Gene H. MacDonald
- Molecular Biology
- Epidemiology top 10%
- Immunology top 10%
- Infectious Diseases top 10%
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Robert E. JohnstonYoshie Itoh-LindstromJenny P.‐Y. TingRobert A. BrowneJonathan A. McCullersVictor C. HuberLaura A. MillerM.N. Brackin
- Topics
- Mosquito-borne diseases and control (5 papers)HIV Research and Treatment (2 papers)RNA Interference and Gene Delivery (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Gene H. MacDonald
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 374
- Epidemiology 319
- Immunology 300
- Infectious Diseases 241
- Public Health, Environmental and Occupational Health 218
Countries citing papers authored by Gene H. MacDonald
This map shows the geographic impact of Gene H. MacDonald'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 Gene H. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene H. MacDonald more than expected).
Fields of papers citing papers by Gene H. MacDonald
This network shows the impact of papers produced by Gene H. MacDonald. 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 Gene H. MacDonald. The network helps show where Gene H. MacDonald may publish in the future.
Co-authorship network of co-authors of Gene H. MacDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Gene H. MacDonald. A scholar is included among the top collaborators of Gene H. MacDonald 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 Gene H. MacDonald. Gene H. MacDonald 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 | 5 | |
| 3 | 0 | |
| 4 | 32 | |
| 5 | 22 | |
| 6 | 258 | |
| 7 | 71 | |
| 8 | 209 | |
| 9 | 63 | |
| 10 | 48 | |
| 11 | 127 | |
| 12 | 55 | |
| 13 | 24 | |
| 14 | 25 | |
| 15 | 51 | |
| 16 | 45 | |
| 17 | 66 | |
| 18 | 30 |
About Gene H. MacDonald
Gene H. MacDonald is a scholar working on Virology, Health Information Management and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), HIV Research and Treatment (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Virology (70 citations), Immunology (300 citations) and Infectious Diseases (241 citations). Gene H. MacDonald has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Robert E. Johnston, Yoshie Itoh-Lindstrom, Jenny P.‐Y. Ting, Robert A. Browne, Jonathan A. McCullers, Victor C. Huber, Laura A. Miller, M.N. Brackin, Rachael Keating and Scott A. Brown. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.