Ian R. Mackenzie
- Neurology top 0.01%
- Molecular Biology top 0.5%
- Physiology top 0.1%
- Genetics top 0.05%
- Neurology top 0.05%
- Co-authors
- Manuela NeumannRosa RademakersHoward FeldmanHans A. KretzschmarJohn Q. TrojanowskiLinda K. KwongDavid G. MuñozBruce L. Miller
- Topics
- Amyotrophic Lateral Sclerosis Research (113 papers)Alzheimer's disease research and treatments (78 papers)Parkinson's Disease Mechanisms and Treatments (56 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Ian R. Mackenzie
200 papers receiving 19.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Neurology 13.6k
- Molecular Biology 7.4k
- Physiology 6.1k
- Genetics 5.4k
- Neurology 4.1k
Countries citing papers authored by Ian R. Mackenzie
This map shows the geographic impact of Ian R. 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 Ian R. Mackenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian R. Mackenzie more than expected).
Fields of papers citing papers by Ian R. Mackenzie
This network shows the impact of papers produced by Ian R. 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 Ian R. Mackenzie. The network helps show where Ian R. Mackenzie may publish in the future.
Co-authorship network of co-authors of Ian R. Mackenzie
This figure shows the co-authorship network connecting the top 25 collaborators of Ian R. Mackenzie. A scholar is included among the top collaborators of Ian R. Mackenzie 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 R. Mackenzie. Ian R. Mackenzie 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 | 2 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 13 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 63 | |
| 11 | 6 | |
| 12 | 23 | |
| 13 | 7 | |
| 14 | 78 | |
| 15 | 73 | |
| 16 | 19 | |
| 17 | 189 | |
| 18 | Pathological TDP‐43 distinguishes sporadic amyotrophic lateral sclerosis from amyotrophic lateral sclerosis with SOD1 mutationsbreakdown → | 761 |
| 19 | Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosisbreakdown → | 4830 |
| 20 | 0 |
About Ian R. Mackenzie
Ian R. Mackenzie is a scholar working on Neurology, Neurology and Physiology, having authored 209 papers that have together received 19.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (113 papers), Alzheimer's disease research and treatments (78 papers) and Parkinson's Disease Mechanisms and Treatments (56 papers). The work is most often cited by research in Neurology (13.6k citations), Genetics (5.4k citations) and Neurology (4.1k citations). Ian R. Mackenzie has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Manuela Neumann, Rosa Rademakers, Howard Feldman, Hans A. Kretzschmar, John Q. Trojanowski, Linda K. Kwong, David G. Muñoz, Bruce L. Miller, Virginia M.‐Y. Lee and Deepak M. Sampathu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.