Rhiannon K. Macrae
- Molecular Biology top 5%
- Genetics top 10%
- Plant Science top 10%
- Ecology top 10%
- Immunology
- Co-authors
- Feng ZhangEugene V. KooninHan Altae-TranKira S. MakarovaBlake LashMakoto SaitoSoumya KannanGuilhem Faure
- Topics
- CRISPR and Genetic Engineering (24 papers)RNA and protein synthesis mechanisms (15 papers)Advanced biosensing and bioanalysis techniques (8 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Rhiannon K. Macrae
29 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.3k
- Genetics 299
- Plant Science 179
- Ecology 165
- Immunology 113
Countries citing papers authored by Rhiannon K. Macrae
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 17 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 43 | |
| 12 | Fanzor is a eukaryotic programmable RNA-guided endonucleasebreakdown → | 120 |
| 13 | 18 | |
| 14 | 96 | |
| 15 | 48 | |
| 16 | 27 | |
| 17 | 0 | |
| 18 | 73 | |
| 19 | Mammalian retrovirus-like protein PEG10 packages its own mRNA and can be pseudotyped for mRNA deliverybreakdown → | 289 |
| 20 | The widespread IS200/IS605 transposon family encodes diverse programmable RNA-guided endonucleasesbreakdown → | 239 |
About Rhiannon K. Macrae
Rhiannon K. Macrae is a scholar working on Molecular Biology, Endocrinology and Plant Science, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (24 papers), RNA and protein synthesis mechanisms (15 papers) and Advanced biosensing and bioanalysis techniques (8 papers). The work is most often cited by research in Business and International Management (90 citations), Aging (43 citations) and Molecular Biology (1.3k citations). Rhiannon K. Macrae has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Feng Zhang, Eugene V. Koonin, Han Altae-Tran, Kira S. Makarova, Blake Lash, Makoto Saito, Soumya Kannan, Guilhem Faure, Max E. Wilkinson and Alim Ladha. Their work appears in journals such as Nature, Science and Cell.
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.