William G. Mackenzie
- Physiology top 2%
- Lysosomal Storage Disorders Research 22
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus 7
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research 5
- Epidemiology top 10%
- Trypanosoma species research and implications 8
- Cell Biology top 10%
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- Carbohydrate Chemistry and Synthesis 8
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- Spinal Dysraphism and Malformations 5
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- Autoimmune and Inflammatory Disorders Research 4
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- Protease and Inhibitor Mechanisms 2
- Co-authors
- Shunji TomatsuTadao OriiRobert W. MasonYasuyuki SuzukiKazuki SawamotoCarlos Javier Alméciga-DíazEriko YasudaRoberto Giugliani
- Cited by
- PhysiologyRheumatologyGenetics
- Journals
- SHILAP Revista de lepidopterología (1 paper)International Journal of Molecular Sciences (1 paper)American Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesJapanColombia
In The Last Decade
William G. Mackenzie
25 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Physiology 843
- Rheumatology 316
- Genetics 115
- Epidemiology 353
- Cell Biology 136
Countries citing papers authored by William G. Mackenzie
This map shows the geographic impact of William G. 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 William G. Mackenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Mackenzie more than expected).
Fields of papers citing papers by William G. Mackenzie
This network shows the impact of papers produced by William G. 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 William G. Mackenzie. The network helps show where William G. Mackenzie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William G. 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 | 2019 | 47 | |
| 2 | 2019 | 42 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 26 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 79 | |
| 7 | 2015 | 12 | |
| 8 | 2015 | 52 | |
| 9 | 2015 | 57 | |
| 10 | 2015 | 20 | |
| 11 | 2014 | 93 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 47 | |
| 14 | 2014 | 39 | |
| 15 | 2014 | 76 | |
| 16 | 2013 | 53 | |
| 17 | 2013 | 77 | |
| 18 | 2013 | 27 | |
| 19 | 2011 | 12 | |
| 20 | 1996 | 4 |
About William G. Mackenzie
William G. Mackenzie is a scholar working on Physiology, Genetics and Rheumatology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (22 papers), Trypanosoma species research and implications (8 papers), Carbohydrate Chemistry and Synthesis (8 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Neurogenetic and Muscular Disorders Research (5 papers), Spinal Dysraphism and Malformations (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Physiology (843 citations), Rheumatology (316 citations) and Genetics (115 citations). William G. Mackenzie has collaborated with scholars based in United States, Japan and Colombia. Frequent co-authors include Shunji Tomatsu, Tadao Orii, Robert W. Mason, Yasuyuki Suzuki, Kazuki Sawamoto, Carlos Javier Alméciga-Díaz, Eriko Yasuda, Roberto Giugliani, Kenji E. Orii and Mary C. Theroux. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and American Journal of Medical Genetics.
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.