371 0.8× 131 8.7k
Benjamin Haley United States 35 5.3k 0.9× 2.0k 0.7× 684 0.8× 902 1.7× 173 0.4× 75 6.6k
Minchen Chien United States 16 3.6k 0.6× 2.3k 0.8× 962 1.2× 529 1.0× 544 1.2× 17 5.3k
David Brown United States 41 9.0k 1.5× 6.4k 2.1× 1.8k 2.3× 529 1.0× 384 0.8× 86 12.1k
Marc R. Fabian Canada 31 5.8k 1.0× 3.3k 1.1× 714 0.9× 550 1.1× 104 0.2× 58 7.4k
Jeff Coller United States 36 7.1k 1.2× 1.8k 0.6× 384 0.5× 346 0.7× 189 0.4× 56 7.8k
Timothy W. Nilsen United States 45 6.8k 1.1× 1.5k 0.5× 735 0.9× 756 1.5× 348 0.7× 134 8.6k
Mo‐Fang Liu China 36 5.4k 0.9× 3.4k 1.1× 830 1.0× 539 1.0× 117 0.2× 73 6.6k
Tamás Kiss Hungary 44 7.3k 1.2× 1.5k 0.5× 965 1.2× 272 0.5× 215 0.5× 94 8.3k
Andreas Gruber Austria 31 4.1k 0.7× 982 0.3× 403 0.5× 282 0.5× 230 0.5× 47 5.7k

Countries citing papers authored by Ian J. MacRae

Since Specialization
Citations

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

Fields of papers citing papers by Ian J. MacRae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian J. 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 Ian J. MacRae. The network helps show where Ian J. MacRae may publish in the future.

Co-authorship network of co-authors of Ian J. MacRae

This figure shows the co-authorship network connecting the top 25 collaborators of Ian J. MacRae. A scholar is included among the top collaborators of Ian J. 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 Ian J. MacRae. Ian J. 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.
Kim, Kijun, Stephan Köstlbacher, Daniel Tamarit, et al.. (2024). RNA-guided RNA silencing by an Asgard archaeal Argonaute. Nature Communications. 15(1). 5499–5499. 14 indexed citations
2.
Gebert, Luca F. R., et al.. (2024). Assembly of the bacterial ribosome with circularly permuted rRNA. Nucleic Acids Research. 52(18). 11254–11265. 3 indexed citations
3.
Xiao, Yao, et al.. (2023). A tiny loop in the Argonaute PIWI domain tunes small RNA seed strength. EMBO Reports. 24(6). e55806–e55806. 7 indexed citations
4.
Gainetdinov, Ildar, Joel Vega‐Badillo, Katharine Cecchini, et al.. (2023). Relaxed targeting rules help PIWI proteins silence transposons. Nature. 619(7969). 394–402. 42 indexed citations
5.
Arif, Amena, Shannon M. Bailey, Natsuko Izumi, et al.. (2022). GTSF1 accelerates target RNA cleavage by PIWI-clade Argonaute proteins. Nature. 608(7923). 618–625. 39 indexed citations
6.
Gebert, Luca F. R., Mansun Law, & Ian J. MacRae. (2021). A structured RNA motif locks Argonaute2:miR-122 onto the 5’ end of the HCV genome. Nature Communications. 12(1). 6836–6836. 12 indexed citations
7.
Gebert, Luca F. R., et al.. (2021). miR-122–based therapies select for three distinct resistance mechanisms based on alterations in RNA structure. Proceedings of the National Academy of Sciences. 118(33). 14 indexed citations
8.
Chowdhury, Saikat, et al.. (2021). Structural basis for piRNA targeting. Nature. 597(7875). 285–289. 76 indexed citations
9.
Sheu‐Gruttadauria, Jessica, Yao Xiao, Luca F. R. Gebert, & Ian J. MacRae. (2019). Beyond the seed: structural basis for supplementary micro RNA targeting by human Argonaute2. The EMBO Journal. 38(13). e101153–e101153. 102 indexed citations
10.
Xiao, Yao & Ian J. MacRae. (2019). Robust differential microRNA targeting driven by supplementary interactions in vitro. RNA. 26(2). 162–174. 11 indexed citations
11.
Ziv, Omer, Aaron T. L. Lun, Luca F. R. Gebert, et al.. (2018). COMRADES determines in vivo RNA structures and interactions. Nature Methods. 15(10). 785–788. 129 indexed citations
12.
Schirle, N.T. & Ian J. MacRae. (2012). The Crystal Structure of Human Argonaute2. Science. 336(6084). 1037–1040. 532 indexed citations breakdown →
13.
Lau, Pick‐Wei, Clinton S. Potter, Bridget Carragher, & Ian J. MacRae. (2009). Structure of the Human Dicer-TRBP Complex by Electron Microscopy. Structure. 17(10). 1326–1332. 63 indexed citations
14.
Lau, Pick‐Wei & Ian J. MacRae. (2008). The molecular machines that mediate microRNA maturation. Journal of Cellular and Molecular Medicine. 13(1). 54–60. 30 indexed citations
15.
MacRae, Ian J., Kaihong Zhou, & Jennifer A. Doudna. (2007). Structural determinants of RNA recognition and cleavage by Dicer. Nature Structural & Molecular Biology. 14(10). 934–940. 241 indexed citations
16.
MacRae, Ian J., Fei Li, Kaihong Zhou, W. Zacheus Cande, & Jennifer A. Doudna. (2006). Structure of Dicer and Mechanistic Implications for RNAi. Cold Spring Harbor Symposia on Quantitative Biology. 71(0). 73–80. 82 indexed citations
17.
MacRae, Ian J. & Jennifer A. Doudna. (2006). Ribonuclease revisited: structural insights into ribonuclease III family enzymes. Current Opinion in Structural Biology. 17(1). 138–145. 181 indexed citations
18.
MacRae, Ian J. & Jennifer A. Doudna. (2005). Ro’s Role in RNA Reconnaissance. Cell. 121(4). 495–496. 7 indexed citations
19.
MacRae, Ian J., Alan B. Rose, & Irwin H. Segel. (1998). Adenosine 5′-Phosphosulfate Kinase from Penicillium chrysogenum. Journal of Biological Chemistry. 273(44). 28583–28589. 35 indexed citations
20.
MacRae, Ian J. & Irwin H. Segel. (1997). ATP Sulfurylase from Filamentous Fungi: Which Sulfonucleotide Is the True Allosteric Effector?. Archives of Biochemistry and Biophysics. 337(1). 17–26. 17 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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