Sandy MacDonald
Impact in
- Insect Science top 2%
- Insect symbiosis and bacterial influences
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Horticulture top 10%
Papers in
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- Genomics and Phylogenetic Studies 2
-
- Insect symbiosis and bacterial influences 5
- Insect-Plant Interactions and Control 3
- Co-authors
- Gavin H. Thomas (9 shared papers)Angela E. Douglas (5 shared papers)Georg Jander (2 shared papers)Peter D. Ashton (2 shared papers)Federica Calevro (1 shared paper)Alex C. C. Wilson (1 shared paper)John W. Moore (2 shared papers)Jeremy Zucker (1 shared paper)
- Journals
- Insect Molecular Biology (2 papers)Journal of Hepatology (1 paper)American Journal Of Pathology (1 paper)Journal of Biotechnology (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Sandy MacDonald
18 papers receiving 965 citations
Peers
Comparison fields: 5 of 106
- Insect Science 357
- Horticulture 17
- Microbiology 59
- Hepatology 58
- Parasitology 45
Countries citing papers authored by Sandy MacDonald
This map shows the geographic impact of Sandy 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 Sandy MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandy MacDonald more than expected).
Fields of papers citing papers by Sandy MacDonald
This network shows the impact of papers produced by Sandy 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 Sandy MacDonald. The network helps show where Sandy MacDonald may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandy MacDonald, 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 | 2016 | 196 | |
| 2 | 2010 | 185 | |
| 3 | 2015 | 110 | |
| 4 | 2009 | 87 | |
| 5 | 2012 | 70 | |
| 6 | 2011 | 53 | |
| 7 | 2009 | 44 | |
| 8 | 2010 | 42 | |
| 9 | 2014 | 38 | |
| 10 | 2015 | 38 | |
| 11 | 2016 | 35 | |
| 12 | 2014 | 26 | |
| 13 | 2015 | 18 | |
| 14 | 2004 | 12 | |
| 15 | 1978 | 10 | |
| 16 | 2005 | 7 | |
| 17 | 2005 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Sandy MacDonald
Sandy MacDonald is a scholar working on Molecular Biology, Insect Science, Pharmacology, Genetics and Microbiology, having authored 20 papers that have together received 977 indexed citations. Recurring topics across this work include Insect symbiosis and bacterial influences (5 papers), Insect-Plant Interactions and Control (3 papers), Plant and Fungal Interactions Research (2 papers), Microbial infections and disease research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Genomics and Phylogenetic Studies (2 papers), Electrocatalysts for Energy Conversion (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Insect Science (357 citations), Horticulture (17 citations), Microbiology (59 citations), Hepatology (58 citations) and Parasitology (45 citations). Sandy MacDonald has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Gavin H. Thomas, Angela E. Douglas, Georg Jander, Peter D. Ashton, Federica Calevro, Alex C. C. Wilson, John W. Moore, Jeremy Zucker, Stefano Colella and Hubert Charles. Their work appears in journals such as Insect Molecular Biology, Journal of Hepatology, American Journal Of Pathology, Journal of Biotechnology and PLoS neglected tropical diseases.
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.