Cameron D. Mackereth
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
- RNA modifications and cancer
- Protein Structure and Dynamics
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
Papers in
-
- RNA Research and Splicing 20
- RNA and protein synthesis mechanisms 17
- RNA modifications and cancer 16
- Chemical Synthesis and Analysis 12
- Protein Structure and Dynamics 8
- Signaling Pathways in Disease 6
- Ubiquitin and proteasome pathways 5
- Co-authors
- Michael Sattler (10 shared papers)Lawrence P. McIntosh (8 shared papers)Ivan Huc (7 shared papers)Bernd Simon (5 shared papers)Tobias Madl (4 shared papers)Katia Zanier (2 shared papers)Juan Valcárcel (2 shared papers)Yann Ferrand (3 shared papers)
In The Last Decade
Cameron D. Mackereth
63 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.5k
- Biomaterials 216
- Organic Chemistry 381
- Spectroscopy 198
- Biophysics 56
Countries citing papers authored by Cameron D. Mackereth
This map shows the geographic impact of Cameron D. Mackereth'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 Cameron D. Mackereth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron D. Mackereth more than expected).
Fields of papers citing papers by Cameron D. Mackereth
This network shows the impact of papers produced by Cameron D. Mackereth. 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 Cameron D. Mackereth. The network helps show where Cameron D. Mackereth may publish in the future.
Co-authors
The 25 scholars most cited alongside Cameron D. Mackereth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 214 | |
| 2 | 2011 | 169 | |
| 3 | 1998 | 126 | |
| 4 | 2015 | 116 | |
| 5 | 2006 | 112 | |
| 6 | 2012 | 95 | |
| 7 | 2010 | 85 | |
| 8 | 2014 | 63 | |
| 9 | 2005 | 61 | |
| 10 | 2004 | 52 | |
| 11 | 2019 | 51 | |
| 12 | 2017 | 45 | |
| 13 | 2002 | 35 | |
| 14 | 2005 | 32 | |
| 15 | 2004 | 32 | |
| 16 | 2016 | 30 | |
| 17 | 2011 | 27 | |
| 18 | 2022 | 27 | |
| 19 | 2004 | 26 | |
| 20 | 2005 | 23 |
About Cameron D. Mackereth
Cameron D. Mackereth is a scholar working on Molecular Biology, Organic Chemistry, Biomaterials, Oncology and Ecology, having authored 64 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (16 papers), Chemical Synthesis and Analysis (12 papers), Protein Structure and Dynamics (8 papers), Signaling Pathways in Disease (6 papers), Ubiquitin and proteasome pathways (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Biomaterials (216 citations), Organic Chemistry (381 citations), Spectroscopy (198 citations) and Biophysics (56 citations). Cameron D. Mackereth has collaborated with scholars based in France, Canada and Germany. Frequent co-authors include Michael Sattler, Lawrence P. McIntosh, Ivan Huc, Bernd Simon, Tobias Madl, Katia Zanier, Juan Valcárcel, Yann Ferrand, Nagula Chandramouli and Brice Kauffmann. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Journal of Biological Chemistry, ChemBioChem and Nucleic Acids Research.
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.