William G. Mackenzie
- Physiology top 2%
- Epidemiology top 10%
- Rheumatology top 5%
- Molecular Biology
- Organic Chemistry top 10%
- Co-authors
- Shunji TomatsuTadao OriiRobert W. MasonYasuyuki SuzukiKazuki SawamotoCarlos Javier Alméciga-DíazEriko YasudaRoberto Giugliani
- Topics
- Lysosomal Storage Disorders Research (22 papers)Trypanosoma species research and implications (8 papers)Carbohydrate Chemistry and Synthesis (8 papers)
- Cited by
- PhysiologyRheumatologyGenetics
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesAmerican Journal of Medical Genetics
- 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
- Epidemiology 353
- Rheumatology 316
- Molecular Biology 217
- Organic Chemistry 167
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 of co-authors of William G. Mackenzie
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Mackenzie. A scholar is included among the top collaborators of William G. 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 William G. Mackenzie. William G. 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 | 47 | |
| 2 | 42 | |
| 3 | 49 | |
| 4 | 26 | |
| 5 | 30 | |
| 6 | 79 | |
| 7 | 12 | |
| 8 | 52 | |
| 9 | 57 | |
| 10 | 20 | |
| 11 | 93 | |
| 12 | 32 | |
| 13 | 47 | |
| 14 | 39 | |
| 15 | 76 | |
| 16 | 53 | |
| 17 | 77 | |
| 18 | 27 | |
| 19 | 12 | |
| 20 | 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) and Carbohydrate Chemistry and Synthesis (8 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.