Farrell MacKenzie
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Signaling Pathways in Disease
- Histone Deacetylase Inhibitors Research
- Pharmacology top 5%
Papers in
-
- Cancer-related gene regulation 5
- Epigenetics and DNA Methylation 4
- Signaling Pathways in Disease 4
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
- Oncology 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Hui Ouyang (6 shared papers)Sirano Dhe‐Paganon (5 shared papers)Hee‐Won Park (5 shared papers)P.J. Finerty (5 shared papers)Jinrong Min (7 shared papers)W. Tempel (8 shared papers)Sergey A. Usanov (3 shared papers)Natallia Strushkevich (3 shared papers)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)Nature Structural & Molecular Biology (2 papers)FEBS Journal (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Farrell MacKenzie
20 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.4k
- Pharmacology 130
- Parasitology 83
- Cell Biology 198
- Oncology 254
Countries citing papers authored by Farrell MacKenzie
This map shows the geographic impact of Farrell MacKenzie'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 Farrell MacKenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farrell MacKenzie more than expected).
Fields of papers citing papers by Farrell MacKenzie
This network shows the impact of papers produced by Farrell MacKenzie. 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 Farrell MacKenzie. The network helps show where Farrell MacKenzie may publish in the future.
Co-authors
The 25 scholars most cited alongside Farrell MacKenzie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 280 | |
| 2 | 2010 | 230 | |
| 3 | 2010 | 192 | |
| 4 | 2011 | 173 | |
| 5 | 2010 | 170 | |
| 6 | 2007 | 161 | |
| 7 | 2010 | 130 | |
| 8 | 2006 | 129 | |
| 9 | 2012 | 76 | |
| 10 | 2010 | 49 | |
| 11 | 2012 | 49 | |
| 12 | 2009 | 47 | |
| 13 | 2010 | 42 | |
| 14 | 2006 | 40 | |
| 15 | 2014 | 35 | |
| 16 | 2012 | 35 | |
| 17 | 2009 | 28 | |
| 18 | 2014 | 28 | |
| 19 | 2008 | 23 | |
| 20 | 2011 | 22 |
About Farrell MacKenzie
Farrell MacKenzie is a scholar working on Molecular Biology, Oncology, Cell Biology, Pharmacology and Surgery, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (4 papers), Peptidase Inhibition and Analysis (4 papers), Signaling Pathways in Disease (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Pharmacology (130 citations), Parasitology (83 citations), Cell Biology (198 citations) and Oncology (254 citations). Farrell MacKenzie has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Hui Ouyang, Sirano Dhe‐Paganon, Hee‐Won Park, P.J. Finerty, Jinrong Min, W. Tempel, Sergey A. Usanov, Natallia Strushkevich, Irina Grabovec and John R. Walker. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Nature Structural & Molecular Biology and FEBS Journal.
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.